Asian perspectives on volunteering at the frontlines for medical students
Submitted: 1 June 2021
Accepted: 21 June 2021
Published online: 5 October, TAPS 2021, 6(4), 148-149
https://doi.org/10.29060/TAPS.2021-6-4/LE2545
Wai Jia Tam, Divya Hemavathi & Tikki Pang
Yong Loo Lin School of Medicine, National University of Singapore, Singapore
Dear Editor,
Engaging medical students in frontline efforts during the COVID-19 pandemic has varied greatly worldwide (Kachra & Brown, 2020). This paper illustrates policy challenges in student volunteerism, focusing on Singapore. Although Asia often seeks policy guidance from the West, it possesses a unique culture, political climate, regional solidarity, evolution of the disease, and learnings from prior pandemic responses to SARS and MERS, which warrants distinctive guidelines.
Following the spread of COVID-19 in early 2020, many countries, including Singapore, rapidly suspended student involvement in direct patient care activities and converted clinical training to online modes (Kachra & Brown, 2020). However, others like the United Kingdom and University of Toronto provided detailed guidelines and activated processes set-up during past pandemics for interested medical students to volunteer (Kachra & Brown, 2020; Medical Schools Council, 2020).
In Singapore, by June 2020, 95% of the COVID-19 cases were from migrant worker facilities. Medical students were offered reimbursements for help with contact tracing by Ministry of Health. Manpower strains existed, especially when lockdown ended, as healthcare workers returned to their usual duties. This presented an opportunity for medical students to continue with risk communication and community engagement (RCCE) efforts. However, direct medical student involvement was disallowed, until community transmission rates stabilized in April 2021. Even then, students were barred again before volunteer recruitment began, as community cases rose in May 2021.
Scepticism of the value of RCCE, ethical concerns about the safety and uncoerced, voluntary participation of students, political concerns to manage public fear of community spread through medical students, and educational and practical barriers to coordinating medical training with on-ground efforts contributed to the impediment of the mobilization of medical students in frontline efforts at the start of the pandemic.
Clear, evidence-based guidelines may be articulated to overcome these challenges and enable safe and effective deployment of students to provide thoughtfully matched and risk-mitigated help in context during evolving pandemic situations, even in the immediate aftermath of an outbreak. This exposure to global, social and equity dimensions of pandemic impacts helps foster future public health leaders. Given Singapore’s position in the intersection between the East and the West, it can lead such education policy reform in Asia, providing valuable input for policy development regionally and internationally.
Medical education policy is affected by governments, public opinion, international issues, and health policies. Comparative evaluation of medical education policies in Asia, may reveal their influence on health outcomes.
Note on Contributor
Dr. Wai Jia Tam conducted the literature search, conceptualised and drafted the manuscript. Prof. Tikki Pang and Divya Hemavathi critically revised the manuscript for intellectual content. All authors read and approved the final manuscript.
Funding
No funds, grants or other support was received.
Declaration of Interest
The authors have no conflicts of interest to declare that are relevant to the content of the article.
References
Kachra, R., & Brown, A. (2020). The new normal: Medical education during and beyond the COVID-19 pandemic. Canadian Medical Education Journal, 11(6), 167-169. https://dx.doi.org/10.36834%2Fcmej.70317
Medical Schools Council. (2020, March 25). Statement of expectation: Medical student volunteers in the NHS. https://www.medschools.ac.uk/news/msc-issues-statement-of-expectation-for-medical-student-volunteers-in-the-nhs
*Tam Wai Jia
Dean’s Office, Yong Loo Lin School of Medicine,
National University of Singapore,
Level 11, NUHS Tower Block,
1E Kent Ridge Road,
Singapore 119228, Singapore
Tel: +65 9627 3580
Email: waijia@nus.edu.sg
Submitted: 22 December 2020
Accepted: 8 February 2021
Published online: 5 October, TAPS 2021, 6(4), 146-147
https://doi.org/10.29060/TAPS.2021-6-4/PV2453
Simon Tso
Jephson Dermatology Centre, South Warwickshire NHS Foundation Trust, United Kingdom
Continuing professional development (CPD) is a professional obligation of clinicians aiming to ‘improve the safety and quality of care provided for patients and the public’ and ‘covers the development of your knowledge, skills, attitudes and behaviours across all areas of your professional practice’ (General Medical Council UK, 2020). The professional practice of clinicians is highly variable and may include clinical practice, management, education, academia and research, media and public engagement, advisory to charities and pharmaceutical companies, politics, and working for the government. Despite the varied role of clinicians, literature suggested that clinicians undertake the majority of their CPD in their specialist areas, although many clinicians are also interested in undertaking CPD in areas outside their specialty (Maher et al., 2017).
The year of 2020 was a challenging and sobering year for clinicians across the world with redeployment of clinicians from many specialities to undertake activities they were less familiar with (Seah, 2020). The phrase ‘CPD’ took on a new personal meaning through the change of my role as a consultant dermatologist during the COVID-19 pandemic and an unsuccessful application for a National Institute for Health Research (UK) advanced research fellowship so that I can establish myself as an independent researcher.
I volunteered to help with COVID-19 research at my employing hospital, but unexpectedly found myself becoming a site principal investigator for the UK nationally prioritised Randomised Evaluation of COVID-19 Therapy (RECOVERY Trial) that led to the discovery of dexamethasone as a treatment for COVID-19 hospitalised patients requiring oxygen therapy or ventilation support (RECOVERY Collaborative Group et al., 2021). It was a baptism of fire learning to manage and deliver the clinical trial while frantically trying to familiarise myself with the literature on pharmacology of trial medicinal products, human physiology and COVID-19 literature. I sought the counsel from my hospital’s senior research nurses, and research manager to jointly govern and deliver the trial at my hospital; and I also talked to colleagues and doctors in training to learn about the practicalities of managing COVID-19 patients in clinical settings. I kept records of my CPD related to COVID-19, reflected upon these experiences in my learning portfolio and discussed these experiences in my annual appraisal. These records also serve as evidence to justify my practices outside my area of specialism. Although I may possess relevant transferable skills and experience that facilitates me to lead and undertake work outside my speciality during the unprecedented time of the pandemic, it is important to maintain insight about our own limitations; learn from different resources; seek and accept help from others in a position of knowledge and experience whoever they may be, as this is crucial for delivering a safe service.
Despite my portfolio of varied research experience and higher research degree, I once held the wishful thinking that I could directly transition into an independent researcher due to my clinical role as a consultant. The feedback I received from the unsuccessful advanced research fellowship application has encouraged much needed reflexivity into my own strengths and limitations, and successfully challenged the naïve viewpoint that I once held. A consultant transitioning into an independent researcher is not an automatic process, but requires the progressive development of experience and credentials to justify the award of an advanced fellowship and it is ok to start from the beginning.
The literature described three broad categories of career paths: progressive, by chance and enthusiasts (Tuononen et al., 2018). CPD was crucial to my progressive career development into a consultant dermatologist and help me keep abreast with the latest evidence based clinical practices. Just-in-time CPD was important for me to discharge my leadership role as a site principal investigator in the RECOVERY Trial that I took on by chance as it was important for me to become knowledgeable about the topic and take responsibility about every aspect of the trial delivered at my site. I am enthusiastic about research and CPD is one of the many tools that can help me build the skills necessary to pursue clinical academia.
In conclusion, CPD is not just a professional obligation to keep ourselves up to date about evidence based practices in our specialty to deliver safe and high quality patient care, it is also a valuable tool to help us maintain our generalist knowledge outside our specialty (which we may rely upon if we get redeployed) and prepare us to reconfigure our career path.
Note on Contributor
Dr Simon Tso is a consultant dermatologist at the South Warwickshire NHS Foundation Trust, United Kingdom. He was responsible for conception and design of the work reported in the manuscript, reviewed the literature, drafted the manuscript and approved the final version of the manuscript submitted.
Acknowledgement
The author would like to thank his clinical and research work colleagues for their support throughout the pandemic.
Funding
There is no funding source required for this study.
Declaration of Interest
The author report no conflict of interest. The author is responsible for the content and writing of the article.
References
General Medical Council. (2020, December 11). Continuing professional development. General Medical Council United Kingdom. https://www.gmc-uk.org/education/standards-guidance-and-curricula/guidance/continuing-professional-development
Maher, B., Faruqui, A., Horgan, M., Bergin, C., Tuathaigh, C. O., & Bennett, D. (2017). Continuing professional development and Irish hospital doctors: A survey of current use and future needs. Clinical Medicine (London), 17(4), 307-315. https://doi.org/ 10.7861/clinmedicine.17-4-307
RECOVERY Collaborative Group., Horby, P., Lim, W. S., Emberson, J. R., Mafham, M., Bell, J. L., Linsell, L., Staplin, N., Brightling, C., Ustianowski, A., Elmahi, E., Prudon, B., Green, C., Felton, T., Chadwick, D., Rege, K., Fegan, C., Chappell, L. C., Faust, S. N., … Landray, M. J. (2021). Dexamethasone in Hospitalized Patients with Covid-19. The New England Journal of Medicine, 384(8), 693–704. https://doi.org/10.1056/NEJMoa2021436
Seah, K. M. (2020). Redeployment in COVID-19: Old dogs and new tricks. Emergency Medicine Journal, 37(7), 456. https://doi.org/ 10.1136/emermed-2020-210052
Tuononen, T. A., Suominen, A. L., & Lammintakanen, J. (2018). Career path from a dentist to a leader. Leadership in Health Services (Bradford England), 31(4), 384-397. https://doi.org/ 10.1108/LHS-08-2017-0051
*Simon Tso
Jephson Dermatology Centre,
South Warwickshire NHS Foundation Trust,
Warwick,
CV34 5BW, United Kingdom.
Tel: 01926495321 Ext 4569
Email: simontso@doctors.org.uk
Submitted: 15 January 2021
Accepted: 12 April 2021
Published online: 5 October, TAPS 2021, 6(4), 142-145
https://doi.org/10.29060/TAPS.2021-6-4/SC2489
Anne Thushara Matthias1, Gam Aacharige Navoda Dharani1, Gayasha Kavindi Somathilake2 & Saman B Gunatilake1
1Faculty of Medical Sciences, University of Sri Jayewardenepura, Gangodawila, Sri Lanka; 2 National Centre for Primary Care and Allergy Research, University of Sri Jayewardenepura, Sri Lanka
Abstract
Introduction: Multiple factors influence doctor-patient communication. A good consultation starts with an introduction of him or herself by the doctor to the patient. The next step is to address patients in a manner they prefer. There is a paucity of data about how best to address patients in an Asian country. This study investigates how patients prefer to be addressed by doctors.
Methods: This is a cross-sectional study conducted from July 1st to August 31st, 2020 at a single Centre: Colombo South Teaching Hospital in Sri Lanka.
Results: Of 1200 patients, 63.25% reported that doctors never introduced themselves and 97.91% of patients reported, doctors never inquired how to address them. 49.9% preferred to be addressed informally (as mother, father, sister) than by the name (first name, last name, title). The older female patients, married patients, patients of lower education, and lower monthly income preferred to be addressed informally.
Conclusion: Most doctors did not introduce themselves to patients during medical consultations and did not inquire how patients wish to be addressed.
Keywords: Doctor-Patient Relationship, Medical Consultation, Professionalism, Introduction, Doctor’s Name Badge, South Asian, Sri Lanka
I. INTRODUCTION
Professionalism plays an important role in the practice of medicine. The Charter on Medical Professionalism has a set of 10 commitments. Commitment to professional responsibilities is one of them. It includes the way doctors dress and conduct themselves during a consultation (Blank et al., 2003). Abiding by these principles, doctors can improve their interaction with patients resulting in a better outcome (Gillen et al., 2018) A good introduction will facilitate a positive attitude from the patient towards the doctor. “#hellomynameis” campaign in the UK was initiated to create awareness about the importance of an introduction (Egener et al., 2017).
Professionalism is impacted by social, cultural, and economic factors. It is believed that the translation of professionalism concepts across the world should consider national cultural difference. Studies from western populations have shown that most patients prefer being addressed by their first name and for the doctor to be introduced by their full name and title (Egener et al., 2017). There is a paucity of data on how Asian patients wish to be addressed.
The Sri Lankan society is hierarchical based on age, caste, wealth, educational qualifications, and profession. Respect for doctors comes naturally in this system. Doctors are treated with great respect in rural communities. It is quite common to find doctors not introducing themselves to the patient and expecting them to know who you are. In Sri Lanka, doctors tend to address the patients mostly informally addressing the patient as a family member- ‘father, mother, uncle, sister, etc.’, in the local language assuming it would connect with the patient better. This study explores the way doctors address patients in an Asian cultural setting and the patient’s expectations.
II. METHODS
A cross-sectional study was conducted from 1st July to 31st August 2020 at the Colombo South Teaching Hospital. A total of 1200 patients were selected from the wards in a sequential, systematic manner with a skip interval of one. Informed verbal consent was obtained from the participants. The first part of the questionnaire contained demographics. Some questions asked the participants about how they wish to be addressed and how doctors addressed them and how they would like their doctor to introduce themselves. Informal methods of address were mother, father, sister, etc. Formal methods were the use of the first name, last name, or titles.
Statistical analysis including the statistical significance tests was performed using SPSS IBM SPSS Statistics Version 20 IBM Corp. (2017), IBM SPSS Statistics for Windows. Armonk, NY: IBM Corp. Pearson Chi-Square Association Test was used to identify the statistically significant associations between the categorical variables at a confidence level of 95%.
III. RESULTS
A. Demographics
(See Table 1)
Of the 1200 participants, 868 (72.33%) were female. Of the sample, 1022 (85.16%) were from urban areas.
|
Characteristics |
Number of participants (%) |
||||
|
Informal method
|
First name
|
Last name
|
No preference
|
||
|
Total |
|
599 |
427 |
77 |
79 |
|
Age |
Below 40 (< 40) (664) |
253 (38.10%) |
312 (46.99%) |
33 (4.97%) |
49 (7.38%) |
|
Above 40 (> = 40) (536) |
346 (64.55%) |
115 (21.46%) |
44 (8.21%) |
30 (5.60%) |
|
|
Education Level |
Post Graduate & Graduate (147) |
54 (36.73%) |
56 (38.1%) |
10 (6.8%) |
9 (6.12%) |
|
|
Grade 6-A/L (986) |
501 (50.81%) |
359 (36.41%) |
60 (6.09%) |
66 (6.69%) |
|
|
Grade 1-5 & Not educated (67) |
44 (65.67%) |
12 (17.91%) |
7 (10.44%) |
4 (5.97%) |
|
Income |
>100,000 (61) |
15 (24.6%) |
23 (37.7%) |
4 (6.56%) |
6 (9.84%) |
|
|
20,000-100,000 (982) |
490 (49.9%) |
357 (36.35%) |
66 (6.72%) |
64 (6.52%) |
|
|
<20000 (157) |
94 (59.87%) |
47 (29.93%) |
7 (4.45%) |
9 (0.75%) |
|
Occupation |
Skilled Occupations (581) |
251 (43.2%) |
230 (39.59%) |
40 (6.88%) |
84 (14.46%) |
|
|
Unskilled occupations (591) |
339 (57.36%) |
178 (30.11%) |
37 (6.26%) |
37 (6.36%) |
|
|
A/L & Uni students (28) |
9 (32.14%) |
19 (67.86%) |
– |
– |
Table 1. Difference between how patients wish to be addressed and vice versa
B. How Doctors Addressed Patients
Of the 1200 patients, 1175 (97.91%) reported that doctors never inquired how to address them at the beginning of the consultation (Matthias, 2021). A large proportion, 1124 (93.66%) reported that doctors have addressed them informally and 599 (49.9%) preferred being addressed informally, 427 (35.58%) preferred to be addressed by their first name, and 77 (6.41%) by their last name. Only 18, preferred to be addressed by their title (Dr/Rev).
More females preferred to be addressed informally when compared to the males (451/868 (51.96%) vs 148/332 (44.58%) (Pearson Chi-Square = 4.345, p = 0.037). Married patients preferred to be addressed informally when compared to the unmarried/divorced/separated (578/1089 (53.1%) vs 21/111 (18.9%), Pearson Chi-Square = 54.339, p < 0.001). The ethnicity of the patients and the area they are from (Urban/Rural) had no significant impact on how they desired to be addressed.
Over 65% of the patients (44/67) with a lower level of education preferred being addressed in an informal way whereas only 36.7% (54/147) of the graduates/post graduates preferred the informal way (Pearson Chi-Square = 23.264, p < 0.001). Monthly family income was a statistically significant variable and patients with a higher family income (Over LKR 100,000) preferred to be addressed more formally when compared to patients with an income below LKR 20,000 (40/61 = 65.57% Vs 54/157 = 34.39%, Pearson Chi-Square = 23.928, p < 0.001). The occupations of the patients are also a significant factor which affected their preference in the way being addressed with 57.4% of the patients with unskilled occupations (UN) and 43.2% of the ones with skilled occupations preferring the informal way (339/591 = 57.36% vs 251/581 = 43.20%, Pearson Chi-Square = 34.771, p < 0.001). Older patients (40 and above) preferred to be addressed informally when compared to others. (346/536 = 64.6% Vs 253/664 = 38.1%, p < 0.001).
Of 1059 patients, 495 (46.7%) preferred being addressed the informal way as they felt it made the doctor-patient relationship more personal and 627 (59.2%) patients felt the doctor treated them as their relative. Of the Doctors, 759 (63.25%) did not introduce themselves to the patients and 865 patients (72.08%) prefer doctors to wear a name badge. 718(59.8%) wanted doctors to introduce themselves with the title, doctor’s designation and specialty. 246(20.5%) wanted doctors to tell their title and first name. Only 4(0.3%) didn’t want doctors to introduce themselves.
IV. DISCUSSION
One important finding from our study was that doctors did not introduce themselves to patients. In most state sector hospitals in Sri Lanka, doctors do not wear a white coat or a name badge at present. A study done in the UK showed that 59.1% of patients and in our study 72% felt that doctors should wear name badges as a form of identification (Van Der Merwe et al., 2016). In our study, 98% of patients reported that doctors never inquired how to address them at the beginning of the consultation. To improve this aspect, these areas should be included in the objectives of the medical curriculum and continuous medical education programs of young doctors. The “Personal and professional development stream” which is taught in the medical faculty at Sri Jayewardenepura in Sri Lanka is an avenue that can be used for this purpose.
Social, cultural, ethnic, and other demographic factors can influence preferred modes of address. In our study, 50% prefer to be addressed in the informal way. There are several possible reasons for this. Sri Lankan people have long-standing cultural and religious beliefs. Sri Lankan traditions revolve around two dominant religions Buddhism & Hinduism. Filial piety, respect for one’s parents and elders, is a concept that is present in Asian countries. Addressing a person as a mother, father, son, etc. is considered as showing respect. The patients feel the doctors treat them as their own family or relative when they are addressed this way.
In studies done in most western countries, patients wish to be addressed by their first name. The higher the income and higher the education level of the patient, the lower is their preference for being addressed the informal way as they might perceive it as less professional. To solve the dilemma of whether to call the patient formally or informally and to make sure the patient is addressed according to their preference, the best approach would be to question the patient about their preferred name during their initial consultation and to record that in the patient’s records.
A. Strengths and Limitations
The large number of participants and recruiting from different wards; medical, surgical, paediatric, gynecology, and obstetrics to cover patients who were in the hospital for different illnesses are strengths. Not only did the study examine the patients’ preferred method of address, it examined the reasons behind the preference.
V. CONCLUSION
Our findings support a patient preference for informal greetings from their doctors in half the study population. It is not safe to assume that the patient can be addressed anyway the doctor deems right and it is good practice to ask patients how they prefer to be called at the beginning of the consultation. Doctors should introduce themselves clearly to patients and the current rates of introduction are inadequate. Majority of the patients prefer doctors to wear a name badge. In order to address patients in a culturally appropriate and patient preferred method it is always useful to ask the patient how they wish to be addressed.
Notes on Contributors
Anne Thushara Matthias was involved in conceptualisation, Methodology, Validation, Writing – Review & Editing, Supervision, Gam Aacharige Navoda Dharani was involved in investigation and data Curation, Gayasha Kavindi Somathilake was involved in formal analysis and Saman B Gunatilake was involved in writing final draft and review.
Ethical Approval
Ethical approval was from the Ethics Review Committee of the Colombo South Teaching Hospital(ERC 873/2020). There were no ethical issues. Informed consent was taken from the participants.
Data Availability
The datasets used during the current study are available from the corresponding author on reasonable request https://figshare.com/s/e6db9a7246f9ef08474a10.6084/m9.figshare.13633949 (Matthias, 2021).
Funding
No funding sources are associated with this paper.
Declaration of Interest
The authors declare that they have no competing interests.
References
Blank, L., Kimball, H., McDonald, W., & Merino, J. (2003). Medical professionalism in the new millennium: A physician charter 15 months later. Annals of Internal Medicine, 138(10), 839–841. https://doi.org/10.7326/0003-4819-138-10-200305200-00012
Egener, B. E., Mason, D. J., McDonald, W. J., Okun, S., Gaines, M. E., Fleming, D. A., Rosof, B. M., Gullen, D., & Andresen, M. L. (2017). The charter on professionalism for health care organizations. Academic Medicine, 92(8), 1091–1099. https://doi.org/10.1097/ACM.0000000000001561
Gillen, P., Sharifuddin, S. F., O’Sullivan, M., Gordon, A., & Doherty, E. M. (2018). How good are doctors at introducing themselves? #hellomynameis. Postgraduate Medical Journal, 94(1110), 204–206. https://doi.org/10.1136/postgradmedj-2017-135402
Matthias, T. (2021). Patient preferences of how they wish to be addressed in a medical consultation – Study from Sri Lanka. https://figshare.com/s/e6db9a7246f9ef08474a
Van Der Merwe, J. W., Rugunanan, M., Ras, J., Röscher, E. M., Henderson, B. D., & Joubert, G. (2016). Patient preferences regarding the dress code, conduct and resources used by doctors during consultations in the public healthcare sector in Bloemfontein, free state. South African Family Practice, 58(3), 94–99. https://doi.org/10.1080/20786190.2016.1187865
*Anne Thushara Matthias
Faculty of Medical Sciences,
University of Sri Jayewardenepura
Email: thushara.matthias@sjp.ac.lk
Submitted: 21 January 2021
Accepted: 16 April 2021
Published online: 5 October, TAPS 2021, 6(4), 135-141
https://doi.org/10.29060/TAPS.2021-6-4/SC2484
Caroline Choo Phaik Ong1,2, Candy Suet Cheng Choo1, Nigel Choon Kiat Tan2,3 & Lin Yin Ong1,2
1Department of Paediatric Surgery, KK Women’s and Children’s Hospital, SingHealth, Singapore; 2SingHealth Duke-NUS Academic Medical Centre, Singapore; 3Department of Neurology, National Neuroscience Institute, SingHealth, Singapore
Abstract
Introduction: The COVID-19 pandemic accelerated use of technology like videoconferencing (VC) in healthcare settings to maintain clinical teaching and continuous professional development (CPD) activities. Sociomaterial theory highlights the relationship of humans with sociomaterial forces, including technology. We used sociomaterial framing to review effect on CPD learning outcomes of morbidity and mortality meetings (M&M) when changed from face-to-face (FTF) to VC.
Methods: All surgical department staff were invited to participate in a survey about their experience of VC M&M compared to FTF M&M. Survey questions focused on technological impact of the learning environment and CPD outcomes. Respondents used 5-point Likert scale and free text for qualitative responses. De-identified data was analysed using Chi-squared comparative analysis with p<0.05 significance, and qualitative responses categorised.
Results: Of 42 invited, 30 (71.4%) responded. There was no significant difference in self-reported perception of CPD learning outcomes between FTF and VC M&M. Participants reported that VC offered more convenient meeting access, improved ease of presentation and viewing but reduced engagement. VC technology allowed alternative communication channels that improved understanding and increased junior participation. Participants requested more technological support, better connectivity and guidance on VC etiquette.
Conclusion: VC technology had predictable effects of improved access, learning curve problems and reduced interpersonal connection. Sociomaterial perspective revealed additional unexpected VC behaviours of chat box use that augmented CPD learning. Recognising the sociocultural and emotional impact of technology improves planning and learner support when converting FTF to VC M&M.
Keywords: Teleconferencing, Morbidity and Mortality Meeting, Continuous Professional Development, Sociomaterial Theory
I. INTRODUCTION
The COVID-19 pandemic instigated worldwide social distancing and rapid uptake of technology to replace face to face (FTF) communication. Healthcare professionals at clinical workplaces adopted educational technological tools to maintain teaching for students, trainees and continuous professional development (CPD) activities (Cleland et al., 2020). Likewise, our hospital-based department pivoted from FTF to interactive web-based videoconferencing (VC) (Zoom) to continue patient-care quality audits and CPD learning.
Before the pandemic, there was limited interest in teleconferencing for health professions education apart from remote learning and formal CPD webinars (Chipps et al., 2012). VC for informal CPD like the Morbidity and Mortality meeting (M&M) was mentioned only to boost attendance of faculty based at distant campuses. The M&M is a regular audit practice of surgical departments that constitutes an important type of informal CPD for individual and organisational learning (de Feijter et al., 2013). Many guidelines exist for FTF M&M but there are none for VC M&M.
Sociomaterial theory examines the mutual relationship of humans with sociomaterial forces and the resultant changes i.e., humans acting on and influenced by objects, nature, culture and/or technology. It provides a useful perspective to evaluate the effect of VC CPD learning and practice by highlighting the importance of materiality – in this case, technology – that is overlooked by other human-centric sociocultural educational theories (Fenwick, 2014). Using sociomaterial framing, we aimed to review the impact of changing from FTF to VC M&M in terms of CPD learning outcomes and user experience.
II. METHODS
A. Description of Context
On 7 Feb 2020, Singapore declared Orange Alert (severity level 3 out of 4) on the national Disease Outbreak Response System in response to the COVID-19 pandemic. Nationwide infection control measures required staff social distancing in public hospitals. Our department (Appendix A: department context and demographics) organises weekly Journal club and M&M as regular CPD; these were converted from FTF to VC meetings from 25 March 2020 till present. Singapore has widespread digital literacy and familiarity with computer usage; our hospital has used electronic health records since 2018. These factors facilitated our rapid pivot to VC meetings.
B. Description of Study
With institutional research board ethics waiver (CIRB Ref: 2020/2697), we sent an email inviting all department staff to participate in a survey about their experience of VC M&M compared to FTF M&M. The sampling frame comprised 18 permanent staff and 24 temporary staff on rotation in the department, from 1 April to 30 June 2020.
The primary outcomes of the survey were self-reported perceptions comparing FTF and VC M&M, addressing categories of CPD learning relevant to M&M: knowledge, practice change, attitude, user outcomes and intention to change (Table 1: Q1-Q3). We asked additional questions (Q4-14) about the FTF/ VC learning environments to elicit possible technological effects on primary outcomes. Face validity of the questionnaire was assessed by authors CCPOng, NCKTan and LYOng who are physicians familiar with M&M.
Recruitment, data collection, data entry and de-identification was performed by author CSChoo (clinical research coordinator) who is outside the department clinical hierarchy. Survey non-responders were given two reminders by CSChoo before the final 3-week deadline. Consent was implied if participants returned the completed survey. Authors CCPOng and CSChoo analysed the de-identified data. Participants responded whether they agreed with the statement, using a 5-point Likert scale. We carried out Chi-squared comparative analysis on 3 grouped categories: (strongly agree+ agree); (neutral) and (disagree+ strongly disagree).
III. RESULTS
A. Descriptive Demographics
We received responses from 30 people out of 42 invited (71.4%) with similar response rates for permanent staff 13/18 (72.2%) and temporary staff 17/24 (70.8%). Appendix A provides details on age, gender, job grade of respondents and prior familiarity with VC.
B. Survey Findings
The participants had attended on average 18.7 (SD 13.4) FTF M&M and 15.1(SD 8.3) VC M&M in the preceding 12 months. Apart from VC M&M, all had attended some other VC event such as administrative meetings, tutorials, webinars and non-work-related workshops or dinners.
|
Q |
Perception |
Analysis* group |
FTF M&M |
VC M&M |
p-value |
|||||||||
|
Strongly disagree & Disagree |
Neutral |
Strongly Agree & Agree |
Strongly disagree & Disagree |
Neutral |
Strongly Agree & Agree |
|||||||||
|
Q1 |
I learnt new medical knowledge |
whole |
0 |
5(16.7) |
25 (83.3) |
1 (3.3) |
0 |
29 (96.7) |
0.043 |
|||||
|
sub |
0 |
1 (4.2) |
23 (95.8) |
1 (4.2) |
0 |
23 (95.8) |
0.368 |
|||||||
|
Q2 |
I learnt new skills (e.g. clinical, teaching, communication, research, team, practical) |
whole |
0 |
7 (23.3) |
23 (76.7) |
1 (3.3) |
5 (16.7) |
24 (80.0) |
0.508 |
|||||
|
sub |
0 |
3 (12.5) |
21 (87.5) |
1 (4.2) |
3 (12.5) |
20 (83.3) |
0.599 |
|||||||
|
Q3 |
I would change my practice based on what I learnt |
whole** |
0 |
7 (24.1) |
22 (75.9) |
1 (3.3) |
3 (10.0) |
26 (86.7) |
0.233 |
|||||
|
sub** |
0 |
3 (13) |
20 (87.0) |
1 (4.2) |
2 (8.3) |
21(87.5) |
0.548 |
|||||||
|
Q4 |
Junior staff are comfortable presenting |
whole |
2 (6.7) |
8 (26.7) |
20 (66.7) |
1 (3.3) |
3 (10.0) |
26 (86.7) |
0.184 |
|||||
|
sub |
2 (8.3) |
3 (12.5) |
19 (79.2) |
1 (4.2) |
2 (8.3) |
21 (87.5) |
0.729 |
|||||||
|
Q5 |
Participants are comfortable to ask questions to clarify |
whole |
4 (13.3) |
9 (30.0) |
17 (56.7) |
3 (10.0) |
7 (23.3) |
20 (66.7) |
0.728 |
|||||
|
sub |
4 (17.7) |
5 (20.8) |
15 (62.5) |
3 (12.5) |
6 (25) |
15 (62.5) |
0.890 |
|||||||
|
Q6 |
Participants are comfortable to raise concerns or disagree with management |
whole |
3 (10.0) |
10 (33.3) |
17 (56.7) |
4 (13.3) |
5(16.7) |
21 (70.0) |
0.328 |
|||||
|
sub |
3 (12.5) |
6 (25.0) |
15 (62.5) |
4 (16.7) |
4 (16.7) |
16 (66.7) |
0.750 |
|||||||
|
Q7 |
Tone of discussion is respectful |
whole |
4 (13.3) |
10 (33.3) |
16 (53.3) |
1 (3.3) |
6 (20.0) |
23 (76.7) |
0.132 |
|||||
|
sub |
3 (12.5) |
6 (25.0) |
15 (62.5) |
1 (4.2) |
5 (20.8) |
18 (75.0) |
0.506 |
|||||||
|
Q8 |
Participants are engaged during the meeting |
whole |
2 (6.7) |
9 (30.0) |
19 (63.3) |
6 (20.0) |
8 (26.7) |
16 (53.3) |
0.314 |
|||||
|
sub |
2 (8.3) |
4 (16.7) |
18 (75.0) |
6 (25.0) |
7 (29.2) |
11(45.8) |
0.105 |
|||||||
|
Q9 |
I can see the slides clearly |
whole |
0 |
9 (30.0) |
21 (70.0) |
2 (6.7) |
1 (3.3) |
27 (90.0) |
0.01 |
|||||
|
sub |
0 |
4 (16.7) |
20 (83.3) |
2 (8.3) |
1 (4.2) |
21 (87.5) |
0.148 |
|||||||
|
Q10 |
I can follow the discussion well |
whole |
0 |
5 (16.7) |
25 (83.3) |
3 (10.0) |
3 (10.0 |
24(80.0) |
0.172 |
|||||
|
sub |
0 |
1 (4.2) |
23 (95.8) |
3 (12.5) |
3 (12.5) |
18 (75.0) |
0.100 |
|||||||
|
Q11 |
It is easy to provide comments during the meeting |
whole |
3 (10.0) |
8 (26.7) |
19 (63.3) |
6 (20.0) |
6 (20.0) |
18 (60.0) |
0.519 |
|||||
|
sub |
3 (12.5) |
3 (12.5) |
18 (75.0) |
6 (25.0) |
6 (25.0) |
12 (50.0) |
0.202 |
|||||||
|
Questions about VC M&M only |
||||||||||||||
|
Q12 |
I find it easy to navigate the buttons/ commands |
Strongly disagree & Disagree |
Neutral |
Strongly Agree & Agree |
||||||||||
|
3 (10%) |
3 (10%) |
24 (80%) |
||||||||||||
|
Q13 |
I prefer to ask questions / comment by |
Typing |
No preference |
Audio |
||||||||||
|
15 (50%) |
12 (40%) |
3 (10%) |
||||||||||||
|
Q14 |
I prefer to have the video on/ off for |
Myself |
Host |
Presenter |
Participant |
|||||||||
|
On |
4 (13.3%) |
12 (40%) |
21 (70%) |
2 (6.7%) |
||||||||||
|
Off |
22 (73.3%) |
3 (10%) |
1 (3.3%) |
8 (26.7%) |
||||||||||
|
No preference |
4 (13.3%) |
15 (50%) |
8 (26.7%) |
20 (66.7%) |
||||||||||
Table 1. Results of the survey
Table 1 shows the collated responses to survey questions comparing experience of FTF and VC M&M (Q1-11) and questions specific to VC technology (Q12-14). There were six participants who either had zero experience of FTF M&M or had experienced FTF M&M only in other departments, not ours. We carried out subgroup analysis excluding these 6 persons to remove possible influence of other M&M styles, since the study focus was on impact of VC technology.
In general, self-reported perceptions of CPD outcomes were similar for both FTF and VC M&M. Participants appreciated that VC allowed us to continue M&M practice during the pandemic while acknowledging both positive and negative technological influences on process. Two questions (Q1 and Q9) had minor differences that were significant on whole group analysis but not significant on subgroup analysis. There was a trend towards decreased engagement for VC M&M compared to FTF M&M (Q8) that was not statistically significant.
When using VC (Table 1: Q12-14; Appendix B qualitative responses), more participants preferred to ask questions or comment by typing in the chat box than speaking on microphone. The most common reason given was to avoid interrupting meeting flow; some highlighted that the chat box facilitated junior staff participation. A few felt that keeping ‘video-on’ for all participants improved engagement but the rest preferred to have own ‘video-off’ with presenter ‘video-on’ to reduce distraction. Participants felt that while technology offered easier meeting access and simplified scheduling, it sometimes reduced engagement and interfered with community-building. Participants preferred more technological support, clearer guidance on expected VC behaviours, better infrastructure and connectivity.
A copy of the informed consent, survey questions and anonymised database are available at https://doi.org/10.6084/m9.figshare.13611611.v1.
IV. DISCUSSION
Sociomaterial perspectives offer new ways to conceptualise health professions education beyond individual cognitive and sociocultural educational lenses (Fenwick, 2014). Underpinned by diverse theories like cultural-historical activity theory, actor-network theory, and complexity theory, it recognises that “objects and humans act upon one another in ways that mutually transform their characteristics and activity” (Fenwick, 2014). Therefore, sociomaterial perspectives illuminate how technology (VC) and related infrastructure (devices and internet connectivity) interact with humans to modify the VC CPD learning environment.
In our context, widespread device penetration and free hospital Wi-Fi access aided rapid adoption of technology. Institution policy mandates internet separation from patient electronic health records, so staff use personal devices instead of hospital computers for meeting access, but it was otherwise straightforward to convert to VC M&M. Nevertheless, some unanticipated issues and VC behaviours manifested.
Introducing new technology is commonly associated with distress with learning how to use it. We chose Zoom as the most user-friendly VC platform because majority had no prior experience with VC. Unfortunately, early issues like ‘Zoom-bombing’ induced the company to make frequent user-interface changes that confused some users. A few participants (both younger and older) felt inadequately supported during their learning curve. We had provided a simple guidance document with link to online Zoom technical support but most preferred trial and error and asking for help during meetings.
Technical support alone is insufficient to address discomfort caused by social aspects of changed processes. We anticipated that uncertainty about protocols or inappropriate participant behaviours could lead to disengagement with poor CPD outcomes. We preempted these risks by following the same CPD framework as FTF M&M (e.g. moderator controls discussion, presentation template, focus on peer review learning without blame) and instituted additional VC safeguards for patient confidentiality by limiting patient identifiers, preventing recording and confirmation of attendee identity for meeting admission. We naturally evolved VC etiquette of queueing using the ‘raise-hand’ button while the moderator invites discussants by name and manages their order.
An ethnographic study of distributed VC in undergraduate medical education found that unintended ‘technologies of exposure’ – visual, curricular and auditory, discomforted the faculty and students (MacLeod et al., 2019). Similarly, many in our study disliked having their ‘video-on’. Although ‘video-on’ could improve interpersonal trust, visual exposure discomfort may interfere with aims of improved engagement and relationship-building. Originally, our department encouraged but did not mandate universal ‘video-on’. Gradually, it became the norm for all to have ‘video-off’ except the host and presenter. Despite ‘video-off’, we can maintain honest conversations necessary for M&M because of trust built through years of training and working together. Prolonged loss of FTF contact may erode trust, hence we created a departmental WhatsApp chat group to enhance social connection.
VC technology afforded unexpected learning contributions. The chat box promotes participation of reticent staff, both senior and junior, especially those preferring written expression; it augments understanding of audio discussion and allows sharing of links to supporting literature. The ease of participation empowers juniors and shifts focus from the vocal few who dominated FTF M&M. While the VC constraint of turn-taking for speakers slows down discussions, it improves interprofessional respect and meeting discipline when host can ‘mute’ the recalcitrant interrupter.
V. CONCLUSION
Sociomaterial perspectives highlight how VC technology changes the CPD learning environment of the M&M. VC provides improved access for participation and alternative communication channels but potentially reduces engagement. Recognising constraints and trade-offs of technology-driven enhancements allows better planning and learner support in VC CPD.
Note on Contributor
Caroline Choo Phaik Ong reviewed the literature, designed the study, analysed de-identified data and wrote the manuscript. Candy Suet Chong Choo performed data collection and de-identification, analysed the data and gave critical feedback to the writing of the manuscript. Nigel Choon Kiat Tan reviewed the literature, advised the design of the study and gave critical feedback to the writing of the manuscript. Lin Yin Ong advised design of the study and gave critical feedback to the writing of the manuscript. All the authors have read and approve the final manuscript.
Ethical Approval
This study received institutional research board ethics waiver (CIRB Ref: 2020/2697).
Acknowledgement
The authors would like to acknowledge the participants of the survey for sharing their responses freely.
Funding
This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.
Declaration of Interest
All the authors have no declarations of conflicts of interest.
Data availability
A copy of the informed consent, survey questions and anonymised database are available at http://doi.org/10.6084/m9.figshare.13611611.v1 under CC0 licence.
References
Chipps, J., Brysiewicz, P., & Mars, M. (2012). A systematic review of the effectiveness of videoconference-based tele-education for medical and nursing education. Worldviews on Evidence-Based Nursing, 9(2), 78-87. https://doi.org/10.1111/j.1741-6787.2012.00241.x
Cleland, J., Tan, E. C. P., Tham, K. Y., & Low-Beer, N. (2020). How COVID-19 opened up questions of sociomateriality in healthcare education. Advances in Health Sciences Education, 25(2), 479-482. https://doi.org/10.1007/s10459-020-09968-9
de Feijter, J. M., de Grave, W. S., Koopmans, R. P., & Scherpbier, A. J. J. A. (2013). Informal learning from error in hospitals: what do we learn, how do we learn and how can informal learning be enhanced? A narrative review. Advances in Health Sciences Education, 18(4), 787-805. https://doi.org/10.1007/s10459-012-9400-1
Fenwick, T. (2014). Sociomateriality in medical practice and learning: Attuning to what matters. Medical Education, 48(1), 44-52. https://doi.org/10.1111/medu.12295
MacLeod, A., Cameron, P., Kits, O., & Tummons, J. (2019). Technologies of exposure: Videoconferenced distributed medical education as a sociomaterial practice. Academic Medicine, 94(3), 412-418. https://doi.org/10.1097/ACM.0000000000002536
*Caroline CP Ong
KK Women’s and Children’s Hospital,
100 Bukit Timah Road,
Singapore 229899
Tel: +65 63941113
Fax: +65 62910161
Email: Caroline.ong.c.p@singhealth.com.sg
Submitted: 27 January 2021
Accepted: 1 April 2021
Published online: 5 October, TAPS 2021, 6(4), 131-134
https://doi.org/10.29060/TAPS.2021-6-4/SC2478
Lean Heong Foo & Marianne Meng Ann Ong
Department of Restorative Dentistry, National Dental Centre Singapore, Singapore
Abstract
Introduction: The novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused the COVID-19 pandemic which started in 2020. This resulted in a disruption to educational activities across the globe. Dental education, in particular, was affected because of its vocational nature where learners come into close contact with patients when performing dental procedures.
Methods: This is a narrative review with no research data analysis involved.
Results: Social distancing measures introduced to curb the spread of the infection revolutionised the advancement of online education as the virtual environment is a safer place to conduct teaching compared to face-to-face teaching. In this article, we share our experience at the National Dental Centre Singapore (NDCS) in ensuring the safety of our faculty and learners when conducting didactic and clinical education during the pandemic. Didactic lectures were conducted in the virtual environment via synchronous and non-synchronous teaching. Essential clinical education was conducted in small groups with safe management measures in place. In addition, we provide guidelines to highlight the importance of meticulous planning, thorough preparation, and seamless delivery in conducting effective synchronous teaching.
Conclusion: Safe management measures put in place to ensure the well-being of our faculty and learners can ensure dental education continuity during the pandemic.
Keywords: Dental Education, Education Continuity, COVID-19
I. INTRODUCTION
The COVID-19 pandemic is severely affecting dental professionals since the Department of Labor Occupational and Health Administration United States of America (USA) published guidelines associating aerosol-generating procedures (AGP) in dentistry with SARS-CoV-2 virus spread. Many dental schools in the USA and Asia Pacific have desisted clinical practice and simulation sessions, causing severe disruption in dental training (Chang et al., 2021). Innovative guidelines were developed to conduct dental education during the pandemic (Hong et al., 2021). Singapore has undergone five phases during the pandemic: Pre-pandemic, Circuit Breaker (CB), Phase 1, Phase 2, and Phase 3 (current). We share our experience in continuing dental education for oral healthcare team learners (residents, dental technicians trainees, dental assistant trainees) in NDCS during the pandemic.
II. CLINICAL ADJUSTMENTS
After the Ministry of Health Singapore (MOH) raised the Diseases Outbreak Response System Condition (DORSCON) level from yellow to orange on 7th February 2020 (Pre-pandemic), NDCS senior management immediately adopted team segregation by establishing three self-contained teams comprising clinicians, dental surgery assistants, lab technicians, patient service associate executives, and health attendants (Tay et al., 2020). Learners at NDCS were also assigned to teams. All staff and learners were briefed on safe management measures to observe during clinical sessions. They were required to wear a surgical mask at all times except during meals, perform hand hygiene with an alcohol-based hand sanitiser, and report their temperature twice daily online. Triage and risk assessment of patients were carried out (Hong et al., 2021; Tay et al., 2020) and dental procedures were limited to emergency procedures to relieve pain, ongoing dental treatment, and dental clearance before medical procedures during CB. Use of personal protective equipment (PPE) comprising an eye shield, N95 mask or respirator, surgical gown, and gloves were indicated for all AGP while the use of an eye shield, surgical mask, and surgical gown was indicated for non-AGP following a risk-based assessment (Tay et al., 2020). Patients with suspected COVID-19 or who had close contact with a confirmed case were treated in a negative pressure room with proper PPE. All patients were required to rinse with cetylpyridinium chloride mouth rinse before their procedure. A 15-minute window in between patients was implemented to disinfect the operatory until Phase 3.
III. EDUCATION PROGRAMME ADJUSTMENTS
We conduct three structured education programmes in NDCS–National Institute of Technical Education (NITEC) Dental Assisting (DA), NITEC Dental Technology (DT), and National University of Singapore Master of Dental Surgery Residency Training Programme (RTP) for six dental specialties. In addition, Singapore Institute of Technology (SIT) Diagnostic Radiography (DR) students have observation attachments at NDCS. During CB, Phase 1, and Phase 2, we postponed the new intake of learners for DA due to logistic issues with our collaborators. The posting of DR learners to our centre was also halted. All existing DA and DT learners were allocated to the same clinical team and completed their programme during the pandemic. Residents in the RTP were divided into two groups; one group was based in NDCS and the other in National University Centre for Oral Health Singapore during the 7-week CB. From Phase 1 onwards, the two groups of residents started weekly alternating rotations for their clinical sessions between the two institutions.
NDCS education activities are classified into didactics and clinical sessions. We conducted didactics using synchronous and non-synchronous formats while clinical sessions gradually resumed from Phase 1 to 3 following prevailing MOH and institutional policies. Synchronous teaching and seminars were carried out using Zoom and WebEx online platforms. Voice annotated presentations and e-learning modules were launched in the SingHealth e-learning platform, Wizlearn, for non-synchronous teaching. Clinical sessions were conducted with a small clinical supervisor-learner ratio (1:5), triage of patients, use of complete PPE with an N95 mask, hand hygiene, and high suction evacuator for AGP (Tay et al., 2020). Face-to-face sessions for essential hands-on clinical skills building were organised in Phase 2 and 3 with safe management measures in place such as small instructor-learner ratio, safe distances between learners and instructors, segregation of learners and instructors in groups, donning of surgical masks, meticulous hand hygiene, and proper disinfection after equipment use (Tay et al., 2020).
IV. GUIDELINES FOR ONLINE SYNCHRONOUS TEACHING
Mayer’s theory of multimedia learning (Mayer, 2002) describes the learning process in online education by highlighting the dual channels (auditory and visual) and three stages of memory (sensory, working, and long-term) for processing information. The learner’s eyes and ears capture diagrams and text in the multimedia presentation with sensory memory input. These are converted into a pictorial and verbal mode respectively in the working memory and integrated with prior knowledge from the long-term memory. Educators should prevent cognitive overload in content planning, as learners have limited capacity to hold the pictorial and verbal mode in working memory. A three-phase guide highlighting salient information for conducting effective online synchronous teaching is provided.
A. Meticulous Planning
To understand learners, faculty can adopt a 5W and 1 H concept [(who (the learners), where (location of teaching), why (learning objectives), what (lesson content), when (duration), and how (online platform in this context)] when planning a teaching module. Besides, faculty can construct the learning objectives and teaching activities using Bloom’s taxonomy based on learning outcomes. Bloom’s taxonomy covers six cognitive domains in the following order: knowledge, comprehension, application, analysis, synthesis, and evaluation, where a higher-order is more complicated for the learners to master and demonstrate.
B. Thorough Preparation
Apart from teaching material, a faculty guide is recommended. It should contain the schedule and details of the teaching session, teaching activities, and probing questions and answers for reference; to ensure all the teaching tasks are completed within the planned schedule. Handouts are used to reduce cognitive overload and as a backup when the connection is down. Generally, a good camera, laptop or smartphone, internet connection, a simple background with light, and a quiet room are sufficient for online teaching.
C. Seamless Delivery
Good online synchronous teaching platforms include Zoom, WebEx, Microsoft Teams, Google Meet, Mikogo, and Slack with breakout rooms and annotation board features that are included in the premium subscription of these platforms. A dry run is recommended to familiarise oneself with the functions on the various platforms. Setting the learning climate during the session by preparing learners to respond at appropriate times is crucial. The faculty should look at the camera frequently to keep eye contact with learners. Backup plans that include standby internet access and soft copy handouts are useful when connection is down. Increased feedback and communication between faculty and learners is crucial in online teaching and can be achieved by:
i) Using a learning management system such as GoSoapBox to allow learners to input text individually, particularly useful for clinical case discussion.
ii) Using Slido or Poll Everywhere to conduct needs analysis or summative or formative assessment between teaching.
iii) Utilising the question and answer segment to assess learners’ responses and check progress.
iv) Using the chatbox to allow learners to post questions and comments.
Teleconferencing has limited non-verbal cues coupled with milliseconds delay in observation by other participants that can subconsciously force our brain to restore the synchrony present in face-to-face contact. This overworking can lead to tiredness and discomfort from virtual teleconferencing tools, termed as ‘Zoom fatigue’. Recommendations to reduce Zoom fatigue include taking a rest in between brief lessons and turning off the camera when muted to reduce stimulus and mental fatigue. Netiquette, a blend of ‘internet etiquette’, refers to a code of good behaviour for both educators and learners (Table 1) that should be practised in an online environment (Lateef, 2020) to promote courteous communication between learners and educators for a pleasant learning experience. Evaluation of online education can be conducted during the session by performing formative and summative assessment; assessing quality and completion rate of learners’ assignment; analysing learners feedback from the post-session questionnaire as well as learners’ grade during module assessment and performance in the clinic.

