NUS CRiHSP

Research

CRiHSP’s research is centred around 3 core domains of health system performance:

1. Increasing accountability and feed-back on value centred performance according to the quadruple aim (population health, user experience, cost-minimisation and provider well-being) through the routine use of patient and provider reported information;
2. International comparative health systems performance assessment for identification and dissemination of best practices; and
3. Optimising core health system functions of continuity and coordination for maximising integration and minimising duplication and waste.
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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