About the Speaker

Associate Professor Gerald Koh 

Associate Professor
Saw Swee Hock School of Public Health
National University Health System

Dr Gerald Koh is currently an Associate Professor and Director of Medical Undergraduate Education at Saw Swee Hock School of Public Health, and Joint Associate Professor at Dean’s Office, Yong Loo Lin School of Medicine, National University of Singapore, National University Health System. A medical doctor, he obtained his Masters in Family Medicine in 2000 and Fellowship in Family Medicine in 2003. He developed an interest in community geriatrics and geriatric rehabilitation, and obtained a Graduate Diploma in Geriatric Medicine from NUS in 2002, a Masters in Gerontology and Geriatrics from the European Institute of Gerontology at the University of Malta in 2009. He obtained his PhD in Family Medicine from Western University, Canada in 2012. 

He currently teaches family medicine, epidemiology and public health to undergraduate and postgraduates. His research interests include stroke, geriatric and tele-rehabilitation. He received both the NUS Faculty Teaching Excellence Award and the University Teaching Excellence Award in 2009, and the College of Family Physicians (Singapore) Teachers’ Award in 2005 and Distinguished Educator Award in 2015, and the NUS and Faculty Outstanding Educator Award in 2016. To date, he has published over 120 research papers, including Journal of American Medical Association, Stroke and Archives of Physical Medicine and Rehabilitation. He also has obtained research grants amounting to over S$3.6 million as Principal Investigator and S$8.6 million as Co-Investigator. 

He is also currently Senior Consultant for Agency for Integrated Care, Consultant for Ministry of Health’s Policy Research and Economics Office and Visiting Consultant for Ang Mo Kio Thye Hua Kwan Hospital.            


Track 6: Disability and Rehabilitation in Singapore: The Landscape and National Rehabilitation Initatives
Disability Prevalence, Recovery Trajectories and Comparative Rehabilitation Outcomes in Singapore: What We Know, What We Don't Know and What We Need to Bridge the Knowledge Gap
Date  :  Friday, 8 September 2017
Time  :  0830
Venue  :   Auditorium
Abstract  :   Singapore has limited data on (1) disability prevalence rates across age groups and over time, (2) rehabilitation outcomes across settings and by diseases, or (3) a registry of disabled persons. For the first time, in December 2016, the Enabling Masterplan Committee reported that the prevalence of disability in those aged 7-18 years was 2.1%, 2.4% for those aged 18-49 years and 13.3% for those aged 50 years and above. Trends in age–standardized prevalence rates of disability are required to project rehabilitation and support service needs, especially for Singapore’s rapidly ageing population. We also need to think beyond physical disability and consider mental disability as well. Trends in rehabilitation outcomes across settings and by diseases (controlled for baseline differences in function and known non-modifiable factors) across settings (e.g. inpatient vs. outpatient), stages of recovery and by diseases are also needed. Such data are increasingly important in today’s ecosystem of value-driven outcomes and care integration. Australia and New Zealand have set up a national rehabilitation medicine clinical registry called the Australasian Rehabilitation Outcomes Centre to develop a national benchmarking system and systematically collect rehabilitation outcome information in both the inpatient and ambulatory settings. In the US, Model Systems Knowledge Transfer Centre pools rehabilitation outcome information and conducts research to improve long-term functional, vocational, cognitive, and quality-of-life outcomes in individuals with spinal cord, traumatic brain and burn injuries. For Singapore to adopt and realise the potential benefits of such data monitoring systems, we will need (1) inclusion of disability as a measure in national health surveys, (2) commonly agreed disability and rehabilitation outcome measures, (3) user-friendly electronic data entry and management systems accessible to all rehabilitation settings, (4) researchers dedicated to linking and analysing the longitudinal data regularly, and (5) engagement of all stakeholders to interpret and use the findings meaningfully.