Table 1. Netiquette for online education
Note: Adapted from “Computer-based simulation and online teaching netiquette in the time of COVID 19,” by F. Lateef, 2020, EC Emergency Medicine and Critical Care, 4(8), 84-91.
V. MOVING FORWARD
It may take years to return to pre-COVID-19 normalcy, where physical interaction and large gatherings were social norms. Moving forward, we can consider a hybrid or blended learning module alongside limited face-to-face sessions confined to essential skill-based training. However, the effectiveness of online learning compared to traditional modes of clinical teaching has not been elucidated. Dentistry is a practical vocation that requires developing surgical and psychomotor skills to perform specific tasks. Online learning addresses the delivery of didactics but translating theory into practice which involves hands-on skills, teamwork and communication are challenging in the virtual setting. Virtual and augmented reality programmes such as Spatial, coupled with simulation video demonstration, may be suitable for skill-based training in dental education in the virtual environment. Psychological support for faculty and learners and forming a digital technology community of practice among educators can help to improve resilience and coping mechanisms during this challenging period. With safe management measures in place to ensure the well-being of our faculty and learners, we can adapt and continue education activities while looking for innovative ways to deliver clinical teaching effectively in dentistry amidst this pandemic.
Notes on Contributors
Dr Lean Heong Foo is a Consultant Periodontist in the Department of Restorative Dentistry and Head to the Dental Surgery Assistant Certification Programme. FLH reviewed the literature, contributed to the conception, data acquisition, drafted and critically revised the manuscript.
Dr Marianne Meng Ann Ong is a Senior Consultant Periodontist & Director of Education in National Dental Centre Singapore. MO contributed to the conception, data acquisition and critically revised the manuscript. All authors gave their final approval and agree to be accountable for all aspects of the work.
Ethical Approval
This is a narrative review related to dental education continuity during the COVID-19 pandemic and no ethical approval is required.
Data availability
This paper is a narrative review with no data analysis.
Acknowledgement
The authors would like to thank Ms Safiyya Mohamed Ali for providing editorial support.
Funding
There is no funding involved in the preparation of the manuscript.
Declaration of Interest
The authors declare no conflict of interest.
References
Chang, T., Hong, G., Paganelli, C., Phantumvanit, P., Chang, W., Shieh, Y., & Hsu, M. (2021). Innovation of dental education during COVID-19 pandemic. Journal of Dental Sciences, 16(1), 15-20. https://doi.org/10.1016/j.jds.2020.07.011
Hong, G., Chang, T., Terry, A., Chuenjitwongsa, S., Park, Y., Tsoi, J. K., Kusdhany, M. F. L. S., Egusa, H., Yamada, S., Kwon, J., Seow, L., Garcia, M. C. A. G., Wong, M. L., Ayuchai, P., & Hsu, M. (2021). Guidelines for innovation in dental education during the coronavirus disease 2019 pandemic. Journal of Oral Science, 63(1), 107-110. https://doi.org/10.2334/josnusd.20-0399
Lateef, F. (2020). Computer-based simulation and online teaching netiquette in the time of COVID 19. EC Emergency Medicine and Critical Care, 4(8), 84-91.
Mayer, R. E. (2002). Multimedia learning. Psychology of Learning and Motivation, 41, 85-139.
Tay, J. R. H., Ng, E., Ong, M. M. A., Sim, C., Tan, K., & Seneviratne, C. J. (2020). A risk-based approach to the COVID-19 pandemic: The experience in National Dental Centre Singapore. Frontiers in Medicine, 7. https://doi.org/10.3389/fmed.2020.562728
*Foo Lean Heong
National Dental Centre Singapore
5, Second Hospital Avenue,
168938 Singapore
Email: foo.lean.heong@singhealth.com.sg
Submitted: 31 August 2020
Accepted: 8 February 2021
Published online: 5 October, TAPS 2021, 6(4), 118-130
https://doi.org/10.29060/TAPS.2021-6-4/OA2481
Isabella E. Supnet, Jose Alvin P. Mojica, Sharon D. Ignacio & Carl Froilan D. Leochico
Department of Rehabilitation Medicine, College of Medicine and Philippine General Hospital, University of the Philippines Manila, Philippines
Abstract
Introduction: In the Philippines, telerehabilitation has been at the forefront of integrating telemedicine into the medical curriculum. However, the course evaluation tool used for traditional classroom-based courses is not appropriate in evaluating the unique teaching-learning tool that is telerehabilitation. This study aimed to develop a questionnaire that will aid in addressing this gap.
Method: A mixed methods study was devised to gather information from medical students exposed to telerehabilitation from the College of Medicine, University of the Philippines Manila as well as the residents from the Department of Rehabilitation Medicine, Philippine General Hospital from October to November 2019. The investigators obtained informed consent from all participants as well as their demographics before undergoing interviews. Themes were identified to create questions under the previously identified constructs, along with items derived from other course evaluation tools and opinions gathered from experts in telerehabilitation.
Results: In total, 26 individuals participated in the study. Most of the respondents had experience or ownership of various communication technologies and were well-versed in communication strategies through these technologies. There were 52 questions formulated from the interviews and review of previous tools.
Conclusion: This study is the first step in providing more research in the student evaluation of telerehabilitation and telemedicine. To match the needs of changing times evaluation of new standards and methods should follow. More research must be done to standardise teaching evaluation tools to validate the data gathered, and allow courses, such as telerehabilitation, an opportunity to adapt and promote further learning.
Keywords: Assessment, Educational, Education, Medical, Telemedicine, Medical Informatics, Physical and Rehabilitation Medicine
Practice Highlights
- Telemedicine has been used as a tool to educate students on rehabilitation medicine.
- Almost all students at this time have had experience in the usage of information and communication technologies.
- Evaluation tools must be more specific to the method of instruction used.
- Clarity, congruence, and relevance are the most sought-after characteristics in telerehab courses.
- The recipient of the evaluation must account for the effect of the teacher or logistical concerns.
I. INTRODUCTION
A. Background
Telemedicine is defined as the use of advanced telecommunications technologies to exchange health information and provide health care services across geographic, temporal, social and cultural barriers (Myers, 2003). It has been widely used in the treatment and care of patients as we go through the COVID-19 pandemic and has also been vital in improving medical education in the age of online classes and social distancing. Through telemedicine, students are exposed to a variety of specialties, and gain experience in their observation of the management of diseases, such as in the case of telesurgery, or hone their skills in communication and counselling, such as through telerehabilitation (Jumreornvong et al., 2020).
Now more than ever, due to the capacity of students to interact and adapt with digital infrastructure (Pathipati et al., 2016), integration of telemedicine into the medical curriculum is increasingly important and evaluations of telemedicine curricula are necessary to ensure quality and to detect areas for growth and improvement. Previous studies have used general evaluation forms to evaluate their telemedicine programmes or created general surveys from their course objectives, which have yielded some valuable insights (Brockes et al., 2017; Bulik & Shokar, 2010). However, due to the nature of instruction of telemedicine, specialised and validated tools are necessary to provide a comprehensive assessment.
In the Philippines, telerehabilitation has been at the forefront of integrating telemedicine into the curriculum, particularly in the University of the Philippines. Because it has been four years since the start of the initiative, and one year since its implementation, it is important to evaluate the previous courses in order to improve them for the next generation.
Through this research, a preliminary evaluation questionnaire for telerehabilitation as a teaching-learning tool was developed. From this questionnaire, perceptions of students regarding telerehabilitation courses will be more efficiently gathered and evaluated, which will serve to further improve the telerehabilitation curriculum and possibly bring forth interventions to improve medical education in general.
B. Literature Review
1) Teaching programmes in telemedicine: In the process of conducting telemedical evaluations in order to aid patients, clinical training may also be received. Telemedicine has had good acceptance in training institutions abroad, with Neurology trainees agreeing that it should be part of their curriculum and supporting a formalised telemedicine rotation within their residency. Dermatology programmes in particular observed that telemedicine supported rather than detracted from the core competencies required from them (Lee & Nambudiri, 2019). No significant differences were seen between clinical outcomes of patients who underwent surgery through telementoring versus the traditional method, and case supervision using e-mails and voice-over applications afforded similar psychiatry education as compared to rotations in mental health clinics (O′Shea et al., 2015).
The methods through which telemedicine education is given also vary considerably per institution (Waseh & Dicker, 2019). Some schools have telemedicine included primarily as didactic sessions. Others allow their students to take part in patient encounters and interprofessional training. Some institutions also allow scholarly projects to be done in telemedicine.
Because telemedicine in medical education has yet to be explored formally, no evaluation tools have been developed to assess its application. Other institutions used generalised forms and made their own questionnaires (Brockes et al., 2017; Bulik & Shokar, 2010). Literature review for formally developed evaluation materials showed the presence of a Telehealth Usability Questionnaire, with items and domains encompassing many telehealth assessment tools (Parmanto et al., 2016). It was made for use with various types of telehealth systems, including computer-based systems, videoconferencing programmes, and adaptable for progressive innovations, particularly for mobile telemedicine applications. However, this was primarily utilised as an assessment tool between clinicians and patients and does not assess instruction on the usage of the programme or the organisation of the implementation.
2) Teaching programmes in telerehabilitation: In 2015, the Department of Rehabilitation Medicine, College of Medicine and Philippine General Hospital, University of the Philippines Manila (PGH DRM) has initiated education on this aspect of telemedicine, with telerehabilitation used as a teaching-learning tool for medical students in full implementation in the 2018 curriculum. The programme has expanded from its origins since then; from students engaging in telerehabilitation to actual telerehabilitation consultations and teletherapy services with the rural health unit of Alfonso, Cavite, as part of the University of the Philippines Community Health and Development Programme (UP CHDP).
Telerehabilitation as a teaching-learning tool was formally included as part of the curriculum for rehabilitation medicine in 2018 (Philippine General Hospital Department of Rehabilitation Medicine, 2018). The students start their engagement during their third year of medical school (known as Learning Unit 5), their first year of clinical exposure, with the concepts and theories behind telerehabilitation, and do observations of an actual telerehabilitation session. A year later, during Learning Unit 6, they then get to do a simulated telerehabilitation encounter, with guidance and techniques on how to present a rehabilitation case through telemedicine. During their final year of medical education (Learning Unit 7), the student is then evaluated on the presentation, evaluation and management given during an actual patient encounter. All students from the UP College of Medicine receive two sessions of telerehabilitation instruction per year. On the other hand, Post-Graduate Interns (PGIs), who are students who have received their first four years of medical education in other medical schools and have chosen to spend their last year of medical school in the Philippine General Hospital, receive only one compressed session. Overall, the participants reported the experience to be excellent, and should be explored further (Leochico & Mojica, 2017).
Telerehabilitation was also included in January 2019 as a formal service for training residents in the Department of Rehabilitation Medicine, featuring the same concepts in a more compressed manner, and highlighting the hybridisation of standard rehabilitation practice with telemedicine.
The initiative is currently being evaluated by the students in part through the Course Evaluation by Students (CEBS) given by the University of the Philippines College of Medicine (UPCM) (University of the Philippines Manila College of Medicine, 2005), and through a Devised Telerehabilitation Feedback Form for Students (Philippine General Hospital Department of Rehabilitation Medicine, n.d.), which does not distinguish usability attributes of the telerehabilitation system from the telerehabilitation curriculum itself.
3) The usage of student evaluations: Student evaluation forms are a commonly used tool in determining teacher and course effectiveness in many areas of higher education. These evaluations commonly serve three purposes: to improve teaching quality, to support faculty decisions, and to provide evidence for institutional accountability. Many evaluation measures have been constructed and performed with students as the main and sometimes sole indicator of education quality; however, the implementation, reliability and validity of these methods and instruments have been a source of concern within academic circles (Soto-Estrada et al., 2018). Due to this, student evaluation remains a field of active study.
Although helpful, some caution must be undertaken in interpreting results of student evaluations. A recent meta-analysis by Uttl et al. (2017) argues that studies looking into student evaluations of teaching (SETs) were scant in terms of data to support the equivalence of high student evaluation ratings to student performance, and positive correlations between the two were primarily due to small study size effects. However, it is unfair to assume that SETs have no value whatsoever. Responses to the meta-analysis have been published as well, and aside from critiquing the method Uttl used to form his study, they support the view that, while it is poor practice to use student ratings of instruction alone in evaluating teaching, it remains to be necessary (Ryalls et al., n.d.).
C. Objectives
1) General objective:
- To develop a questionnaire that will evaluate telerehabilitation as a teaching-learning tool for medical students.
2) Specific objectives:
- To determine themes regarding the evaluation of telerehabilitation as a teaching-learning tool from residents of the PGH Department of Rehabilitation Medicine, as well from the medical students who have undergone the telemedicine courses.
- To formulate questionnaire items for the telerehabilitation course evaluation tool.
II. METHODS
A mixed methods study was devised to gather information from medical students exposed to telerehabilitation from the Philippine General Hospital and the College of Medicine, University of the Philippines Manila (with exposures corresponding to Learning Units 5, 6, and 7) as well as the residents from the PGH DRM from October to November 2019 (Figure 1). All participants were greater than 18 years old.

