Research

In NUS Nursing, we believe research and learning are in parallel and can complement to each other. Our faculty strives to conduct impactful research and high-quality teaching to transform the clinical practice and improve health around the world.

Our research at NUS nursing has been excellent in the following five programmes:

  • Chronic Illness and Long-term Care programme establishes a research focus to not only add years to life, but life to years.
  • Education Innovation programme seeks collaborative research in nursing education and innovative approaches for excellence in teaching and learning.
  • Geriatric Care and Wellness programme develops interventions and delivers education to promote healthy aging and community care for elderly.
  • Patient Safety and Quality Care focuses on the clinical deterioration, collaborative practice, and nursing workforce development.
  • Women and Children Health Care focuses primarily on the health issues among pregnant women, infant, and young children.

Director of Research

Assoc Professor Tam Wai San, Wilson

B.Sc., M.Phil. (HKU), PhD (CUHK)

Relevant Categories
Chronic Illness and Long-term Care
Cardiovascular Diseases
Mental Health
Metabolic Disorders
Terminal Illness
Education Innovation
Inter-Professional Education
Nursing Education
Simulation and Technology
Geriatric Care and Wellness
Community Care
End-of-life Care
Healthy Aging
Patient Safety and Quality Care
Clinical Deterioration
Collaborative Practice
Workforce and Competency
Women and Children Health Care
Children and Parenting
Perinatal Care
Women’s Well-being
Student Publication
Honour students
Post-graduate students

Publications

  • Chua, W. L., Tee, A., Hassan, N. B., Jones, D., Tam, W., & Liaw, S. Y. (2021). The development and psychometric evaluation of the Clinicians' Attitudes towards Responding and Escalating care of Deteriorating patients scale. Australian critical care : official journal of the Confederation of Australian Critical Care Nurses, 34(4), 340–349. https://doi.org/10.1016/j.aucc.2020.08.008
  • Goh, Y. S., Ow Yong, Q., Soo, S. C., Wan, P., & Ng, V. (2022). Experiences and challenges faced by community mental health workers when providing care to people with mental health conditions: A qualitative descriptive study. International journal of mental health nursing, 31(3), 591–600. https://doi.org/10.1111/inm.12977
  • Ho, P. J., & Goh, Y. S. (2022). Health care professionals and care staff challenges and experiences of managing sexual expression among older adults ≥60 years in long-term care facilities: a qualitative review and meta-synthesis. Age and ageing, 51(1), afab230. https://doi.org/10.1093/ageing/afab230
  • Jiang, Y., Ramachandran, H. J., Teo, J., Leong, F. L., Lim, S. T., Nguyen, H. D., & Wang, W. (2022). Effectiveness of a nurse-led smartphone-based self-management programme for people with poorly controlled type 2 diabetes: A randomized controlled trial. Journal of advanced nursing, 78(4), 1154–1165. https://doi.org/10.1111/jan.15178
  • Liaw, S. Y., Sutini, Chua, W. L., Tan, J. Z., Levett-Jones, T., Ashokka, B., Te Pan, T. L., Lau, S. T., & Ignacio, J. (2022). Desktop Virtual Reality Versus Face-to-Face Simulation for Team-Training on Stress Levels and Performance in Clinical Deterioration: a Randomised Controlled Trial. Journal of general internal medicine, 1–7. Advance online publication. https://doi.org/10.1007/s11606-022-07557-7
  • Shorey, S., Chan, V., & Lalor, J. G. (2022). Perceptions of women and partners on labor and birth positions: A meta-synthesis. Birth (Berkeley, Calif.), 49(1), 19–29. https://doi.org/10.1111/birt.12574
  • Wang, H., Chen, Y., Lin, Y., Abesig, J., Wu, I. X., & Tam, W. (2021). The methodological quality of individual participant data meta-analysis on intervention effects: systematic review. BMJ (Clinical research ed.), 373, n736. https://doi.org/10.1136/bmj.n736
  • Woo, B., Zhou, W., Lim, T. W., & Tam, W. (2020). Registered nurses' perceptions towards advanced practice nursing: A nationwide cross-sectional study. Journal of nursing management, 28(1), 82–93. https://doi.org/10.1111/jonm.12893
  • Zheng, Q. X., Wang, H. W., Jiang, X. M., Lin, Y., Liu, G. H., Pan, M., Ge, L., Chen, X. Q., Wu, J. L., Zhang, X. Y., Pan, Y. Q., & He, H. G. (2022). Prepregnancy body mass index and gestational weight gain are associated with maternal and infant adverse outcomes in Chinese women with gestational diabetes. Scientific reports, 12(1), 2749. https://doi.org/10.1038/s41598-022-06733-3