NUS CRiHSP

Research

Developing a system for the use of natural language for the robust measurement of health-related quality of life, self-reported health and related patient reported outcome measures

Patient-reported outcome measures (PROMs) are essential tools for capturing patients’ perceptions of their health status. However, these questionnaires can be lengthy and cumbersome, as multiple assessments are required to evaluate various domains of a patient’s well-being.

The aim of this study is to develop a prediction model that uses free-text data to predict scores across multiple existing validated questionnaires. A representative sample of the Singapore population will be recruited, and free-text responses will be analyzed using machine learning techniques and mapped to their corresponding questionnaire scores.

Patient-reported outcomes, experience, and cost-effectiveness of chronic disease management in Singapore: comparing with OECD countries and providing a baseline for Healthier SG

This project will be an analysis on trends and patterns of multimorbidity in Singapore based on a questionnaire on 23 chronic conditions.

Database of validated PROMs instruments in Singapore

This project aims to summarise PROMs instruments currently being used and validated in Singapore.

Effectiveness of a Self-Administered Digital Psychological Toolkit to reducing Symptom burden and Morbidity in Dermatology Patients: a Multicentre Randomised Controlled Trial

Chronic inflammatory skin diseases, such as psoriasis and eczema, put a massive strain on patient mental health and have a significant adverse effect on their quality of life. While the importance of psychotherapeutic interventions for dermatology patients has been increasingly recognised, there is still a large treatment gap and lack of access to mental healthcare for these patients.

This Randomised Controlled Trial (RCT) aims to test the effectiveness of an app designed to help patients manage the symptom burden associated with their dermatological conditions.

Development and Pilot Implementation of an Electronic Patient Reported Outcome Measure (ePROM) system to Guide Clinical Decision Making and Improve Efficiency of Consult

This study aims to pilot the usage of electronic patient-reported outcome measures (ePROMs) to triage consultations for patients.

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Development of the WHO Patient Reported Experience Measures (PREMs) for Primary Care

Funder:                       World Health Organisation, National University of Singapore
Duration:                     2024 – 2026
Lead Investigator:     Jose M Valderas
Contributors:             Marie Ng, Wee Ling Koh

This study aims to develop and assess the metric properties of a suite of tools for measuring patient experiences of care in primary care settings.

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National burden of 12 mental disorders in member countries of the Association of Southeast Asian Nations (ASEAN): A systematic analysis of the Global Burden of disease (GBD) Study 2021

Funder:                       National University of Singapore
Duration:                     2024 – 2025
Lead Investigator:     Marie Ng
Contributors:             Jose M Valderas, Wee Ling Koh

This study aims to compare GBD indicators for mental illness in the 10 countries included in ASEAN to highlight regional and national trends as well as identify populations with particular needs. Findings from the study will be useful for policy makers, researchers, and clinicians.

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Database of Individual Patients' Experiences (DIPEx) - Colorectal Cancer (in collaboration with the NUHS Department of Family Medicine)

Funder:                       Singapore Primary Care Cancer Network (SPriNT)
Duration:                     2024
Lead Investigator:     Laurie Goldsmith
Contributors:             Jose M Valderas, Merial Maniclang

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Developing a system for the use of natural language for the robust measurement of health-related quality of life, self-reported health and related patient reported outcome measures

Funder:                       National University of Singapore
Duration:                     2024 -2026
Lead Investigator:     Jose M Valderas
Contributors:             Ellie Choi, Arivazhagan Karunakaran

This study aims to combine national language processing and IRT models to support data collection of patient reported information using free text.

Value Based Healthcare

International Comparison of
Health Systems Performance

Integrated Coordinated Care