Figure 1. Flowchart of study methodology
Individuals with no telerehabilitation programme exposure were excluded from the study, and participants were given the option to withdraw their participation at any time. Convenience sampling was employed, and the duration of involvement of each participant with the study was limited to one day.
The students and residents were personally approached at the Department of Rehabilitation Medicine by the principal investigator to inform them of the ongoing study. The rationale of the study and the process the prospective participant will undergo were also explained, as well as any benefits of the research, such as the capacity of the participants to be involved in the improvement of telerehabilitation programmes. It was also explained that refusal to participate will not affect their relationship with the department, the Philippine General Hospital, or the College of Medicine. Informed consent forms were then obtained from each individual prior to their participation by the principal investigator.
All participants of the focus group discussions were also requested to accomplish a Data Collection Form asking for their age, sex and identified subgroup of exposure to the telerehabilitation programme. This form included scales rating the individual’s exposure to information and communication technologies and social media, and their prior experience with telemedicine/telehealth. Notes and voice recordings were taken of the group discussions and key informant interview to facilitate transcription and analysis.
An interview guide was constructed through the guidance of the expert faculty undertaking the study, keeping in mind Tyler’s model of curriculum development and Kirkpatrick’s Four Level Evaluation Model. This initial list of questions was intended to be able to differentiate opinions on telemedicine courses versus regular courses and be open-ended to facilitate discussion. The cognitive interview was then performed with three individuals representing telerehabilitation programme exposure from Learning Units 5, 6, and 7. The initial interview guide was presented to them, and edits were made to improve clarity of the questions.
All discussions and interviews were held at the PGH DRM offices and outpatient department. Groups of students consisting of seven to eight participants each were scheduled for their interviews during their available time. Before the start of the group discussions, the rationale and the procedure of the discussion was again explained to the students, and time was allotted for them to prepare and ask any questions. Informed consent forms were then distributed, and data collection forms given to the students, which they were given ample time to fill out. The revised interview guide was then asked sequentially, with additional questions added to further probe for the participants’ thoughts and opinions. After the group discussion, important points were summarised and clarified with the participants. The one-on-one key informant interviews were also performed in a similar manner.
All discussions were then analysed using Microsoft Excel for repeating themes. These were then presented to the expert faculty of the department – those who are well versed in both medical education and evaluation, as well as telerehabilitation – for their opinion and review. After this, the final set of questions was collated and formatted.
Facilitation of the focus group discussions and key informant interviews, data collection, and data analysis was performed by the principal investigator, Dr. Supnet. As a graduating resident at the time of data collection, she is deemed a neutral party to the students and other residents. Processing of the interview recordings and transcription was done through the aid of the research assistant.
III. RESULTS
Data gathered for this research was uploaded to an online repository for archiving and validation purposes. It may be accessed through the following Digital Object Identifier (DOI): https://doi.org/10.6084/m9.figshare.13040786.v1 (Supnet et al., 2020).
A. Participant Demographics
In total, 32 individuals were part of the study, with representatives from all Learning Units (LUs) including the Post-Graduate Interns (PGIs) of the Philippine General Hospital, as well as three residents from the Department of Rehabilitation Medicine. For the individuals who took part in the focus group discussions, the average age was 25.31 (2.28) years, ranging from 21 to 31 years old. Furthermore, most of the participants were female. Most respondents came from the post-graduate interns and the LU5 students, with 7 participants each (Table 1).

Table 1. Participant Demographics
All of the focus group respondents owned a computer and a cell phone, while none owned a virtual reality system. Most of the respondents also had experience using telephones, cell phones, computers, tablets, and video gaming systems, and were well-versed in messaging systems and social media. When it comes to telemedicine, however, exposure was drastically lower – less than half of the participants had heard of telemedicine prior to the telerehabilitation programme in PGH, while only two participants had used telemedicine applications before. Further, only two of the participants had heard of telerehabilitation before the Department of Rehabilitation Medicine’s curriculum and were able to gain this experience through electives and courses abroad (Table 2).


Table 2. Exposure of participants to Information and Communication Technologies (ICT) and Telemedicine or Telerehabilitation.
B. Focus Group Discussions and Key Informant Interview
A cognitive interview was performed with three students, one from each of the Learning Units with clinical exposure, to represent various stages of telerehabilitation curriculum. Aside from participating in the analysis of each question, they also improved on the clarity of the wording: for example, “Does the course being focused on telemedicine…” in their original iteration, the questions have been amended to start with “In a telemedicine course…” to preface the rest of the question. The participants of the cognitive interview also gave comments and suggestions to the author regarding follow up questions that may be used to further probe into the answers of the respondents. This final interview guide may be found in Appendix A.
Once the interview guide had been finalised, focus group discussions were then performed with students from Learning Units 5, 6, and 7, in three groups consisting of seven to eight participants. The same interview guide was also used for the key informant interviews of the residents. After the sessions were completed, the notes and recordings from the sessions were reviewed and transcribed. Identification of repeating themes and ideas was then performed (Appendix B), and eventually these were transformed into 52 questions that were presented to the three expert faculty members of the Department of Rehabilitation Medicine who gave their opinions on the subject matter. Questions were made through expanding the statements of the minor categories and adding nuances for clarification: distinguishing between the timeliness of giving the results of the evaluation and the conduct of feedback sessions, for example. After applying the suggestions from two rounds of discussion primarily relating to the wording and understandability of the questions, all members of the expert faculty group signified their agreement regarding the content of the final evaluation tool. This final evaluation tool may be found formatted into Likert scales in Appendix C.
IV. DISCUSSION
In the focus group discussions, the researchers found that many aspects of a good non-telemedicine course were also important to the respondents to find in telemedicine courses. Differences were found, however, in the increased emphasis for sustainability of the method, a greater focus on skills and communication training, the maximisation of multimedia and other methods to impart learning, and the usage of appropriate evaluation tools in telemedicine education.
On assessing objectives, the students and residents found it very helpful to follow the SMART Framework (Doran, 1981) to ensure clarity of the goal in itself as well as the method expected to reach it. This desire for clarity may also be seen in the other statements in the same section, in terms of objectives being made known to the students as well as communicated in an understandable manner. Congruence of the telerehabilitation curriculum, in terms of how it plays with the medical curriculum in general as well as international standards, was also important for the students.
Clarity and congruence were also major themes for the rest of the domains, with statements for ease of understanding and congruence with objectives in the domain of course content, consistency across batches and defined rules, expectations, and schedules in the domain of organisation. The respondents also supported clear and standardised methods of evaluation in line with the objectives of the course, as well as the delivery of good feedback.
In the domain of course content, the students also valued applicability of the course in terms of the common diseases they would see as well as its value to the community setting. Regarding organisation, the responders valued ease of communication with the organisers, breaking this theme down further as being composed of approachability and availability. Meanwhile, in results and feedback, timeliness was seen as an important concern.
For the evaluation of the telerehabilitation curriculum as a whole, the students still valued congruence in terms of adherence to objectives. However, this general theme has been eclipsed by the desire to learn and to find relevance and utility in the learning they had received. This serves as stark contrast to a common misconception about student evaluations, which is that ratings are influenced by how “easy” the course is; that is, teachers who give out higher grades get higher ratings. In a study involving eight academic disciplines and 50,000 classes, it has been found that the grade students expected to get was only weakly related to student ratings of instruction (Centra, 2003). The assumption therefore that teachers should succumb to student standards to get better evaluations is the inverse of the truth, and educators would be better served by challenging students, stimulating their interests, and making appropriate changes to their course or method of instruction based on feedback (Ryalls et al., n.d.).
The premise of evaluation is to gather data to determine changes that improve methods to deliver education and increase student learning. The teacher is undoubtedly part of this process, as are technical aspects for a telemedicine course. However, it is important to distinguish the effects of these from the course itself on the learning experience of the student in order to find where exactly to improve. Recent efforts have also been done in order to shift phrasing of evaluation questions to focus more on the student and the course rather than the teacher, as the latter promotes the view of the student being a passive learner, expected to accept the expert-teacher’s methods, instead of a responsible, proactive individual (Louie et al., 1996). The final questionnaire has been phrased as such to avoid the complications of a teacher-based approach as well as distinguish logistical concerns, with one teacher-based question included in the course content (i.e., “The lectures and facilitation of the faculty members enhanced my learning.”) and two logistical questions, pertaining to concerns on internet and hardware as well as concerns on the telemedicine platform, added to course organisation instead (i.e., “Technical concerns (hardware and internet issues) are well addressed” and “Usage of telemedicine applications is simple and intuitive.”). These are designed as screening markers instead of the focus of the entire evaluation and are intended to work with other evaluation forms of the College of Medicine of the University of the Philippines, which focus on teacher instruction, as well as evaluation forms of the PGH Department of Rehabilitation Medicine, which focus on service delivery.
As much as the authors would have liked to have had more participants and an equal set of them in each group during the focused discussions, problems in student exposure as well as scheduling changes prevented them from attending the sessions. The abstract nature of the questions also made answering them less intuitive to the participants, needing guidance and prodding even after multiple revisions during the cognitive interview. Some participants have also commented that, due to being primed that the study would be more related to telemedicine, they found it difficult to separate their responses between a regular medicine course and a telemedicine one. All of this may be taken into consideration for others who would wish to expand on the processes and findings of this research.
This study is only the first step in creating an evaluation tool for telemedicine courses – validity and reliability studies should follow to further refine the questions made and strengthen their research value. A pilot test should then follow, to further gather feedback on the evaluation tool and test its capabilities on a larger scale.
V. CONCLUSION
Medical education, as with medicine, is an ever-advancing field. To match the needs of changing times, we expect that standards set and methods applied in teaching will change too. If this is the case, evaluation of these standards and methods should follow. This study is the first step in providing more research in the student evaluation of telerehabilitation in particular and telemedicine in general, especially since there is an expected increase in demand for quality education in these subjects in the future. More research must be done in order to standardise teaching evaluation tools in this aspect of medicine to validate the data gathered, and allow courses, such as telerehabilitation, an opportunity to adapt.
Notes on Contributors
Isabella Supnet, MD served as the primary investigator of this study, and reviewed the literature, designed the protocol, performed data collection, analysed the transcripts, and wrote the manuscript.
Jose Alvin Mojica, MD, MHPEd directed the team on important points in the literature review as well as the design of the protocol; he also gave feedback on the final manuscript.
Sharon Ignacio, MD advised the design of the study and gave critical feedback on the final paper.
Carl Froilan Leochico, MD assisted in the design of the protocol as well as the writing of the manuscript.
All authors have read and approved the final manuscript.
Ethical Approval
This research was deemed exempt from ethical approval by the University of the Philippines Manila Research Ethics Board (UPMREB). UPMREB Code: 2019-427-01, 18-Sep-2019).
Data Availability
In line with the aim of making research available to the scientific community for data replication and scientific progress, the dataset of this research may be found for free through the Figshare website: https://doi.org/10.6084/m9.figshare.13040786.v1
Acknowledgement
The authors wish to thank the students who served as participants in the study. With their time and effort, knowledge about telemedicine education has advanced considerably.
Funding
The study did not receive any external funding.
Declaration of Interest
The authors have no conflict of interest to declare.
References
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*Isabella E. Supnet
Department of Rehabilitation Medicine,
Philippine General Hospital,
Taft Avenue, Manila
E-mail: isabella.supnet@gmail.com
Submitted: 18 January 2021
Accepted: 19 May 2021
Published online: 5 October, TAPS 2021, 6(4), 107-117
https://doi.org/10.29060/TAPS.2021-6-4/OA2470
Sarah Brown & Justin L C Bilszta
Department of Medical Education, Melbourne Medical School, University of Melbourne, Australia
Abstract
Introduction: Use of complementary and alternative medicine (CAM) is popular in the general population and medical practitioners may not be fully equipped in their knowledge of CAM to advise patients appropriately. The aim of this paper was to perform a scoping review of current literature describing undergraduate medical student use, attitudes, and knowledge of CAM as a means of better understanding the educational needs of these students.
Methods: A systematic search of Medline, PubMed and the Education Resources Information Center (ERIC) databases with keywords related to “complementary and alternative medicine” and “undergraduate medical students” for relevant articles published until August 2020.
Results: Of 131 papers identified, 38 underwent full review. It was found 13-80% of medical students use CAM, and overall have a positive attitude towards CAM therapies. Female medical students and those with religiosity had more positive attitudes towards CAM than their male colleagues and those without a religion. Knowledge of CAM is lacking with approximately only half of students feeling they were knowledgeable about CAM therapies. Popular information resources are the Internet and social media, but students expressed they want more teaching of CAM in the undergraduate medical curriculum.
Conclusion: Evidence suggests high usage of CAM amongst undergraduate medical students, and positive attitudes towards CAM therapies; however, knowledge of CAM is poor, and students want more CAM teaching to upskill them in counselling patients interested in CAM therapies. Further areas for research include a better understanding of resources medical students use for their knowledge and how gender and religiosity influence attitudes towards CAM.
Keywords: Undergraduate Medical Student, Complementary and Alternative Medicine, CAM, Attitude, Knowledge, Use
Practice Highlights
- Medical student’s personal use of CAM is significant, with the most popular therapies being massage, meditation and herbal medicine.
- Medical students have a positive attitude towards CAM but potential differences between attitudes of preclinical and clinical student populations exist.
- Medical student’s knowledge of CAM is lacking, and this impacts their ability to advise patients appropriately.
- Medical students want more CAM teaching integrated into their UGME curriculum, and believe conventional western medicine could benefit from CAM methods and ideas.
- Better integration of the principles of EBM rather than teaching related to specific CAM therapies can provide medical students with the skills to critique claims of CAM efficacy.
I. INTRODUCTION
Complementary and alternative medicine (CAM) encompasses a range of health practices including, but not limited to, acupuncture, naturopathy, chiropractic traditional Chinese medicine (TCM), herbal, vitamin & homeopathic therapies (Zollman & Vickers, 1999). Complementary refers to the practice of something alongside conventional Western medicine, whilst alternative refers to the practice of something instead of conventional Western medicine (Zollman & Vickers, 1999).
In comparison to conventional Western medicine, the eclectic range of CAM is often cited as having a poor-quality evidence-base regarding its efficacy (Australian Medical Association, 2018), yet it remains popular with the general public (Frass et al., 2012). With surveys suggesting 10–76% of the public has used CAM (Ernst, 2000; Harris et al., 2012) the demand for CAM is evident. How knowledgeable medical practitioners are, and their attitudes towards CAM, can influence the advice they might provide to patients who seek information about CAM therapies or want to use CAM in lieu of conventional Western medicine. Janamian et al. (2011) have reported general practitioners feel they do not have the education to appropriately advise patients on CAM (Janamian et al., 2011). This may deter patients from seeking guidance from their healthcare provider and result in a breakdown of communication and lack of congruence over health goals (Xue et al., 2007).
Medical students’ insights into their prevailing attitudes and knowledge of CAM can help determine if CAM teaching within undergraduate medical education (UGME) should be expanded to better meet the needs of growing public demand. The last significant review of medical students’ attitudes and knowledge of CAM was published in 2016 (Joyce et al., 2016), and reported overall medical students believed they lacked knowledge of CAM but were generally positive towards CAM education and thought CAM teaching should be incorporated into UGME. What this review did not explore was the rates of CAM use by medical students, and whether this influenced attitudes towards CAM. Importantly, since the publication of Joyce et al’s review, not only have there been additional studies exploring medical students’ use, attitudes and knowledge of CAM, but the increasing use of the Internet and social media as a source of information means it is timely to re-evaluate the findings of this earlier study and determine whether the results presented remain relevant.
We conducted this scoping review of primary studies to evaluate undergraduate medical student use, attitudes, and knowledge of CAM as a means of better understanding the educational needs of these students. The specific research questions were: 1) what is the usage and knowledge of CAM among medical students?; 2) what are medical students’ attitudes towards CAM?; 3) what factors influence medical students’ attitudes towards CAM, and where do they seek information about CAM? and; 4) what are medical students’ views on the current teaching they receive in UGME about CAM?
II. METHODS
This study adopted the “Preferred Reporting Items for Systematic Reviews and Meta-Analysis Extension for Scoping Reviews” (PRISMA-ScR) protocol (Tricco et al., 2018).
A. Search Strategy
Electronic databases Medline (Ovid), PubMed and ERIC were searched for full text articles describing undergraduate medical students use, attitudes, and knowledge of CAM (see Appendix 1). Additional papers were found through a hand search of reference lists of articles identified through the database search. There was no limit on publication date.
B. Selection of Sources
Papers were included if published in English and reported on undergraduate medical students. Papers were excluded if they were not published in English; opinion pieces or review articles; reported on non-undergraduate medical students or; reported on osteopathic medical students. This group was excluded due to the potential bias these students may have due to their medical training including specific CAM teaching.
C. Key Words and Boolean Operators
The search strategy (see Appendix 1) included Boolean operators (AND, NOT, OR), Medical Subject Headings (MeSH) and specific key words.
D. Data Extraction and Charting
Data extraction was performed using a predetermined checklist, and included
- Article details: first author and publication year
- Research aim: purpose of the study
- Method: methods of data collection
- Sample size: number of students invited to participate and the number who responded
- Student CAM use: number of students using CAM, including use of specific therapies and timeframe of use
- Student attitudes/perceptions to CAM: student attitudes to CAM including desire to undertake further education about CAM, beliefs about CAM efficacy, role of CAM in conventional Western medicine and, sources of CAM information
- Influencing factors: factors reported to influence student’s attitudes/perceptions to CAM
- Limitations: identified study limitations
E. Synthesis of Results
Included studies were described by author, publication year, and characteristics described above. Thematic analysis was conducted to identify commonality between included studies. No inferences were made about students’ use, attitudes, or knowledge of CAM if this was not explicitly stated.
Literature searching, title and abstract screening, full text review & data extraction, and charting were undertaken by the 1st author (SB). Where there was uncertainty regarding the aforementioned, these articles were reviewed independently by the 2nd author (JB) and discussed until consensus was reached. The 2nd author also independently reviewed the data extraction and charting results once this process was completed by the 1st author.
III. RESULTS
From the initial search strategy, 131 articles were obtained for screening based on title and abstract. Following screening, 17 duplicate citations were excluded, leaving 114 papers. Abstract and title screening excluded papers focused on pharmacy or nursing students, and those that did not centre on the research questions. Following this, 58 articles underwent full review. Of these, 21 were excluded as they were not in English, did not provide enough detail regarding medical students specifically or focused heavily on medical curricula. The total number of articles included is 38 (see Figure 1); a full version of the outcome harvesting data can be found at https://doi.org/10.6084/m9.figshare.14471250 (Brown & Bilszta, 2021).

Figure 1: PRISMA Diagram
A. CAM usage
Twenty-two studies assessed CAM usage in medical students (Baugniet et al., 2000; Chaterji et al., 2007; Chez et al., 2001; Ditte et al., 2011; Donald et al., 2010; Flaherty et al., 2015; Frye et al., 2006; Greenfield et al., 2000, 2002; Hegde et al., 2018; Hopper & Cohen, 1998; James et al., 2016; Lie & Boker, 2004, 2006; Nicolao et al., 2010; Oberbaum et al., 2003; Rees et al., 2009; Sadeghi et al., 2016; Samara et al., 2019; Shani-Gershoni et al., 2008; Wong et al., 2006; Yildirim et al., 2010). Rates of usage ranged from 13% to 80% (Chez et al., 2001; Wong et al., 2006). The most common CAM therapy used by medical students was difficult to evaluate due to inconsistent methods of collecting this information with studies either asking students to nominate usage from a predefined list of therapies (Baugniet et al., 2000; Chaterji et al., 2007; Frye et al., 2006; Hegde et al., 2018; James et al., 2016; Lie & Boker, 2004, 2006; Nicolao et al., 2010; Sadeghi et al., 2016; Samara et al., 2019; Shani-Gershoni et al., 2008; Wong et al., 2006; Yildirim et al., 2010); self-report the therapies they had engaged with (Donald et al., 2010; Greenfield et al., 2000, 2002) or; indicating CAM usage without nominating a specific therapy (Chez et al., 2001; Ditte et al., 2011; Flaherty et al., 2015; Hopper & Cohen, 1998; Oberbaum et al., 2003; Rees et al., 2009). The challenge in evaluated CAM usage is highlighted by two separate studies (Lie & Boker, 2004, 2006) which reported a range of practices to be popular including massage, meditation and yoga compared to vitamins, meditation and spirituality, respectively (Lie & Boker, 2004, 2006).
B. CAM perception/attitudes
Overall, the general attitude of medical students towards CAM is positive (Ahmed et al., 2017; Akan et al., 2012; Chaterji et al., 2007; Chez et al., 2001; Ditte et al., 2011; Flaherty et al., 2015; Frye et al., 2006; Furnham & McGill, 2003; Godin et al., 2007; Greenfield et al., 2002, 2006; Hegde et al., 2018; Hopper & Cohen, 1998; James et al., 2016; Lie & Boker, 2004, 2006; Loh et al., 2013; Nicolao et al., 2010; Oberbaum et al., 2003; Perkin et al., 1994; Rees et al., 2009; Sadeghi et al., 2016; Samara et al., 2019; Templeman et al., 2015; Torkelson et al., 2006; Wong et al., 2006; Xie et al., 2020; Yeo et al., 2005) with positive attitudes ranging from 49% to 60% (Ditte et al., 2011; Perkin et al., 1994; Sadeghi et al., 2016). Different methods were used to collect this data including validated measures (for example: (Flaherty et al., 2015; Frye et al., 2006; Rees et al., 2009)), rating scales with various stages of validation (for example: (Ahmed et al., 2017; Oberbaum et al., 2003; Sadeghi et al., 2016; Samara et al., 2019)) or qualitative interviews (for example: (Templeman et al., 2015)).
Differences in the attitude of preclinical and clinical cohorts varied between studies. Akan et al., Furnham & McGill and Syverstad et al. reported preclinical students had a more positive attitude compared to clinical students (Akan et al., 2012; Furnham & McGill, 2003; Syverstad et al., 1999), however others found clinical students were more positive, perhaps due to them receiving more CAM education (Chaterji et al., 2007; Xie et al., 2020). However, multiple studies found no difference between preclinical and clinical cohorts (Ditte et al., 2011; Flaherty et al., 2015; Hopper & Cohen, 1998; Rees et al., 2009). Additionally, all studies bar one (Hübner et al., 2012) asked students to consider attitudes and perceptions in relation to ‘…their clinical practice…’ rather than associated with a specific clinical context or medical condition.
Attitudes towards specific CAM therapies demonstrated acupuncture received consistent positive perceptions ranging from 77% to above 90% (Loh et al., 2013; Torkelson et al., 2006; Yeo et al., 2005). Other therapies with consistent positive perceptions include massage and meditation, with more than 70% of medical students feeling positively towards these practices (Furnham & McGill, 2003; Loh et al., 2013; Torkelson et al., 2006). Conversely, Greenfield et al. and Loh et al. both found homeopathy had the most negative perception from students (Greenfield et al., 2006; Loh et al., 2013). Interestingly, studies indicate ambivalence towards chiropractic practice, with some reporting positive attitudes whilst others reported negative attitudes (Greenfield et al., 2006; Loh et al., 2013). When asked about the integration of CAM with conventional Western medicine, there was overwhelming belief from medical students that benefits may come from applying these practices together. Ahmed et al. and Chez et al. reported a large percentage of their cohorts believed conventional Western medicine could benefit from CAM methods and ideas (67% and 89%, respectively) (Ahmed et al., 2017; Chez et al., 2001). Similar findings have been reported by others, with the percentage of students wanting the integration of CAM and conventional Western medicine ranging from 71% to 92% (Chez et al., 2001; Hopper & Cohen, 1998; Lie & Boker, 2004; Loh et al., 2013; Nicolao et al., 2010; Torkelson et al., 2006; Xie et al., 2020; Yeo et al., 2005).
An important question to consider when evaluating medical student knowledge and attitudes towards CAM is whether they believe CAM works. This question arose frequently in the reviewed literature, with investigators trying to determine if there was congruence between having a positive perception of CAM and belief in its efficacy. When asked if participants found the results of CAM were mainly due to the placebo effect, there were mixed findings with 39-59% of medical students agreeing the CAM efficacy was mainly due to the placebo effect (Baugniet et al., 2000; Nicolao et al., 2010; Yeo et al., 2005; Yildirim et al., 2010). Interestingly, recent studies by Xie et al. and Samara et al. reported only 10% and 35%, respectively, believed CAM efficacy was due to the placebo effect (Samara et al., 2019; Xie et al., 2020). Whether this is simply a cohort effect or a reflection that over time students may be becoming less sceptical of CAM, is unable to be confirmed.
Factors that influence attitudes towards CAM should be considered as they may alter how medical students perceive CAM therapies. The most frequent influence reported was gender, with female medical students overall tending to have a more positive attitude than male colleagues (Akan et al., 2012; Chaterji et al., 2007; Ditte et al., 2011; Donald et al., 2010; Flaherty et al., 2015; Frye et al., 2006; Furnham & McGill, 2003; Godin et al., 2007; Greenfield et al., 2002, 2006; Hübner et al., 2012; Oberbaum et al., 2003; Rees et al., 2009; Schmidt et al., 2005; Xie et al., 2020). Interestingly, Ditte et al. found male medical students feared the social stigma of using CAM more than female students (45% vs 36%) and Donald et al. reported male students were more likely to be more sceptical of CAM than female students (50% vs 44%) (Ditte et al., 2011; Donald et al., 2010).
Religion may also influence attitudes to CAM. Yeo et al. reported nearly two thirds of their cohort believed spiritual/religious beliefs influenced attitudes towards CAM (Yeo et al., 2005). Furnham & McGill reported similar findings as female students and students that rated themselves higher religiously, were more eager for CAM to be on the curriculum compared to males and those who were less religious (Furnham & McGill, 2003). In contrast, Loh et al. reported students with no religion tended to be less interested in CAM (Loh et al., 2013).
C. CAM knowledge
The included studies suggest approximately only half of medical students felt knowledgeable about CAM (Hopper & Cohen, 1998; James et al., 2016; Sadeghi et al., 2016; Shani-Gershoni et al., 2008) and the most common individual therapies students were subjectively knowledgeable in were massage (Baugniet et al., 2000; Chez et al., 2001; Frye et al., 2006; Furnham & McGill, 2003), acupuncture (Akan et al., 2012; Nicolao et al., 2010; Sadeghi et al., 2016; Yeo et al., 2005), chiropractic (Baugniet et al., 2000; Chez et al., 2001; Frye et al., 2006) and herbal medicine (Akan et al., 2012; Baugniet et al., 2000; Chez et al., 2001). It is clear, however, medical students still perceive significant gaps in their knowledge of CAM. Nicolao et al. reported although students indicated acupuncture and homeopathy as their most knowledgeable areas, this was only for a minority of the cohort (34% and 43%, respectively) and the majority of students felt their level of knowledge, and therefore ability to appropriately advise patients, was poor (Nicolao et al., 2010). In one Australian study, investigators found out of ten common CAM therapies (acupuncture, chiropractic, herbal medicine, homeopathy, hypnosis, massage, meditation, naturopathy, reflexology and spiritual healing) 56% of their cohort had no knowledge of any of these therapies (Hopper & Cohen, 1998).
The Internet appears to be a popular avenue for finding CAM information with Lie and Boker reporting 81% of their cohort used online resources as their main information source (Lie & Boker, 2004). Although the specific online resources used were not described, journals, books and health databases were used less frequently in comparison (41%, 38% and 28%, respectively) (Lie & Boker, 2004). A study of Chinese medical students with CAM teaching integrated into their UGME, found their cohort’s main source of information was from teachers, making up 91% with only 2% using the Internet (Xie et al., 2020). Samara et al. reported 73% of their cohort used social media as their main source of information (Samara et al., 2019).
It is clear medical students want more teaching about CAM in their UGME. Flaherty et al. reported just over two thirds of students across all year levels had a desire to study CAM, however, there was a positive correlation between those students who wanted more teaching and a positive attitude towards CAM (Flaherty et al., 2015). Similar findings were reported by Perkins et al. and Frye et al. with approximately 85% of clinical and preclinical students believing they should learn about CAM in UGME (Frye et al., 2006; Perkin et al., 1994). In terms of this would look like in the curriculum, Greenfield et al. reported 67% wanted to study the theory, with Greiner et al. and Yeo et al. finding 72% and 86%, respectively, wanted clinical exposure (Greenfield et al., 2006; Greiner et al., 2000; Yeo et al., 2005). In semi-structured qualitative interviews of Australian medical students, CAM education was considered important regardless of specialisation and CAM literacy was an ethical responsibility (Templeman et al., 2015).
IV. DISCUSSION
In this Discussion, we provide commentary on our findings, consider how these might be applied to the design of UGME curriculum, and suggest areas of further research.
In the current study, we found a significant number of medical students use CAM, however reported rates varied considerably, and our analysis suggests inconsistency in approaches used to assess CAM use may explain the observed differences. As highlighted, data collection was split between those studies that provided a predefined list of specific CAM therapies, with a limited number of response options, and the exact therapies between papers incongruent; those that allowed students to self-report usage and; those indicating CAM usage without nominating a specific therapy (see Table 1). Cultural differences may also explain usage variation; for example, the high use of yoga in Indian medical students (Hegde et al., 2018), TCM in Chinese medical students (Wong et al., 2006) and, traditional Iranian medicine in Iranian medical students (Sadeghi et al., 2016).

Table 1. Example of the differing methods used to collect student CAM usage data. Data collection of medical student CAM usage was split between those studies that provided a predefined list of specific CAM therapies; those that allowed students to self-report usage and; those indicating CAM usage without nominating a specific therapy. The above examples highlight the inconsistent approaches to collecting this information.
Overall, the general attitude of medical students towards CAM was positive, but differences were noted between preclinical and clinical students, and what exposure students had had to CAM teaching. There is evidence positive attitudes to CAM decline after the preclinical period (Akan et al., 2012; Furnham & McGill, 2003; Syverstad et al., 1999) and this might be due, in part, to the influence of clinical peers, medical school role models or a preference for students new to clinical learning utilizing recently acquired conventional clinical skills. Further work is required to fully elucidate how attitudes to CAM mature as students move from preclinical to clinical learning, are exposed to the application of conventional and CAM practices in different patient encounters and develop skills in the application of evidence-based medicine (EBM).
Two significant factors influencing attitudes to CAM were gender and religion, and these were also identified previously (Joyce et al., 2016).
Whilst medical students as a whole seem to have a positive attitude towards CAM, female students hold more positive attitudes than their male colleagues. There is evidence to suggest this difference is due to higher rates of scepticism around the CAM efficacy in male students (Donald et al., 2010) and fear of social stigma from using CAM (Ditte et al., 2011). There is a noted body of evidence demonstrating similar gender differences in general (Bishop & Lewith, 2010; Kristoffersen et al., 2014) and specific patient populations (Alwhaibi et al., 2019; Alwhaibi & Sambamoorthi, 2016; Barraco et al., 2005; Bell et al., 2006; Jawahar et al., 2012), so it is not surprising this is reflected in medical student cohorts; this is an area for further exploration.
Research within general and specific patient populations into the association between religiosity (the practices of organised religion and the outward expression of belief in a divine being) and spirituality (the personal and emotional expression that arises from searching for a divine being) and CAM utilisation has examined these as a single construct (Heller et al., 2020; McCurdy et al., 2003; Pedersen et al., 2013), or as separate entities (Ben-Arye et al., 2012; Ellison et al., 2012; Hsiao et al., 2008). An added challenge (Ellison et al., 2012; Hsiao et al., 2008) has been attempts to tease out use of religious/spiritual forms of CAM (eg self-prayer, group prayer, or healing rituals) from use of non-religious/nonspiritual forms (eg herbs, supplements, and mind–body techniques). As a result, it remains ambiguous whether religiosity and spiritually are associated with increased CAM utilisation. The results presented here and by others (Joyce et al., 2016) suggests within medical student cohorts an association might be present however the nature remains unclear. What needs to be explored is the intersection between conventional UGME, attitudes to CAM and student’s religious and spiritual beliefs.
Several studies reported most students did not feel knowledgeable about CAM and this impacted their ability to advise patients appropriately (Chaterji et al., 2007; Loh et al., 2013; Torkelson et al., 2006). When evaluating student’s knowledge of CAM, an important limitation is the ways in which knowledge was evaluated. Most studies used self-report, rather than objective, knowledge measures. The only study which attempted to use an objective measure reported the average knowledge of CAM was ‘poor’ (Samara et al., 2019). There is, however, a clear indication medical students want more CAM teaching integrated into UGME. This is relevant as there is evidence CAM users frequently neglect to disclose their usage to their treating health professional (Chao et al., 2008; Davis et al., 2012; Thomson et al., 2012). Foley et al. (2019) identified several factors influencing this including, importantly in this context, perceptions of health professional’s knowledge of CAM and lack of knowledge is considered a barrier to discussions of CAM use during clinical consultations (Foley et al., 2019).
Although medical students believe conventional Western medicine could benefit from CAM methods and ideas, an important caveat to this finding is it does not consider how they feel about specific CAM therapies. For example, would medical students think conventional Western medicine could benefit from integrating herbal medicine or homeopathy approaches, compared to osteopathy or acupuncture? Given the diversity of CAM, it is arguably unfeasible (Wetzel et al., 1998) to teach students about each individual therapy, so an EBM teaching model equipping students with skills needed to critically appraise evidence presents a potential solution, and several medical schools have designed curricular in this way (Bailey et al., 2015; Forjuoh et al., 2003; Hassed, 2004; Jeffries, 2001; Mahapatra et al., 2017; Owen & Lewith, 2001; Perlman & Stagnaro-Green, 2010). This addresses a thematically overwhelming and resource intensive area of medical education where learned knowledge and skills can be adapted for differing CAM therapies.
Only three studies (Lie & Boker, 2004; Samara et al., 2019; Xie et al., 2020) specifically explored how medical students use digital resources to supplement formal CAM teaching, so this is a clear direction for further research. It is important medical students have access to high quality evidence-based information and the skills to determine the validity of evidence presented on digital platforms. Whilst there is evidence to demonstrate resources such as blogs, social networking sites and online support groups are useful platforms for health education, social connection and experience sharing, they are at significant risk of misinformation and mischaracterisation of CAM (Delgado-López & Corrales-García, 2018; Molassiotis & Xu, 2004). Sharma et al. (2016) have underscored the challenges in developing approaches for identifying the reliability of CAM-related information on the Internet, which may not be supported by a reliable evidence-base (Sharma et al., 2016). This means medical students require skills to critique claims related to CAM efficacy for their own education needs, but also so they can appropriately counsel patients. As advocated, an EBM teaching model would provide students with the skills to critique claims of CAM efficacy as well as empower patients to make informed decisions relevant to their health needs.
V. LIMITATIONS OF THE STUDY
As we did not conduct a systematic review of the literature, we are unable to draw any conclusions about the quality of the included studies. We excluded non-English studies, and this potentially creates a gap in the literature and may have altered the findings as CAM use, attitudes and knowledge may be different in non-English speaking countries (for example, the high use of acupuncture or Traditional Chinese medicine in Asian countries). The lack of consistency in data related to medical student use, attitudes and knowledge of CAM therapies is reflected in its heterogeneity. This makes generalisations related to ‘medical students’, even within the same medical school or UGME curriculum, difficult. Despite this significant limitation, the diversity of reported outcomes reflects important contextual differences in medical programs, and medical student cohorts, across the globe.
VI. CONCLUSION
Overall, medical students have a positive attitude towards CAM, with significant influencing factors being gender and religion, and potential differences between preclinical and clinical cohorts. The included literature indicates medical students’ personal use of CAM is significant, with therapies such as massage, meditation and herbal medicine being more popular than others. It is clear medical students’ CAM knowledge is lacking and integration of the principles of EBM may be beneficial in addressing this, ultimately leading to better educated doctors who have better relationships with their patients.
Notes on Contributors
JB: conceptualised the review; JB, SB: designed the search strategy; SB: conducted the search and screened the literature; JB, SB: reviewed the included studies; SB: analysed the data; JB: drafted the manuscript; JB, SB: critically revised the manuscript. All authors had full access to all study data, read and approved the final version of the manuscript.
Ethical Approval
As all the data were retrieved from public databases, this study did not require institutional review board approval.
Data Availability
The data that support the findings of this study are openly available in Figshare repository, https://doi.org/10.6084/m9.figshare.14471250. The data extraction sheet used during the current study is available from the corresponding author on request. All data is based on published studies.
Funding
This research received no specific grant from any funding agency in the public, commercial or not-for-profit sectors.
Declaration of Interest
None of the listed authors have financial and personal relationships with organisations or people that could inappropriately influence their work.
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*Justin Bilszta
Department of Medical Education,
Melbourne Medical School,
University of Melbourne, Australia
Parkville, Australia 3052
Tel: +61 3 8344 7826
Fax: +6567775702
Email: jbilszta@unimelb.edu.au
Submitted: 6 November 2020
Accepted: 27 January 2021
Published online: 5 October, TAPS 2021, 6(4), 92-106
https://doi.org/10.29060/TAPS.2021-6-4/OA2459
Ardi Findyartini1,2, Natalia Widiasih Raharjanti3, Nadia Greviana1,2, Gregorius Ben Prajogi4 & Daniar Setyorini2
1Department of Medical Education, Faculty of Medicine Universitas Indonesia, Indonesia; 2Medical Education Center, Indonesian Medical Education and Research Institute (IMERI), Faculty of Medicine, Universitas Indonesia, Indonesia; 3Department of Psychiatry, Faculty of Medicine, Universitas Indonesia, Indonesia; 4Department of Oncology Radiation, Faculty of Medicine, Universitas Indonesia, Indonesia
Abstract
Introduction: E-portfolio may facilitate the entrustment process from supervisors to residents in postgraduate medical education. The present study was aimed at identifying necessary features of an e-portfolio application and to conduct pilot study in a teaching hospital.
Methods: Six programs participated. Eight interviews with education directors and six focus group discussions with residents and supervisors were completed for the needs analysis stage. The application was developed based on the thematic analysis of the needs analysis stage. The mobile-app e-portfolio pilot was conducted for four weeks and a modified version of the System Usability Scale (SUS) was distributed to participants following the pilot program.
Results: Key features of the e-portfolio were identified. A total of 45 supervisors and 66 residents participated in the pilot study. The residents utilised the application according to the clinical activities and supervision level, and the information was fed to the supervisors as per the application design. Challenges during the pilot study in terms of feedback provision and residents’ workload which influence the e-portfolio use for entrustment decisions are discussed.
Conclusion: Current e-portfolio features were created for supervision and are potential to facilitate the entrustment process in Entrustable Professional Activities (EPA) implementation. The pilot study highlighted challenges of the implementation which should be considered for future improvement.
Keywords: Postgraduate Medical Education, E-Portfolio, Entrustable Professional Activities, Supervision, Needs Analysis, Pilot Study
Practice Highlights
- Development of assessment application, including e-portfolio, should consider input from the stakeholders.
- The e-portfolio should further be defined to emphasise the documentation, reflection, and feedback processes.
- Consideration of adequate evidence for EPA should be determined based on the aim of the e-portfolio.
- A robust e-portfolio implementation will potentially support the implementation of EPA.
- Challenges in e-portfolio implementation should be aware of and tackled for future improvement.
I. INTRODUCTION
Supervision is a critical component of postgraduate medical education as it allows residents to have a gradual achievement of competencies while still fulfilling patient safety standards. Patient care conducted by residents under adequate supervision can have results comparable to the care provided by more experienced medical doctors (Farnan et al., 2012). To entrust the resident, a supervisor considers several factors, including incidents experienced during supervision, the resident’s characteristics, the results of assessments, and encountered situations (Cianciolo & Kegg, 2013).
Ten Cate et al. (2015) introduced the Entrustable Professional Activities (EPA) concept to facilitate the implementation of a competency-based curriculum in the workplace (Ten Cate et al., 2015). EPAs are observable and measurable units of work that can correspond to competency milestones, allowing for safe and effective performance (Carraccio et al., 2017). Easily accessible and interpreted information about a resident’s past performance using the EPA concept is, therefore, suggested to facilitate the entrustment process, both for ad-hoc and summative purposes (Hauer et al., 2013; Ten Cate et al., 2015).
Entrustment decision-making refers to a supervisor’s decision to trust a resident to carry outpatient care ‘without supervision’ (Crossley et al., 2011; Ten Cate, 2006; Weller et al., 2014). Given the need for assured patient safety, ‘without supervision’ refers to the reduction of educational supervision and the provision of ‘relational autonomy’, whereby interdependence between the resident, the supervisor, the healthcare team, and the healthcare system becomes critical (Holmboe et al., 2011). However, the amount of data accessible about a resident’s performance should be analysed comprehensively to enable ad-hoc entrustment (Sandhu, 2018).
Logbooks and portfolios have been considered as workplace-based assessment methods that would enable summarising a resident’s performance as well as maintaining assessment results during training (van Tartwijk & Driessen, 2009). Electronic portfolios, or e-portfolios, are believed to increase the accessibility of a portfolio in medical training provided that the purpose of the portfolio development is well defined, such as for learning, assessment, or continuing professional development (Deketelaere et al., 2009, Tepper et al, 2020; van Tartwijk & Driessen, 2009). Generally, an e-portfolio aims to monitor a resident’s competency development and to stimulate the capacity for self-reflection (Meeus et al., 2006).
An e-portfolio may consist of a list of a resident’s performance, the supporting evidence, and the resident’s self-reflection (van der Schaaf, et al., 2017). The content is specific according to the e-portfolio’s purpose and the required activities/competencies for the resident at each level (Mulder et al., 2010). The use of an e-portfolio with a mobile application and updated evidence of residents’ performance potentially enhance informed decision-making in the entrustment process, and hence, it can be embedded in the resident supervision system (Ten Cate et al., 2016). An exploratory study in Australia showed that an EPA-driven e-portfolio model assisted trainees and supervisors in agreeing upon expected trainees’ performance in order to obtain competence level (Bramley et al., 2020).
Implementation of e-portfolio as a supporting system for EPA should consider supporting and hindering factors specific to an institution. Implementation of best practices in this area can be accompanied by an exploration of the most suitable system according to the stakeholders’ needs. Therefore, the current study aimed to explore stakeholders’ needs and develop a mobile-app e-portfolio model in a teaching hospital with various postgraduate medical education programmes located in a resource-limited setting. The study also aims to identify challenges of e-portfolio implementation. The research questions of this study were: (1) What are mobile-app e-portfolio features needed to support EPA implementation in the current teaching hospital? (2) How do stakeholders perceive the use of the developed mobile-app e-portfolio during the pilot study?
II. METHODS
A. Context
Cipto Mangunkusumo General Hospital (CMGH) is the main teaching hospital for the Faculty of Medicine Universitas Indonesia (FMUI) and is located in Jakarta, Indonesia. All 31 study programmes implement a competency-based medical curriculum and EPA approach. CMGH is obliged to have all study programmes participate in clinical activities, which are gradually entrusted to residents in accordance with the resident’s level. The EPA document in form of a matrix is then used to develop supervision system. Supervisors are trained to provide feedback through compulsory clinical teacher training conducted by the faculty. Assessment documentation has been conducted mostly manually in hardcopies for all study programs; consequently, tracking the residents’ performance to provide formative or summative EPA decisions has been challenging in the current setting.
B. Design
This study is participatory action research with a mixed -method approach. The exploration stage was aimed at exploring the needs and features expected from the mobile application. Following the exploration stage, the research team in collaboration with a professional vendor developed the mobile-app e-portfolio according to the results of the exploration stage. The pilot implementation phase aimed to implement and train residents and supervisors in the use of the application. A follow-up evaluation was conducted to assess users’ perception about the use of the e-portfolio application.
C. Respondents
Respondents of this study were education leaders from the medical school and the teaching hospital. Residents, clinical teachers, and administrators from six study programs representing medicine, surgery, and diagnostic: anaesthesiology and intensive care, obstetrics and gynaecology, psychiatry, oncology radiation, radiology, and internal medicine at CMGH/FMUI were recruited with maximum variety sampling method taking into account gender, age, and length of study (residents) or work (clinical teachers). Detailed information of the study was given to all participants who then provided written consents prior to the interviews and completion of the questionnaire.
D. Data Collection
The exploration stage involved interviews with: (1) residency programme directors; (2) education leaders from the medical school and the teaching hospital. Focus group discussions (FGDs) were also conducted with clinical teachers and residents from the six study programmes. The guiding questions of the interviews and FGDs were developed according to e-portfolio and EPA concepts used in medical education, and are shown in Table 1. The data obtained were used as a reference for further development of the application’s content and features. In addition, the EPA document from each study program was also analysed as baseline data for developing the platform.
Following the development of the application, a four-week-long pilot implementation was conducted in November 2018. After week four, the back-end system data were analysed. Supervisors’ and residents’ perceptions of the use of mobile-app e-portfolio for supporting EPA were collected using a modified questionnaire of System Usability Scale (SUS) (Brooke, 1986). Active commentaries were also added in the questionnaire to obtain users’ suggestions:

Table 1. Guiding questions of interviews and focus groups
E. Data Analysis
The transcripts of interviews and FGDs of the need analysis stage were analysed using thematic analysis. The agreed subthemes and themes and the results of the analysis of EPA documents from each study program were then translated into a computational framework to be developed as mobile application e-portfolio’s features, also considering the best practice and theoretical framework of e-portfolio development and EPA practice.
Back-end data of the activities, case variations, and supervisors’ feedback were descriptively analysed using SPSS IBM 22.0. The words submitted on the reflection-on-action section of each activity were counted along with the feedback recorded by the supervisors. Residents’ reflections were categorised into those with descriptions of difficulties (DD), lessons learned (LL), and action plans (AP). The feedback recorded was classified into descriptive (D), constructive (C), and neither descriptive nor constructive (N) categories.
The modified SUS questionnaires were descriptively analysed using chi-square/fisher exact analysis (SPSS 22.0) to compare residents’ and supervisors’ perceptions. The active commentaries in the questionnaire were also thematically analysed to identify areas of improvement in the e-portfolio development.
III. RESULTS
A. Exploration Stage
Eight in-depth interviews were conducted with each residency program director as well as with the leader of FMUI and with teaching hospital director representatives. Two FGDs were conducted, each with three study programmes faculty members. In addition, three FGDs were conducted, each with two study programmes resident representatives. The number and characteristics of the participants are described in Table 2.

Table 2. Characteristics of Focus Group Discussion (FGD) Participants in Exploration Stage
Four main themes and 22 subthemes were identified during the exploration stage. The main themes identified were (1) resident supervision; (2) current implementation of workplace-based assessments; (3) current implementation of portfolios and logbooks; and (4) development of the mobile application e-portfolio.
|
|
Theme |
Subtheme |
# of Quotes |
Quotations |
|
1 |
Resident supervision |
Constraints in supervision (faculty members, patient/clinical cases) |
59 |
“For example, during the mid-level programme, residents were required to be fully supervised, but when they should be fully supervised was not specifically stated.” (W1, p. 1) |
|
|
|
Form of supervision |
46 |
“…we should report to the supervisor when anything goes wrong to get feedback; otherwise, it will become our fault.” (FGD 2, [R5], p. 2) |
|
|
|
Determination of entrustment (written curriculum, residents and patients factor, workplace, agreement among faculty members) |
42 |
“At some point, we might feel that the resident is eligible to perform the procedure after he/she has observed several times, and then we try to let him/her give it a try, but we are actually risking our trust…” (W7, p. 5) |
|
|
|
Background and determination of supervision (workplace, resident’s educational stage) |
26 |
“Supervision was given hierarchically; the third-year residents attain duty as the chief, supervisor, and the highest form was division of weekly rounds.” (FGD 4, [R1], p. 2) |
|
|
|
Documentation of supervision level |
10 |
“Our logbook contains a very clear explanation about supervision level, such as what cases should be achieved so that we can evaluate and reflect on our progress in one semester.” (FGD 3, [R6], p. 9)
|
|
2 |
The current implementation of workplace-based assessment |
Scheduled WBA |
17 |
“During each rotation, residents and consultants were scheduled with case-based discussions or miniCEX; while for surgical DOPS, [it] is not specifically scheduled because it depends on the availability of the case.” (W3, p. 1) |
|
|
|
WBA as stage step-up procedure |
6 |
“In our programme, there are several cases we need to get done at each level, usually cases written in the logbook.” (FGD 2, [R7], p. 3) |
|
|
|
Based on the written curriculum |
4 |
“In our programme, we arrange evaluation at every level. We evaluate every intern according to the required competency they should achieve.” (FGD 4, [R3], p. 7) |
|
3 |
The current implementation of portfolio and logbook |
Technical portfolio and logbook implementation (as monitoring, communication, and assessment instrument) |
26 |
“On a routine basis, the form was filled in each afternoon, when the patient’s information, such as name, weight, and height, are recorded.” (FGD 2, [R7], p. 4) |
|
|
|
Constraints in portfolio and logbook implementation (lack of ownership, faculty member factor) |
38 |
“Due to the enormous workload every day, such as examining patients, attending division rounds, filling out electronic health records, and receiving so many instructions, they couldn’t complete the logbook routinely. Besides, the supervisor might find it unnecessary to write down their supervision in the log book after discussions, rounds, or treatments.” (W2, p. 10) |
|
|
|
Understanding of portfolio and logbook for residents’ development (clinical, academic, non-academic)
|
24 |
“Portfolio consists of one’s creativity, innovation, and organisation experiences.” (W8, p. 1) |
|
4 |
Development of the mobile application-based e-portfolio |
Residents’ performance and experience (clinical and academic) tracking |
20 |
“We evaluated one intern’s competency in ultrasound, and the result wasn’t quite satisfying. It turned out that this intern lacked of practice that could’ve been done every day since the cases were quite abundant.” (W6, p. 10) |
|
|
|
User-friendliness and real-time access |
18 |
“The application may have to be ‘consultant-friendly,’ so they can finish it in a click.” (FGD 2, [R3], p. 7) |
|
|
|
Feedback documentation |
13 |
“In my opinion, there has to be some immediate feedback.” (FGD 2, [R5], p. 7) |
|
|
|
Accessibility and confidentiality |
11 |
“As they save the record of the treatment that has been checked by the doctor in charge, they can no longer change it because only the supervisor has the authority to change.”(FGD 4, [R4,] p. 19) |
|
|
|
Encompass achievement of competence and modules within the curriculum |
7 |
“We want it to be comprehensive, so it can be evaluated. This is about clinical skills, but then the related academic skill is also important.” (W4, p. 9) |
|
|
|
Ensuring patients were treated by competent and authorised residents |
4 |
“We need to ensure that the patient is treated by competent, authorised, and certified doctors.” (W7, p. 10) |
|
|
|
Reminder and consequences for undocumented activity |
5 |
“There must be something to force the resident to write down his activity so the next day, he can keep up with the new tasks.” (W2, p. 10) |
|
|
|
Paperless attribute, but printable if needed |
6 |
“The record and the format will be the students’ database as well as the supervisors’. Therefore, it needs to be printable for our benefit.” (FGD 2, [R3], p. 7) |
|
|
|
Integrated with service care system |
3 |
“We have to write down the same thing repetitively in so many books and records.” (FGD 3, [R8], p. 12) |
|
|
|
Collect important evidence of accomplishments (cases and complications, image documentation) |
4 |
“Compiling the number of cases is required, and reporting complications in cases is equally important. Let’s say they are in the third level, but complications occurred in most of the procedures they performed.” (W3, p. 7)
|
Table 3. Themes and Subthemes Identified in Exploration Stage
According to the analysis conducted in the exploration stage, stakeholders expected the availability of various features in the mobile application-based e-portfolio. However, it was not possible to accommodate all of the identified features at the implementation stage. The authors identified the key features in order to develop a generic application, taking into consideration the findings related to the current implementation of a workplace-based assessment, portfolios and logbooks, supervision, level of entrustment, and other technical issues. Also considered were the identified basic needs of the teaching hospital, study programmes, faculty members, and residents, along with best practice principles related to application development.
Some of the key features derived from the analysis included in the implementation stage were the following:
1) Supervisors and administrators are allowed to track residents’ performance and achievements.
2) A drop-down menu is used in most form segments for easier and user-friendly data input.
3) Feedback from the clinical supervisor is recorded on each data input.
4) Clinical cases, supervision level, and type of clinical authorities are set according to the residential programme and the resident’s educational stage.
5) Guided self-reflection questions for the resident are mandatory on each data input.
6) Attachment of supporting image as evidence is facilitated for each data input.
The application was divided into two platforms: for residents and supervisors. The menus in the residents’ application included activity list, activity input, report, and profile, among others. While submitting new activity into the platform, residents must fill in the information related to each clinical activity, describe the activity according to the given guided reflection-on-action features, and provide evidence form of photographs (if applicable). The supervisor application had only one main feature for reviewing and providing feedback on activities previously submitted by residents. The figure of the application and its overall process of the application is shown in the appendix.
B. Pilot Implementation Stage
During the four-week-long pilot programme, the residents were encouraged to submit as much evidence as possible related to patient care to the e-portfolio platform. The evidence was automatically sent to assigned faculty members’ platform in order to get feedback. Observations were conducted by evaluating the data input from the application’s backend to obtain data regarding the utilisation frequency and types of cases input in the mobile application in each residency programme. A total of 311 activities were submitted into the application during the four-week-long pilot programme; however, only 98 (31.5%) activities received feedback from clinical supervisors. Table 4 describes the results of the average word count analysis of the residents’ reflection-on-action and the feedback received in the mobile application e-portfolio during the implementation stage.

Table 4. Activity Report of the Pilot Programme: Recorded Activity, Residents’ Reflections and Feedback from Supervisors
1: Psychiatry, 2: Internal Medicine, 3: Obstetrics & Gynaecology, 4: Anaesthesiology & Intensive Care, 5: Oncology Radiation, 6: Radiology; DD: description of difficulties
LL: lessons learned, AP: action plan, D: descriptive feedback, C: constructive feedback, N: neither descriptive nor constructive feedback, AWC: average word count
The feedback received covered a wide range of competencies: clinical skills, knowledge, and patient care. The quotations below are completed with codes explaining the details as follows: a. FB which stands for Feedback; b. Number (1-6) which refers to the study programme 1 to 6; and c. Last number (e.g 9, 15) which refers to the list number of feedback comment in the system.
“Spinal USG exercise on new-born infants to improve skills.”
(FB, (5), 9)
“Learn about the differences in fracture due to trauma, metastasis, and infection.”
(FB, (5), 13)
Although most feedback obtained from supervisors was classified as descriptive or “neither descriptive nor constructive”, there was some constructive feedback, describing not only what to do but also how to do it and improve the residents’ performance.
“Volume target determination was excellently and efficiently carried out. Effective and efficient communication could be achieved even by telephone. There were few problems in terms of work efficiency because no confirmation was made about which work had and/or had not been done by the supervisor. However, the overall process and results were excellent.”
(FB, (4), 9)
The users’ evaluations on the mobile application-based e-portfolio were obtained using a modified version of the SUS questionnaire at the end of the pilot programme. The pilot study participants included 45 faculty members and 66 residents. Out of a total of 111 questionnaires distributed, a total of 92 questionnaires were received back: 37 faculty members’ response (84%) and 55 residents’ response (82%). The results showed that the faculty members and residents had similar views regarding most aspects evaluated by the questionnaire. Comparisons between the proportions were conducted using a chi-square test—which showed significant differences between faculty members’ and residents’ perceptions on seven items as shown in Figure 1. The complete result of the SUS questionnaire is provided in Appendix 2.

Figure 1. Comparison among supervisors and residents satisfaction on the e-portfolio application
The results of the thematic analysis of the active commentaries in the questionnaire revealed four main themes:
1) Participants believed that the application was user-friendly but needed improvement in some features and interfaces.
“The display can be improved so the most frequent treatment can be put on top. Thus no repeated scrolling down is needed.”
Commentaries- resident-1 (52)
2) Some constraints identified were: the length and number of forms to be filled in the mobile application, the lack of notifications, case grouping according to clinical rotation, as well as the needs for integration with electronic health records and other established applications in each study programme.
“…filling the apps is burdening residents with a bunch of caseload. The interface has to be simplified, with the option to pick certain cases without deeply analysing each case (e.g. there were 50 cases today yet only 2 unique/interesting cases which required special attention, etc.).”
Commentaries-resident-6 (46)
3) Both faculty members and residents similarly noted utilisation of the application to facilitate supervision.
“All supervising needs have been accommodated.”
Commentaries-faculty-1(91)
“Supervisor’s verification system was a good thing.”
Commentaries-residents-3 (8)
4) Lastly, the participants felt that the availability of the feedback feature was positive, despite some identified constraints in giving feedback.
“The most important feature of this, I think is the feedback giving and follow-up plan.”
Commentaries-faculty-5(63)
IV. DISCUSSION
This study highlights the development of an app-based e-portfolio in the teaching hospital of a resource-limited setting. The study was able to identify key features of the e-portfolio based on the stakeholders’ (i.e programme coordinators, supervisors, and residents). Several challenges which should be addressed for future improvement were also identified in the pilot study.
The first stage of the study was able to explore the perceptions of users which informed the e-portfolio. The users identified the need of a portfolio (Crossley et al., 2011) for documenting residents’ achievements over time and for assessing coverage of clinical case management. The use of a portfolio in digital form in this study also aimed to facilitate the process of supervising residents working in the teaching hospital. The supervision system in the current teaching hospital adopted the EPA concept (Carraccio et al., 2017; Ten Cate et al., 2015), which had been in use for the past 2 years in the six study programmes.
The use of an e-portfolio is not particularly new in postgraduate training (Kjaer et al., 2006), but the particular use for facilitating supervision of residents has, to the best of the authors’ knowledge, rarely been reported (van der Schaaf et al., 2017). Reported challenges of e-portfolio are the residents’ burden despite the use of an electronic platform (Birks et al., 2016; Vance et al., 2017), the reliability of a workplace-based assessment portfolio (Castanelli et al., 2019), and the fact that time issues in clinical practice should always be taken into consideration (Binhimd et al., 2017). Heeneman and Driessen hence clarify that it is necessary to determine whether portfolio development by residents is voluntary or compulsory (Heeneman & Driessen, 2017). Based on the framework, the current e-portfolio can be categorised as a combination of a training and personal development portfolio, which comprises mandated required skills and competencies in a fixed format as well as personal reflections of progress (Heeneman & Driessen, 2017). In addition, the use of mobile application was expected to support the use of e-portfolio for residents’ learning in a busy clinical setting (Mok et al., 2019).
An important framework that was adopted in the e-portfolio platform in this study is the EPA. EPA development calls for the consideration of competencies, clinical settings, the entrustment process and stakeholders’ agreements, including those of staff/supervisors and experts (Ten Cate et al., 2015), residents, the teaching hospital and even patients, if applicable (Lundsgaard et al., 2019).
The authors of the present study identified the potential value of a portfolio as a tool to provide ad-hoc supervisor decision-making, based on the study by van der Schaaf et al. (2017). Based on the reflections in the six study programmes, the e-portfolio incorporated residents’ performance, supervisors’ feedback, and evidence of achievement that is in line with the expected level of competencies or EPAs in the curriculum. The evidence is required by supervisors for deciding on a level of entrustment. A study involving experienced obstetrics and gynaecology supervisors in the Netherlands suggests that both formal and informal entrustment processes are used in combination on a daily basis. Informal entrustment is thought to provide more flexibility because it can be adjusted more easily than a formal one (Castanelli et al., 2019).
Based on the analysis in the exploration stage of the present study, the platform was designed to accommodate entries by a resident which were then responded to by a supervisor directly in the clinical setting or indirectly through the application (with the supervisor’s presence according to the EPA and supervision level for particular case managements/procedures). According to van der Schaaf et al. (2017), the current e-portfolio adapted both a student model that provided achievement monitoring and a feedback model that provided personalised feedback. The data visualisation in the current study was not yet used for the supervisors’ entrustment process and is a subject for further development of the application and back-end data analysis.
The e-portfolio application in this study was designed to include a feedback model, which was initiated by reflection by the resident. As described in Table 5, despite the number of recorded activities, only 12.5–45% of them received written feedback from the supervisors. Of these, most of the feedback was descriptive or constructive. Before providing or documenting feedback in the application, the supervisor may verify the case or do so after observing the resident performing the procedure.
Apart from the residents of the Radiology programme, almost all residents documented their reflections on the encountered clinical cases: the difficulties, lessons learned, and action plans (Table 3). The residents’ reflections were considered as one of the key successes of the portfolio implementation (Binhimd et al., 2017), and it is also a best practice in feedback provision in clinical training (Bounds et al., 2013; Kornegay et al, 2017; Ramani & Krackov, 2012). The residents in the pilot study displayed a good habit of feedback-seeking behaviour by initiating their reflections. Given the burden of daily routine in the teaching hospitals, the quality of the written reflections completed by residents was of concern in this study. Further consideration to moderate the frequency of reflections should be incorporated hence the residents can practice more in-depth reflections which are necessary for more meaningful feedback and future actions for improvement.
All reflections and feedback were given in less than 50 words; hence, it is again considered feasible for the users to conduct brief reflection and feedback within the application. The residents’ feedback showed that it was one of the most important features of the application, which supported their learning. Despite this, a rather low amount of feedback with low word counts was given to the residents during the pilot study, raising concerns that despite the feedback training given to supervisors, the use of the application did not necessarily increase the amount and quality of documented feedback. As suggested by Brehaut et al. (2016), the format of feedback delivery matters, and it is preferable to avoid the cognitive overload of the recipients in the use of an electronic platform, as attempted in the current application. The limited amount of feedback documented during the pilot study, however, did not reflect the actual practice of giving feedback in the current setting. The documentation of feedback was expected to facilitate the long-term monitoring of residents’ progress (van der Schaaf et al., 2017), which may prompt supervisors’ summative entrustment decisions. The residents’ feedback in this study also highlighted the need for deeper reflection on the voluntary selection of clinical activities, so that the resident did not have to input all encountered cases. This might increase the user-friendliness of the application, yet it might require further agreement with the supervisors and the study programme coordinators.
The evaluation of the supervisors and residents in the pilot study showed that supervisors perceived more positively the use of the apps, compared to the residents. From the supervisors’ point of views, accessibility of online data on resident’s performance was responded to very positively given current challenge in tracking this in manual documentation. From the residents’ point of views, this might be due to that despite the potential of the current application to enable clinical supervision, submitting data into the application felt like an addition to the residents’ workload, due to redundancy in submitting information into both e-portfolio platform and the e-hospital medical records. The workload of residents in teaching hospitals has been a controversial issue in postgraduate medical education (Nishigori et al., 2015). The stakeholders should agree on which data are compulsory and critical for evaluation and which are voluntary in the e-portfolio, both for training and patient care purposes. In addition, the authors also realised that training on portfolio development and supervision should be supported with a longitudinal mentoring process and an analysis of longitudinal performance (Heeneman & Driessen, 2017).
A. Study Limitations
The study has some limitations. The study was conducted at one teaching hospital and involved a limited number of study programmes. Given that Cipto Mangunkusumo is one of the busiest national referral hospitals, with complex cases and high workloads, the perspectives of key stakeholders explored in this study were critical for consideration in the development of an e-portfolio mobile application. In addition, the study was able to identify the features of an e-portfolio that can potentially support the supervision and entrustment processes. Future versions of the e-portfolio application aimed at enhancing the quality of supervision should consider the analysis of the residents’ longitudinal performance through prompt data analysis in the system, thereby supporting formative and summative entrustments during clinical supervision as well as the integration of an adequate mentoring system.
V. CONCLUSION
The present study explored the stakeholders’ need of an e-portfolio for supervision that enables all parties to monitor learning progress and competency achievement. On top of the implementation of workplace-based assessments and EPA systems in the respective study programmes, the identified key features of an e-portfolio mobile application reflect the needs of residents, faculty/supervisors, the teaching hospital, and the school of medicine.
The pilot implementation showed that the e-portfolio mobile application was feasible and potential for use by residents, supervisors and programme coordinators in monitoring EPAs and competence achievement in the current setting, with highlighted challenges that need to be tackled in the future. The platform’s use in assisting entrustment decisions should be further confirmed with a longitudinal analysis of the residents’ performance and the use of the analysis by the supervisors. The development of such an e-portfolio to support EPA in other settings should consider the dynamics of case complexity, residents’ level of competence and entrustment, workload, the healthcare system, and the education system. Finally, in a resource-limited setting, the involvement of stakeholders from the start to prioritise the e-portfolio features, user-friendliness, and technology feasibility should always be considered.
Notes on Contributors
Ardi Findyartini reviewed the literature, designed the study, conducted interviews and focus group discussions, analysed transcripts and led the manuscript writing.
Natalia Widiasih reviewed the literature, designed the study, conducted interviews and focus group discussions, analysed transcripts and wrote the manuscript.
Nadia Greviana conducted interviews and focus group discussions, analysed transcripts and wrote the manuscript.
Gregorius Ben Prayogi conducted interviews and focus group discussions, analysed transcripts and gave critical feedback in the manuscript writing.
Daniar Setyorini coordinated the e-portfolio development and data collection, analysed transcripts and gave critical feedback in the manuscript writing.
All authors have read and approved the final manuscript.
Ethical Approval
Ethical approval for this study was granted by the Faculty of Medicine Universitas Indonesia – Cipto Mangunkusumo Hospital Research Ethical Review Board (2018) Number: 328/UN2.F1/ETIK/III/2018.
Data Availability
Data will be available upon request to corresponding author due to conditions of consent provided by respondents in this study and that it should abide data sharing policy from the medical school and teaching hospital where the study was completed.
Acknowledgement
The authors would like to thank CMGH, FMUI and IMERI for the organisational supports. The authors would also like to extend gratitude to all six participating study programmes, the programme directors, the residents, and the supervisors. Finally, the authors would like to thank Dr. Sri Puspita, who facilitated data collection for the study.
Funding
This study was funded by Dr. Cipto Mangunkusumo General Hospital Operational Grant 2018.
Declaration of Interest
All authors state no possible conflicts of interest, including financial, consultant, institutional and other relationships that might lead to bias or a conflict of interest.
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*Ardi Findyartini
Department of Medical Education & Medical Education Center
Indonesia Medical Education Research Institute (IMERI),
Faculty of Medicine Universitas Indonesia,
Jakarta, Indonesia
10430
Email: ardi.findyartini@ui.ac.id
Submitted: 19 October 2020
Accepted: 12 April 2021
Published online: 5 October, TAPS 2021, 6(4), 80-91
https://doi.org/10.29060/TAPS.2021-6-4/OA2456
Balakrishnan Ashokka1,2, Tat Leang Lee1 & Daniëlle M.L. Verstegen3
1Department of Anaesthesia, National University Health System, National University Hospital, Singapore; 2Centre for Medical Education (CenMED), Yong Loo Lin School of Medicine, National University of Singapore, Singapore; 3Department of Educational Development and Research, Faculty of Health Medicine and Life Sciences, Maastricht University, Netherlands
Abstract
Introduction: There are certain factors in exam preparedness that are not well studied in the postgraduate medical education context. Non-academic predictors have been extensively researched but usually in isolation.
Methods: The study involved a sequential explanatory mixed methods research design. The study was conducted among anaesthesia postgraduates appearing for high-stake nation-wide primary examination. Data obtained by a questionnaire assessing pre-examination attributes were compared with the students’ reflections through focus group discussions (FGD) after the formal declaration of results. The examination had an overall pass rate of 42.9% (18 out of 42).
Results: The study showed that pre-examination questionnaire could identify attributes and study behaviours in the postgraduates who passed. Passers procrastinated three times lesser, pursuing a timetable-based study (conscientiousness); had higher metacognitive self-regulation (p value<0.05) applying concentrated self-directed learning & effective group study and higher self-efficacy compared to those who failed. The focus group discussions affirmed of these attributes in candidates who ‘breeze through exams’. Postgraduate success required better ‘work-study’ balance, self & cross regulation and peer and faculty support.
Conclusion: Implementing a composite tool to assess ‘exam preparedness’, we propose, would help the learners and teachers to skim for non-academic factors (metacognitive self-regulation, self-efficacy, conscientiousness) that influence the chances of success. Understanding & predicting this would help educators to identify the ‘candidates with difficulty’ and delegate personalised faculty attention. This could guide the exam candidates to have a ‘reality check’ to plan and pace their effort with peer learning, consolidated study and goal orientation.
Keywords: Postgraduate Exam Success, Non-Academic Predictors, Self-Regulation
Practice Highlights
- Non-academic attributes impact success in postgraduate examinations.
- Postgraduate exam success necessitates work-study & work-life balance.
- Time on task, self-regulation to task demands is needed when assessments are tougher and high stake.
- Exam preparedness: A collective attribute is proposed with a questionnaire to measure predictability of exam success.
- Shunning away from ‘shame of mock vivas’ spirals down to poor chance of passing.
I. INTRODUCTION
Postgraduate summative examinations have an important role in progress as a medical professional. Success in high-stakes assessments have an impact on societal impressions, career shifts and social strata changes (Hamilton & Brown, 2005; Slavin et al., 2014). Examinations ideally measure the students’ competencies, but there are reasons to think that there are factors other than academic predictors.
Learning strategies and monitoring vary across the age groups (Vermunt, 1996). High school education and learning require mastering declarative knowledge, largely through elaboration and rote memory. College students require advanced learning strategies involving skilful metacognitive knowledge monitoring (MKM) and self-regulatory strategies (SRL) (Isaacson & Fujita, 2006). Metacognition is the higher order mental process of “thinking about one’s thinking”, wherein, there are two aspects, namely the ability to reflect on the quantity & quality of knowledge acquired (MKM) and the operational strategies in pacing and preparing for the challenge ahead (SRL). Educational programs strive to facilitate this transition to become ‘adult learners’ (Ormrod, 2009).
Learning in undergraduate medical education requires ‘critical reasoning’ to assimilate relevant clinical information and deduce differential diagnoses. Postgraduate learners, particularly in the health professions, need self-regulatory skills to pace their self-directed learning in the absence of regular formative assessments. Zimmerman (2008) asserted that postgraduate learners in higher education possibly achieve superior standards of self-regulation and motivation. However, the adaptations in learning strategies or metacognitive regulatory activities are not well described in the context of postgraduate health professions. Soh (2019) described a six-step approach in the pretext of the ‘ownership cycle’ for supporting postgraduate learners with difficulty.
O’Connor and Paunonen (2007) urged researchers to ‘use multiple predictors beyond intelligence, such as personality, motivation, and study habits when predicting academic achievement’ (Ray & Brown, 2015). We set to explore how we can improve on the understanding of attributes that could be collectively stated as ‘exam preparedness’ (Appendix 1). We proposed to define ‘exam preparedness’ as:
“ability of the learner to inculcate educational situation awareness, to gauge task difficulty, assess self-efficacy, modify one’s own learning behaviour, manage self and moderate it with resources and personal capabilities, so as to plan and operationalise a scheme/ construct in exam taking aptitude & skills, resulting in comprehensive exam success”.
It is known from literature that testwiseness, “a subject’s capacity to utilise the characteristics and formats of the test and/or the test taking situation” could impact the outcomes of the examinations (Millman et al., 1965; Sarnacki, 1981; Wahlstrom & Boersma, 1968; Watling & Ginsburg, 2019). Our proposition of understanding ‘exam preparedness’ is more than coachable test-taking strategy of testwiseness, but on a broader holistic front that looks at emotive, behavioural, self-regulatory perspectives and preparedness for a task in anticipation.
II. RELEVANCE OF THE STUDY
We need ways to measure ‘exam preparedness’ because, first, it could help the postgraduate learners to identify major deficiencies in being task focussed and hone self-regulatory strategies. Second, it would help teachers to enhance support or ‘scaffolding’ that suits the needs of individual students. The concept ‘exam preparedness’ is not well constructed or described in literature. In the context of this research, we identify ‘exam preparedness’ to be everything but the student’s level of knowledge or competence. The cognitive determinants, like grade point average (GPA), are strong predictors of college success (Conard, 2006; Sladek et al., 2016; Zhou et al., 2014). In the postgraduate medical education context, where the academic capabilities are comparable and are well matched during their selection into residency, there are other non-academic attributes that could predict exam success.
The prediction of exam performance by factors such as achievement goal orientation, self-regulation, (Lucieer et al., 2016) conscientiousness (Brazdău & Mihai, 2011; Colthart et al., 2008), metacognition and meta-comprehension have been well described (Cook et al., 2011; Dunlosky & Lipko, 2007; Pintrich & De Groot, 1990; Zimmerman, 2000). The inter-relationships among these attributes are complex and not well studied. Our work was designed to help understand postgraduate students’ metacognitive, self-regulation, conscientiousness, and self-efficacy perceptions to aid in their learning.
III. METHODOLOGY
A. Study Design
The study involved a sequential explanatory mixed methods research design (McKim, 2017). The attribute of ‘exam preparedness’ was explored using existing predictors of academic success such as metacognition, self-regulation, self-efficacy and conscientiousness quotient. Data obtained by a questionnaire assessing pre-examination attributes were compared with the students’ reflections through focus group discussions, after the formal declaration of results. The mixed methods design consisted of ‘sequential approach’ where the questionnaire data collected prior to the high-stake examination provided inputs for quantitative analysis of the predictors of exam outcomes. This was followed by qualitative exploration of themes that emerged through focus group discussions. The themes summarised from the first focus group discussions were used to enhance the richness of second focus group discussion (Hennink, 2013).
B. Procedure
Anaesthesia postgraduate learners who appeared for the primary anaesthesia examinations were invited for participation in the study. These were high-stake summative examinations and mandatory for all postgraduates, limiting progression to senior years in residency and subsequent accreditation to a specialist. Informed consent was obtained for voluntary participation and confidentiality was ascertained for information on participant profiles and sensitivity of information about personal learning attributes. After approval by the institute review board, a pilot study was conducted to enhance validity of the questionnaire.
All the study participants who consented (30 out of 42 who appeared for exams) filled the pre-examination questionnaire, one month before the examinations. After completion of examinations and declaration of results, focus group interviews were conducted among students who passed the exam to explore further insights. Candidates who had not passed the examinations were excluded from the second part of study (as per Institutional Review Board (IRB) stipulations). The ‘passers’ were allocated into two sub-groups: the first-time passers or the ‘acers’, who succeeded in their first attempt and the ‘non-acers’, who were postgraduates with previous unsuccessful attempt(s) and have passed the examinations in this attempt (Figure 1).

Figure 1. Procedure of the study in chronological order
After completion of focus group discussions, the results were summarised and sent back to the participants for authenticity and approval of the content (member checking). Data analysis with mixing of the quantitative and qualitative data was conducted to appraise pre-examination attributes evaluated through the questionnaire with themes that emerged from the post-examination focus group discussions.
C. Instrument
A 50-point questionnaire was designed to understand the pre-examination attributes of the postgraduate residents when they had to face a high-stake assessment. The chief themes (Table 1) that were explored included the self-regulatory aspects of cognition, motivation/affect, behaviour and context that were adopted from the Motivated Strategies of Learning Questionnaire (MSLQ) (Credé & Phillips, 2011; Pintrich & De Groot, 1990; Pintrich, 2000).
|
Themes/ Attributes |
Definition |
Existing scales/ comments |
Simple meaning |
|
Metacognition & Self-regulation |
‘the people’s knowledge of their own learning and cognitive processes, as well as their regulation of those processes to enhance learning and memory’ (Ormrod, 2009) |
MSLQ (Motivated strategies for learning questionnaire, 81 items) (Pintrich & De Groot, 1990)
MAI (Metacognitive awareness inventory, 52items) (Schraw & Dennison, 1994) |
Metacognition= thinking about one’s thinking
Self-regulation= ability to pace one’s own efforts to task
|
|
Self-efficacy |
‘personal judgments of one’s capabilities to organise and execute courses of action to attain designated goals’ (Colthart et al., 2008) |
SES (Self-efficacy survey, 150 items) (Zimmerman, 2000, 2008) |
Self-perception of effectiveness |
|
Conscientiousness |
‘a broad domain encompassing individual differences in the propensity to follow socially prescribed norms for impulse control; to be goal directed, planful, to be able to delay gratification and to follow norms and rules’ (Roberts, et al., 2009). |
CQI (Conscientiousness quotient inventory,62 items) (Brazdău & Mihai, 2011)
|
Self-disciplined planful and perseverant
Conscientiousness is one of the big 5 personality traits with well validated proven predictors of academic performance |
Table 1. Major themes in pre-examination questionnaire
Note: Table showing the basic themes of the questionnaire and the existing published scales used for measurement of each of the attributes from which the questionnaire was developed.
The sections A-B of the questionnaire addressed time on task, study strategy, goal orientation and task preparedness. These were complemented with questions exploring students’ approach to learning in sections C-D (Pintrich, 2004). Personality traits and themes appraising the proven predictors such as conscientiousness were deduced from the Conscientiousness Quotient Inventory (CQI) (Brazdău & Mihai, 2011). In Section F, the questionnaire addressed the postgraduates’ reflection on how they handled the situation with ‘work-study’ and ‘work-life’ balance, through subsections on procrastination, handling distractions and rejuvenation (taking time off). Metacognition and self-efficacy were appraised in sections E & G with questions adopted from metacognitive awareness inventory (MAI) and self-efficacy scale (SES) (Coutinho & Neuman, 2008; Schraw & Dennison, 1994). These included questions on the residents’ own regulations of their learning such as choice of study resources, environment, effective study group dynamics, self-rated confidence, preparedness and understanding of impact of high stakes of the examination. The questionnaire was constructed with subsections that had reliability value of more than 0.7 in prediction of academic performance.
D. Purposive Sampling: Focus Group Discussions
The focus group discussions were conducted with semi-structured interview guides that were designed from the pre-examination questionnaire results. The questions were designed to be ‘open-ended’ and to understand ‘exam preparedness’. The interviewing faculty were carefully chosen to be neither the exam-trainers nor the exam-assessors, to minimise ‘observer biases’ and to remove confounding from ‘power’ relationships. The focus group structure included the investigator as the primary interviewer, while the information and discussions were captured through field notes by an assistant present inside the room. Audio or video recording were not permitted by the IRB for this study. To understand the perspectives of ‘failing’ and ‘what it takes to bounce back and succeed’, the ‘non-acers’ focus group was designed. These included students who had the experience of failing in previous examinations and have now succeeded in the present effort.
E. Analysis
For the questionnaire data, descriptive statistics were computed with SPSS 20 (IBM, Armont, NY, USA). The data analyses were carried out in three stages. First, the pre-exam questionnaire data of the passers were compared with the questionnaire data from the failed candidates to obtain any common patterns or contrasts. Unpaired t tests were performed to obtain the statistical significance of the questionnaire data comparing the two groups. Owing to limited size of the sample (n<60), no formal logistic regression could be performed.
Next, the focus group reflections of the candidates were compared between the sub-group of passers into ‘acers’ and ‘non-acers’. Thematic analysis was performed with initial codes applied during preliminary analysis and further confirmed as themes that consistently emerged in the subsequent focus group discussions.
In the final stage, the focus group discussion data were compared with pre-exam questionnaire attributes of the candidates for understanding the predictors of exam success and to strengthen the construct of ‘exam preparedness’.
F. Ethics
National University of Singapore institutional review board approved of the study (IRB:13-276) and focus group discussions were permitted only with candidates who passed the exams. The study was voluntary, and participants were empowered to opt out at any phase of the study.
III. RESULTS
Forty-two candidates appeared for the primary anaesthesia examinations. Of the 42 primary anaesthesia examination candidates, 30 (n=30) gave consent for the study and filled the pre-examination questionnaire (70% response rate). The overall pass rate was 42.9% (18 out of 42 who appeared for the examinations). 18 out of the 30 candidates who filled the questionnaire passed the exam. One candidate who had appeared for two concurrent primary exams (United Kingdom & Singapore) was excluded from the analyses as she might have received additional exam support. Hence, total number of study participants who passed the examination were 17, of which, 12 had passed the exam in first attempt (acers) and five had succeeded after previous attempts (non-acers). Of those who passed the exam, eight students participated in focus group discussions in two groups (acers and non-acers) of four each. The pass and fail groups were compared based on the various themes of the questionnaire such as study strategy, study time, goal orientation, self-regulation, metacognition and conscientiousness (Table 2).
|
Attributes |
Feature assessed |
Passers Subgroups |
Passers (17/29) %(n) |
Failed (12/29) %(n) |
|
|
Acers % (n=12) |
Non-Acers % (n=5) |
||||
|
Study Time |
Average weekday study time <2 hours / day |
25(3) |
20(1) |
23.5(4) |
83.3(10) |
|
Average weekend study time >6 hours in total |
75(9) |
80(4) |
76.5(13) |
33.3(4) |
|
|
Study strategy |
Timetable-based pattern of study |
41.7(5) |
60(3) |
47.1(8) |
16.7(2) |
|
Weekly Review of timetable |
50(6) |
60(3) |
52.9(9) |
33.3(4) |
|
|
Revisions for exam >= 2 times |
66.7(8) |
80(4) |
70.6(12) |
41.7(5) |
|
|
Goal Orientation |
Mock SAQ exam set rehearsals (Atleast once) |
91.7(11) |
80(4) |
88.2(15) |
50(6) |
|
Self-regulation |
Insufficient material covered <50 % only |
9.1(1) |
0* |
5.9(1) |
41.7(5) |
|
Conscientiousness |
Set Targets achieved <50 % only (procrastination) |
16.7(2) |
0* |
11.8(2) |
41.7(5) |
|
How prepared: feels <50% only |
33.3(4) |
20(1) |
29.4(5) |
41.7(5) |
|
|
Rejuvenate >= 2 times/ week |
33.3(4) |
60(3) |
41.2 (7) |
50(6) |
|
|
Self-efficacy |
> 50 % Confidence to face exams |
41.7(5) |
80(4)* |
52.9(9) |
41.7(5) |
|
Metacognition |
Study location: home |
33.3(4) |
80(4) |
47.1(8) |
75(9) |
|
Study with: solitude |
58.3(7) |
60(3) |
58.8 (10) |
83.3(10) |
|
|
Demographics |
Marital status: single |
83.3(10) |
20(1) |
64.7(11) |
66.7(8) |
|
Gender: Male |
33.3(4) |
60(3) |
41.2(7) |
50(6) |
|
Table 2. Subgroup comparison within passers and with failed candidates
Note: Table showing questionnaire data demonstrating differences between the two groups of passers and their comparison with the ‘failed group’ of candidates. Acers=first time passers; Non-acers=candidates who failed before but have succeeded in this attempt. The percentages are calculated in relation to the column header on top of respective rows. (* denotes statistical significance with p value<0.05)
A. Time on Task & Self-Regulation
The passers spent more weekend hours for study (average > 6 hours, 76.5% vs 33.3%) and far more of them planned their study using a timetable (47.1 % vs 16.7 %) (p value 0.036). Where they were timetable-based, passers reviewed their study plans weekly (52.9% vs 33.3%). Passers revised the study materials more often than those who failed (70.6% vs 41.7%). Passers perceived that they covered more study material sufficiently (5.9% lapses to cover in passers vs 41.7% in failure group, p value 0.05). The focus group discussions revealed that postgraduates who passed had higher self-regulation, covering larger volumes of sufficient material required. This was more prominent in the ‘non-acers’ who had failed before. The focus group discussions showed that the candidates rated the attribute of self-regulation as the most important quality to succeed in exams. The candidates felt that ‘diligently apportioning time, effort & resources, knowing to map what examiners want and selectively consolidating preparation’ (effort regulation), were predictive of exam success.
B. Self-Efficacy
Passers procrastinated less (perceived self-assessment of set targets achieved) with their study plans (11.8% vs 41.7%, p value 0.057). The focus group discussion showed that group study and external support through peers and seniors were vital in providing individualised attention & feedback to stay focused on track. They asserted that ‘being planful, persevering to achieve more than 50% schedule, pushing one another in striving to achieve that goal’ helped to pass.
C. Conscientiousness
The non-acers scored higher (p value<0.05) on conscientiousness (lesser procrastination) when compared to the failed candidates. Both groups took similar efforts to rejuvenate and recuperate, showing no difference (with p value >0.05), with no specific patterns in how postgraduates prepared for the high-stake assessments.
D. Additional Themes
Social factors like marital commitments (64.7% passers-single) and gender (41.2% passers-male vs 52.9% female) showed little difference (p value 0.335) in overall exam outcomes. Yet, subgroup analysis showed that among the passers, 83.3% of first-time passers were single and only 20% of those who were married passed in first attempt (Table 2). The study environment and study in solitude vs groups were comparable. On further elaboration in focus group discussion, the residents affirmed that not all the study-time with peers involved discussion, but the fact they all studied together helped them to ‘stick together and push each other to the very end’ (Table 3). The ‘non-acers’ study strategies were comparable to the ‘acers’ and they tend to study longer and plan their study ‘more timetable-based’ and reviewed it more often.
|
Themes |
Acers |
Non-Acers |
Common features |
|
The Primary Exam: general impressions |
Internalised factors: need deliberate effort, sacrifice, push on to end, set aside time, less social life |
Externalised issues: exam not structured, mark allocation not clear, no syllabus, no guidance, prep time not enough; requires senior guidance |
Work study balance difficult Primary exams a hindrance to progress in career |
|
Level of task difficulty |
Toughest of exams, difficult content to recall/ remember |
Need to know relevant knowledge (not a lot), Technique: structure/ how to answer is vital |
Task difficulty same throughout prep stages |
|
Difference from past success |
More deliberate effort; perseverance & discipline; not spoon fed like in UG |
More applied sciences content involved |
Work study balance needed |
|
Adaptations when facing exams |
Not to chance a failure; adapting study style to exams; perseverance |
Failure is a possibility; lots of practice; stay back post call to study; Technique: direct answers, open ended, forth coming answers |
Group study: push each other, enjoy same things, reinforces prep External / senior help: personalised attention, helps focus and formulate |
|
What went well as planned? |
Being in groups; Study material completion |
Exam goal-oriented selective study; more viva practice |
Study plan: timetable based; efficient completion; cover 50-75% plan; not giving up |
|
Perceived reasons for failure |
Not being ready in many ways |
Bad luck; unsupportive hostile examiners |
Gross lack of knowledge |
|
What to improve if rewind to 6 months before exam? |
Unpreparedness is an issue to avoid; minimise luck factor; get resources that answers / on syllabus on what examiners want |
Do past year questions to know the areas of focus; study leave at least two weeks |
Start earlier; push timetable better; syllabus-oriented prep; learn examiner mapping & prepare / practice so |
|
Exam preparedness: predictable qualities |
Knows weak & strong spots; knows a bare min of everything; consolidates prep to what examiners want |
Not fumble under pressure |
Know well what examiners want; smartly choosing enough material; technique/ way to answer exam question |
|
Breezing through exams: qualities |
Being in tune with recent exam patterns; not giving up |
Strong memory in foundational sciences- chemistry physics; enough material not lots of it |
Structured diligent exam-oriented prep Flexibly tied in plans Expressive in viva Delivers the wanted |
|
Advice for future candidates |
Minimise luck factor Stick to study plan Handling burn outs to avoid study plan disruptions |
Having good social exam taking attributes Small textbooks are useful more resources |
Not to shy away from shame of mock viva. Know examiner needs. Know syllabus well & Plan the study and technique |
Table 3: Focus group discussions summary
The main themes emerging from the two focus groups are summarised in Table 3. All focus group discussion candidates agreed that failure was chiefly a result of ‘gross lack in knowledge’ and ‘un-preparedness in many ways’. The focus group discussions concluded with the passers’ advice for success of future candidates and stated that:
“adhering to syllabus & plan of study, technique suited to examiner needs and not shying away from shame of mock exams, minimizing luck factor, possessing good social attributes (viva skills), persevering with study plans and timing of rejuvenation was the key to success”.
The focus group discussions supported this concept that ‘the best way of passing the exam was to dare the shame of practice viva’ and not to shun away from faculty feedback on performance in mock exams. The ‘passers’ had spent twice the time and effort in practice exams and revisions when compared to the ‘fail’ group (self-regulation).
IV. DISCUSSION
Our study showed that the candidates who passed, monitored their learning well by choosing to stay in groups and ‘stuck together’ by helping one another. The focus group discussions showed that they opted to adopt this mode of studying because the task was difficult and required constant motivation and peer support. This is in accordance with literature that claims the usefulness of peer support and feedback (de la Cruz et al., 2015; Dochy et al., 1999; Lerchenfeldt et al., 2019). What is vital was the ability of the candidates to assess what components of the exam content requires concentrated self-learning, like memorization, and differentiate it from study materials that require learning in groups and further elaboration.
Our study showed that the ‘passers’ were mindful of how they took time off to study or rejuvenate. The ‘passers’ tend to procrastinate three times lesser than the ones who failed. More so, a subgroup analysis showed that the ‘non-acers’ or the previous failed candidates never put away their schedules and stayed pursuing a timetable-based study (0% procrastination). The focus group discussions reinforced the fact that the ‘passers’ felt that there were loads of enormously difficult basic science content to be covered, such as applied physics and pharmacology, and time was limited, requiring further organisation and seamless execution of the study plan.
Self-efficacy evaluations showed no clear difference when comparing the groups of ‘passers’ and ‘failed’ candidates. However, the subgroups analysis showed that the ‘non-acers’ were twice as confident as the rest. The focus group discussions confirmed that the non-acers, having had the experience of failing before, ‘had a clear understanding of the difficulty of task and had commenced their study early in a programmed timetable-based manner with specific feedback and personalised attention from faculty supporting them’.
Cilliers et al., (2012) modelled the pre-assessment learning effects of high-stakes assessments and postulated ‘efficacy’ as an adaptation in the learner in anticipation of the task. Our ‘non-acers’ had been through the actual task difficulty, having failed earlier, had higher self-efficacy and now programmed their study well, expending more time on task. The lower self-efficacy might mean that this is an important lead for the faculty, in how they counselled and supported future candidates that are to be trained for high-stakes examinations (Lucieer et al., 2016).
A. ‘The Exam Ready Candidate’
Our study showed that passers had higher degree of self-regulation, conscientiousness, and metacognition. The focus group discussions further affirmed the information about the relationship between the various attributes and the students’ perceptions of ‘exam preparedness’. They felt that the candidates who ‘breeze through exams’, in other words, the exam ready, ‘possessed exam oriented (goal oriented) flexibly tied into study plans (metacognition), were expressive in viva (self-efficacy), delivered the necessary content well (conscientiousness)’ in addition to ‘diligently apportioning time, effort & resources (effort regulation), knowing to map what examiners want & selectively consolidating preparations (study strategy)’.
B. Understanding the High Failure Rates
The anaesthesia postgraduate primary examinations had a dismal 42.9% pass rate while undergraduate examinations had more than 90% pass rates. This is intriguing and highlights the complex relationships between the poor predictability of undergraduate academic scores and the influences of other paradigms in postgraduate exam performances (Division of Graduate Medical Studies [DGMS], 2013). The focus group discussions helped us understand this phenomenon better. The residents felt that ‘unlike undergraduate exams, the postgraduate examinations required lot more application of work-study balance and work-life balance’. During the undergraduate years, the students felt that the sole focus was to learn and perform in examinations, with lot more protected time during the day and all the weekends were dedicated to study. Although they require a particular level of academic competence to become a postgraduate, there is more to explore when it comes to exam success such as ‘work-life’ and ‘work-study’ balance (Klomegah & Yao, 2007; Rau & Durand, 2000).
C. Practical Implications
Through this study, we identify the presence of attributes such as metacognitive self-regulation, conscientiousness, and self-efficacy. We now know that candidates who score well in these component-attributes tend to pass the examinations. We propose that achieving an element of predictability will be a good lead for:
1. The educators to identify the ‘candidates with difficulty’ and delegate special care and personalised attention to them, while it is feasible and not too late.
2. The exam candidates themselves to have a ‘reality check’ on where they stand and what would be the best way ahead: peer learning, consolidated study, goal orientation etc.
D. Scoring Exam Preparedness and Planning Scaffolding
Candidates with ‘poor conscientiousness score’ could be scheduled to ‘receive more structured assistance through study groups, frequent deadlines, shorter assignments, group assignments and clearly defined learning goals’ (Kappe & Van Der Flier, 2012). This was put to light in our focus group discussions when one of the candidates who was unsuccessful earlier, but passed this time (non-acer) stated that:
“what made all the difference in this exam was that faculty and peers sat next to me in a quiet room, gave me a short study topic, made me do a SAQ, then a short viva on it, then gave me a critical feedback on how to improve. This was very encouraging, and I felt the intention of the faculty and peers were to help me and not to embarrass me on how unprepared I was. This inspired me to pass this ordeal this time…”
Implementing a composite tool to assess ‘exam preparedness’, we propose, would help the learners and teachers to skim for predictable factors that influence the chances of success. Incorporating a system of ‘scaffolding’ would help in early guided learning towards exam success. This, we feel, is particularly imperative when educational programs deploy high-stakes single summative exams. Self-efficacy Survey (SES) was described as a measure for identifying disability in adaptive attitudes and disfunctionality (Panc et al., 2012). Using such a measure could identify ‘trainees with difficulty’ and guide us to channelise our efforts and resources for those who need it the most. Kandaswamy and Anbarasi (2014) suggested early identification of ‘gifted under achievers’ and successfully devised a structured program for psychological support, demonstrating a reduction of dropouts for dental undergraduates.
E. Limitations & Reflections
The chief limitation our study was the aspect that attributes like metacognitive self-regulation, conscientiousness and self-efficacy have considerable overlapping concepts and it was difficult to compartmentalise these themes when interpreting the qualities of a learner. Our study population was limited to anaesthesia postgraduates’ primary examination results from one country. A fair comparison of other specialty postgraduate examinations could not be accomplished in our context owing to variation in exam task difficulty, timings, and patterns of assessments.
Of the 42 who appeared for exams only 30 consented to fill the questionnaire. Only one among the 12 students who chose not to fill the questionnaire passed the exam. This could have been another area of rich information. Did the learners know that they were not prepared at all or was the title labelling students “exam smart” made them to excuse themselves off the study? It is possible that respondents gave ‘socially acceptable answers’ when the questionnaire was given, especially so when our study is titled to explore how ‘prepared/ ready’ they were or predicting their chance to pass.
There are possibilities that testwiseness could have contributed to exam success and were not explored in the focus group discussions (Millman et al., 1965; Sarnacki, 1981; Wahlstrom & Boersma, 1968; Watling & Ginsburg, 2019). Though the present study involved short answer questions and viva-based examinations that tend to report less of testwiseness, as compared to multiple choice questions, future research could appraise this concept and consider ways to address that in the methodology.
1) Validating a questionnaire for ‘exam preparedness’- A lead for the future: Our model of ‘exam preparedness’ was proposed to address the complex learning and myriad of factors that impact postgraduate academic performance (Appendix 1). A well validated composite score or scale on ‘exam preparedness’ can be a yardstick for ‘assessment for exam-readiness’, thereby planning the allocation of resources and faculty time and effort. Future studies could evaluate when it would be an appropriate time for evaluating the score (1 or 3 or 6 months before exams). It should not be too near to the examinations, lest it could be too late for any usefulness of its predictability.
V. CONCLUSION
There were similarities in attributes that characterise passing such as time scheduling, plan of study, group and peer support, goal oriented selective mastery learning and effort regulation to task difficulty. The two groups of passers also identified that the chief cause of failure to be ‘gross lack of knowledge’ and ‘unpreparedness’. Implementing a composite tool to assess ‘exam preparedness’ we propose, would help the learners and teachers to skim for predictable factors (metacognitive self-regulation, self-efficacy, conscientiousness) that influence the chances of success.
As teachers, we would agree that the students who are relatively more prepared, tend to seek and receive more faculty support, while those who are trailing, continue to distance themselves with the divide getting more distinct nearer to the examinations. Identifying this discrepancy early, while predicting and preventing failure in high-stakes examinations, we propose, needs in-depth understanding of ‘exam preparedness’. Using the ‘exam preparedness’ scale might help to identify the postgraduates with academic difficulty, thereby offering a support system, wherein we don’t lose some ‘Good Samaritans’ who are just not ‘exam ready’.
Notes on Contributors
Dr Balakrishnan Ashokka is an Anaesthesiologist & Educationalist with special interest in Simulation-based postgraduate education at National University Health System, Singapore. He conceived the idea of the study, performed literature search, conducted the study, and drafted the manuscript of the study. He agrees fully to the final version of manuscript.
Prof Lee Tat Leang has been involved in Undergraduate and Postgraduate teaching and examination processes over 30 years at the National University of Singapore. He provided support during conceptualisation, discussion of results and creation of the manuscript. He fully agrees to the final version of the manuscript.
Dr Daniëlle M.L. Verstegen has a background in Cognitive Science and Instructional Science. She currently leads an e-learning group in the Department of Educational Development and Research, FHML, Maastricht University. She supervised the conduct of the entire study, qualitative analysis and agrees fully to the final version of the manuscript.
Ethical Approval
The National University of Singapore, Institute Review Board (NUS-IRB) provided the ethics committee approval for the conduct of study on passers of the examination (NUS-IRB approval number NUS 1946, reference code 13-276). No audio or video recording or discussions with failed students was permitted as per the directorate’s policy of research on exam candidates.
Data Availability
The study data with summarised, deidentified data synthesis is provided in tables 1-3 in this manuscript. The NUS-IRB and DGMS had provided approval for the study with a clause for private storage of study data with authors’ password-protected workstation. No permission was granted for open access platforms, as the data contained sensitive information about failed candidates.
Acknowledgement
The authors acknowledge the anaesthesia postgraduates who participated in this study, offering their valuable time and effort.
Funding
No funding was received for the conduct of the study.
Declaration of Interest
The authors declare that there are no financial or non- financial competing conflicts of interests.
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*Dr Balakrishnan Ashokka
Department of Anaesthesia,
National University Hospital,
5 Lower Kent Ridge Road
Singapore 119074.
Tel: +6597118855
Fax: +6567775702
Email: ashokkab@gmail.com
Submitted: 16 January 2021
Accepted: 17 May 2021
Published online: 5 October, TAPS 2021, 6(4), 65-79
https://doi.org/10.29060/TAPS.2021-6-4/OA2447
Yee Cheun Chan1, Chi Hsien Tan1 & Jeroen Donkers2
1Department of Medicine, National University Health System, Singapore; 2Department of Educational Development and Research, Faculty of Health, Medicine and Life Sciences, Maastricht University, Netherlands
Abstract
Introduction: Reflection is a critical component of learning and improvement. It remains unclear as to how it can be effectively developed. We studied the impact of reflective writing in promoting deep reflection in the context of learning Accreditation Council for Graduate Medical Education (ACGME) competencies among residents in an Internal Medicine Residency programme.
Methods: We used a convergent parallel mixed-methods design for this study in 2018. We analysed reflective writings for categories and frequencies of ACGME competencies covered and graded them for levels of reflection. We collected recently graduated residents’ perceptions of the value of reflective writings via individual semi-structured interviews.
Results: We interviewed nine (out of 27) (33%) participants and analysed 35 reflective writings. 30 (86%) of the writings showed a deep level (grade A or B) of reflection. Participants reflected on all six ACGME competencies, especially ‘patient care’. Participants were reluctant to write but found benefits of increased understanding, self-awareness and ability to deal with similar future situations, facilitation of self-evaluation and emotional regulation. Supervisors’ guidance and feedback were lacking.
Conclusion: We found that a reflective writing programme within an Internal Medicine Residency programme promoted deep reflection. Participants especially used self-reflection to enhance their skills in patient care. We recognised the important role of mentor guidance and feedback in enhancing reflective learning.
Keywords: Reflective Writing, ACGME Competencies, Internal Medicine, Residency
Practice Highlights
- Reflection is a critical component of learning and improvement.
- Written reflections offer theoretical advantages over other forms of reflections in requiring more commitment and ownership of experience, promoting critical thinking and offering more opportunities for feedback.
- Written reflections can be a record for mentored reflection, included in a portfolio, used in ongoing self-assessment and longitudinal integration of learning.
- Practitioners reported benefits of increased understanding, self-awareness and ability to deal with similar future situations, facilitation of self-evaluation and emotional regulation.
- Supervisors’ guidance and feedback are important for enhancing reflective learning.
I. INTRODUCTION
Medical competencies are developed through experience and application, not just knowledge acquisition (Frank et al., 2010). Kolb (1984) conceptualises experiential learning in a four-stage cyclical process. An experience triggers a reflection on that experience that leads to the formation of abstract concepts and generalisations. These are then tested in future situations, resulting in new experiences. Reflection is an essential aspect of the learning experience. It remains unclear how it can be developed most effectively.
Reflection is a complex concept that has been defined in several ways. One definition describes it as the process of engaging self in attentive, critical, exploratory, and iterative interactions with one’s thoughts and actions, and their underlying conceptual frame, with a view on the change itself (Nguyen et al., 2014). Thus, reflection has an iterative dimension which describes a cyclic process with phases triggered by experience, which produces new understanding, and then an intention to act differently in future encounters of similar experience (Mann et al., 2009). There is also a vertical dimension correlating to the depth of reflection. The surface levels are more descriptive and less analytical than the deeper levels. For example, Boud et al. (1985) described iterative phases of returning to experience, attending to feelings, re-evaluation of experience and outcome/resolution. Mezirow (1991) described increasing depth of reflection as habitual action, thoughtful action/understanding, reflection, critical reflection. Evidence suggests that deeper levels of reflections are associated with deep approaches to learning (Leung & Kember, 2003).
Reflective writing is a commonly utilised method in developing reflective learning but evidence for its value remains limited. Theoretically, written reflections offer advantages over other types of reflections e.g. verbal discussions. Creating an artefact by writing involves a commitment to learning, ownership of experience, promotes critical thinking and offers more opportunities for feedback (Aronson, 2011). The writings can be a record for mentored reflection, included in a portfolio, used in ongoing self-assessment and longitudinal integration of learning. A systematic review (Winkel et al., 2017) looking at the impact of reflection in graduate medical education found only three studies (Epner & Baile, 2014; Levine et al., 2008; Winkel et al., 2010) that involved reflective writings. Levine et al. (2008) found that the process of narrative writings encouraged deepening of reflection leading to reconsideration of core values and priorities, improved self-awareness, provided an emotional outlet and motivation to improve. However, the study did not formally gauge the depth of reflections in the writings.
We aimed to further study the impact of reflective writing in promoting reflection and the learning of medical competencies. Better understanding this will guide the development of reflective learning skills in training programmes for medical trainees.
A. Research Question
Does reflective writing promote deep reflection in the context of learning core competencies defined by the Accreditation Council for Graduate Medical Education (ACGME) (Accreditation Council for Graduate Medical Education, 2013)?
II. METHODS
A. Research Paradigm and Design
Our study adopted a phenomenological approach. We used a convergent parallel mixed-methods design (Figure 1). Quantitative data included the tabulation of the categories of ACGME competencies and the frequency they were covered in the reflective writings. Quantitative scoring of levels of reflections in the reflective writings was done using two grading scales. Qualitative data included graduates’ perceptions of the value and effects of reflective writings on learning ACGME competencies. The quantitative and qualitative data were analysed, compared and related together to answer the research question.

Figure 1. Convergent parallel mixed-methods design to study the role of reflective writing in promoting reflective learning of ACGME competencies
B. Study Setting and Subjects
The study setting was the Internal Medicine Residency of a single tertiary university hospital in 2018. We have used reflective writing as a tool for developing reflective learning and practice in our Internal Medicine Residency. Our programme has a competency-based curriculum using the ACGME framework. Residents are encouraged to write their reflections on how an encounter or situation helped them develop one or more of the competencies. They are required to include at least two such reflective writings in their portfolio each year. The reflective writings are not graded but are read by the residents’ supervisors as part of their portfolio’s content during regular reviews and by the competency review committee during 6-monthly meetings. They provide insight into the residents’ competencies development.
We invited all past residents (27) who graduated from the programme one year earlier to participate. We used a convenience sampling method. We determined the final number of participants after data saturation was reached in the analysis of the collected qualitative data.
The study was approved by the National Healthcare Group Domain Specific Review Board (NHG DSRB) (Reference number: 2017/01219). We obtained informed consent from each participant.
C. Data Collection
We collected and analysed reflective writings from the participants’ three years of residency. We used individual semi-structured interviews to gather participants’ perceptions to avoid bias from others’ opinions. One researcher (YCC) conducted, recorded and transcribed the interviews. Box 1 shows the main questions that were asked. An interactive approach was used, and interviews conducted till thematic saturation was reached.

Box 1. Main questions asked during interviews
D. Data Analysis
Reflective writings from participants were analysed for the categories as well as frequencies of ACGME competencies covered. They were graded for levels of reflection using grading rubrics. To reduce possible interpretation bias or conflicts related to confidentiality and power relationships, grading was done by an ‘external’ co-researcher (CHT) who was a faculty member of the Neurology residency programme. Two grading scales were used. The first (Box 2) had a simple grading scale from A to F (Moon, 2004). The other grading rubric provided more categorical details and was based on that used by Tsingos et al. (2015) (Supplementary Table 1). The rubric graded the reflective writings on seven stages of reflection based on the model by Boud et al. (1985) and categories of non-reflector, reflector or critical reflector according to Mezirow’s model (Mezirow, 1991). The co-researcher read through each reflective writing and first determined if stages of ‘returning to experience’, ‘attending to feelings’, ‘association’, ‘integration’, ‘validation’, ‘appropriation’ and ‘outcomes of reflection’ were present. He then assessed if the written content related to these stages fit the descriptors for non-reflector, reflector or critical reflector as given in the rubric. Finally, he graded the reflective writing on the simple grading scale of A to F according to the descriptors given (Box 2).

Qualitative data from interviews were transcribed in full, coded and thematically analysed (Braun & Clarke, 2006). Coding and analysis were independently done by two researchers (YCC, CHT) before discussions to reach consensus. Each interview was analysed after its completion and before subsequent interviews. Thematic saturation was determined by the absence of any new themes emerging from the analysis of the previous three interviews. This was reached after six interviews. Three further interviews were conducted after that. The participants were asked if the results of the thematic analysis were a fair interpretation of the discussions. Peer debriefing processes were employed to enhance the validity of the study. Validity was enhanced by triangulation of quantitative and qualitative data.
III. RESULTS
A. Demographic Data
There were nine participants in the study. This represented 33% of the study population (27). There were five males and four females. Five were Singaporean. The other four were from Sri Lanka, Malaysia, Hong Kong in China and Myanmar. Five attended undergraduate medical school in Singapore, two in Australia, one in the United Kingdom and one in Myanmar. One participant, age 45, was more than ten years older than the others. The mean age of the other eight participants was 29.4 years, with ages ranging from 27 to 32. Apart from the oldest participant, the others were between four to seven years post medical school graduation. The gender ratio of the participants is similar to that of the study population while the proportion of international graduates among the participants was higher (44% vs 30%).
B. Grading of the Reflective Writings
35 reflective writings were reviewed, with a range of 2 to 8 writings from each participant. The number of writings was less than the expected minimum number of 6 for some participants because of ‘exemptions’ made for various reasons at certain points in the course of the 3 years of residency. These included periods away on electives or ‘substitution’ with audits, quality improvement projects etc.
On the grading scale of A to F (Box 2), 30 (86%) of the writings were graded A or B. 4 (11%) were graded C while 1 (3%) was graded D. 13 (81%) of writings done in the first year of residency were graded A or B. For those written in the second and third year of residency, the corresponding numbers were 7 (88%) and 10 (91%) respectively. With only one exception, all writings involved all seven phases of reflection based on the model by Boud et al. (1985). The exceptional piece did not include the phase of ‘association’. The results are described in Table 1.






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Table 1. Tabulation of competencies covered and grading of reflection level in writings
The writings covered all six ACGME competencies. Patient care was discussed in 31 (89%) of the writings. Medical knowledge, professionalism and communications were discussed in 19 (54%), 18 (51%) and 17 (49%) of the writings respectively while system-based practice and problem-based learning and improvement were discussed in 12 (34%) and 10 (29%) of the writings respectively.
C. Thematic Analysis of Interviews
Thematic analysis of the interviews revealed five themes relevant to the research question: (1) effect of the writings in motivating reflections on practice, (2) did the writings facilitate feedback or other learning activities, (3) perceived value of the writings, (4) limitations of the writing programme and (5) possible improvements or alternatives for the writing programme. These are discussed below. The anonymised interview transcripts are available on Figshare (Chan, 2021).
1) Effect of the writings in motivating reflections on practice: All residents conveyed that the main reason they did the writings was because it was a requirement that needed to be fulfilled (Supplementary table 2, A1). All, except one, did the writings just before the six-monthly deadlines (Supplementary Table 2, A2). The one exception usually wrote learning encounter diaries (LEDs) soon after significant events. Though reluctant, most residents were not resentful towards writing as it was deemed not difficult to do and they recognise, to varying extent, some value in doing it (Supplementary Table 2, A3).
Residents described having written on a wide variety of topics. These included reflections about patient care; diagnostic and management dilemmas, ethical issues, communication difficulties, professionalism, safety or inefficiencies in system practices and audit or quality improvement projects. All chose events or encounters that were atypical or non-routine. They used words like ‘special’, ‘interesting’, ‘stand out’, ‘struck my mind’, ‘memorable’, ‘stuck in my mind’ to describe such events or encounters (Supplementary Table 2, A4). Some of these events or encounters affected their emotions and were described as ‘emotionally-tied’, ‘traumatising’ or induced a sense of ‘helplessness’ (Supplementary Table 2, A5).
One was candid in expressing disinterest in the whole exercise (Supplementary Table 2, A6). A few residents felt that the writings involved only recollection of events (Supplementary Table 2, A7). However, most participants believed that the process of writing LEDs promoted additional reflections.
2) Did the writings facilitate feedback or other learning activities: The LEDs were part of the documents reviewed during formal 6-monthly progress review meetings between residents and supervisors. The amount of time spent discussing the contents of the LEDs, as well as residents’ value perception of such discussions varied. However, in general, they were considered of limited value, due to lack of time, supervisors’ disinterest, poor appreciation of or lack of connection with the events. Discussions at a proximate time to the event occurrence and feedback by peers or seniors involved in or familiar with the events or encounters were deemed more useful (Supplementary Table 2, B1).
Apart from reviewing the LEDs with supervisors, there was little that occurred after or as a result of the writings. One remembered that the writings triggered emotions. Another remembered an instance where he was prompted to research and learn more about the topic he wrote about after the writing. It was not common for residents to re-read the LEDs after writing them. In the few instances where this occurred, residents reported that there were some self-evaluation of change and progress in the time elapsed (Supplementary Table 2, B2).
3) Perceived value of the writings: Many residents said reflective writings helped increased self-awareness, recollection, reorganisation and consolidation of thoughts. The writings also served as records for facilitating self-evaluation and references for informing future actions (Supplementary Table 2, C1). A few also spoke about the writing being therapeutic, providing ‘emotional release’ and ‘closure’ to traumatising experiences (Supplementary Table 2, C2).
One resident offered that the LEDs provided him with a good means of communication with his supervisors. As he found it easier to write than to verbally describe, writing the LEDs helped him elicit feedback from his supervisor about the scenarios that he experienced (Supplementary Table 2, C3).
4) Limitations of the writing programme: Several residents pointed out limitations of the writing programme. There may be reluctance to share honestly in the writings for fear of embarrassment or creating a ‘bad impression’. A few felt that reflections can take place without the need for writing. Another opined that reflecting on unpleasant experiences may trigger unwanted emotions (Supplementary Table 2, D1).
5) Possible improvements or alternatives for the writing programme: Residents understood that potential benefits can only be fully realised if reflective writings become ‘routine process’, or ‘habit’ (Supplementary Table 2, E1). Residents also believed that discussions with and feedback from seniors enhance the value of self-reflection in reflective writing or may even replace the need for reflective writings. For such discussions to be useful, they need to occur soon after the events. Sufficient time, interest in participation and trust of confidentiality are also necessary (Supplementary Table 2, E2).
Instead of writing with pen and paper, reflections and discussions on digital platforms; blogging and group discussions online through a portal were suggested by some residents (Supplementary Table 2, E3).
IV. DISCUSSION
In our study, participants demonstrated deep levels of reflection in their writings, despite being reluctant with the task. They wrote on encounters they considered meaningful and covered all of the ACGME competencies. Evidence from the interviews suggested that the writings may not have taken place if they were not mandated. It was also likely that reflections on the topics written about would then not reach similar levels of depth. The percentage of writings with high grades (A and B) for the level of reflection was higher for writings done in year 3 than in year 1 (91% vs 81%) but the numbers were too small for any meaningful comparison to see if reflection depth improved in individuals over the years.
Given the freedom to choose what they write reflections on, our participants reflected most about patient care in their writings. System-based practice and problem-based learning and improvement were covered only in less than a third of the writings. This may reflect differential emphasis that the residents put on the different competencies. At the same time, there is evidence that diagnostic reasoning of complex and unusual cases can be improved by reflection (Mamede & Schmidt, 2017). Our residents may have intuitively recognised this and chose to reflect mainly on diagnostic and management dilemmas in patient care: ‘patients who are a little bit more special, either in terms of their presentations not being the most obvious, or patients who present with a diagnostic or management dilemma.’ (R1), ‘either difficult scenarios I’ve seen or interesting medical scenarios’ (R3). It is possible that our participants wrote less about system-based practice and problem-based learning and improvement because there were many alternative learning activities such as root-cause analysis discussions or participating in quality improvement projects.
The participants reported that the writings resulted in better understanding and increased ability to deal with similar encounters in the future. They also expressed other benefits such as increased self-awareness, facilitation of self-evaluation and having served as a method of coping with emotionally-charged encounters.
We had not provided specific training or detailed instructions on reflective writing for our residents. There was only general guidance that they should review prior experiences in order to learn from them. Nevertheless, our residents did not express difficulty in doing the reflective writings. There were a few possible reasons for this. Firstly, it was likely that the concept of reflective learning had been taught during undergraduate medical education. Secondly, the presence of the three sections with ‘prompt title/questions’: ‘scenario’, ‘what I have learnt from this’ and ‘what would I do differently in future’ provided some guidance. Thirdly, the residents were working in an environment where reflective learning and practice was part of daily practice and likely learned aspects of these in the process; they participated in root-cause analyses for incidents of medical error or adverse events and attended courses that teach clinical practice improvement methodology.
Reflective writing involves mainly self-reflection after an event. Learning is limited if the written self-reflection is not accompanied by discussion and feedback from peers or mentors (Sandars, 2009). Our study found that there was little guidance from supervisors on reflective techniques and limited feedback for the content of reflective writings. Several reasons emerged. Time was limited during scheduled supervisor-resident meetings and the reflective writings were only part of several documents reviewed by the supervisors. Supervisors were generally not involved in the events described and unfamiliar with the situational contexts. Residents’ interest in feedback on the events had also declined due to the lapse of time since the occurrences.
Literature shows that self-assessment is often inaccurate (Eva & Regehr, 2008). Feedback from others can provide multiple perspectives on experience, support integration of affective and cognitive experience and discourage uncritical acceptance of experience. Feedback from supervisors is not limited to the content of a reflection but should include the resident’s reflective skills as well. There had not been emphasis placed on teaching reflective techniques to residents. Supervisors can point out assumptions in the reflections, offer alternative interpretations and ask for clarifications of reasoning, omissions and conclusions. Faculty training for supervisors would be necessary to enable them to do these well.
Other limiting factors were discussed during the interviews. One participant expressed a reluctance to write honestly about incidents that showed one’s deficiencies for fear of giving a ‘bad impression’. This may reflect the resident’s goal orientation towards performance rather than mastery, the lack of a formative learning environment or inadequate trust towards a supervisor. Another participant pointed out the potential for reflection on events to trigger unwanted emotions. This highlighted the need for establishing in advance a plan for appropriate actions to ensure privacy and support for distressed residents.
A. Limitations of this Study
Our study described the outcomes from a programme of reflective writings in one institution. Differences in contextual factors may limit the transferability of our experience to settings elsewhere. Voluntary participation in this study may have resulted in a small, self-selected group of participants with strong opinions towards reflective writings. With graduates of the residency as participants, obtained opinions were based on memories that may have been altered by time and circumstances. Even though the writings were not included for any summative assessments, some participants may not have written accurate accounts of their thoughts and emotions due to concerns of creating a ‘bad impression’.
V. CONCLUSION
Our study found that a programme of reflective writings promoted deep reflection, with participants focusing especially on self-reflection to enhance their diagnostic and management skills in patient care. In general, the writings led to increased understanding, self-awareness and ability to deal with similar future situations. It also facilitated self-evaluation and emotional regulation. The important role of supervisor guidance and feedback in enhancing reflective learning was recognised. Providing this would require investment in faculty training, time resources and commitment of supervisors.
Notes on Contributors
YCC reviewed the literature, designed the study, conducted interviews, analysed interview transcripts and wrote the manuscript. CHT analysed and graded the reflective writings, analysed interview transcripts and developed the manuscript. JD advised on the design of the study and developed the manuscript. All the authors have read and approved the final manuscript.
Ethical Approval
The study was approved by the National Healthcare Group Domain Specific Review Board (NHG DSRB) (Reference number: 2017/01219).
Data Availability
The anonymised interview transcripts are available on Figshare (Chan, 2021). To protect the confidentiality of the participants, the reflective writings cannot be shared.
Acknowledgements
We thank Ms Jocelyn Chan and Ms Alicia Chan for their assistance in transcribing the interviews.
Funding
No funding was received for this research study.
Declaration of Interest
YCC is a core faculty member of the Internal Medicine Residency Programme. To reduce possible bias or conflicts related to confidentiality and power relationships, grading of reflective writings was done by CHT, who is not a faculty member of the programme. There are no other conflicts of interest.
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*Chan Yee Cheun
1E Kent Ridge Road
NUHS Tower Block, Level 10
Singapore 119228
Tel: +65 67795555
Email: yee_cheun_chan@nuhs.edu.sg
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