Falls and Falls Prevention in Singapore: Policy Insights From a Dynamic Simulation Model
Vanessa Koh, John Ansah, Angelique Chan, David Matchar

TL;DR
This paper uses a simulation model to explore how Singapore can effectively prevent falls among older adults through a national strategy.
Contribution
The study introduces a systems dynamics model to identify bottlenecks and optimal strategies for falls prevention in Singapore.
Findings
Investing in screening and primary prevention programs improves health outcomes within 5-10 years.
Engaging older adults and expanding service capacity are key to optimizing falls prevention.
A coordinated, resource-optimized approach is needed for effective national falls prevention.
Abstract
Falls among older adults have complex etiologies, requiring a multi-system approach for effective prevention. In Singapore, 85% of geriatric trauma cases presented in the emergency department result from falls. While multi-component falls prevention programs demonstrate evidence in reducing falls, their implementation remains challenging. Currently, Singapore lacks a national strategy to tackle falls, hence this study examines how such a strategy should be implemented to significantly avert falls. A Systems Dynamics model was developed to simulate the current reality of falls among older adults in Singapore. The model represents the resident population, patient-care continuum of falls prevention and capacity for screening and prevention services. Through different policy experiments, we aim to provide policy insights into the bottlenecks for intervention, and a combination of strategies…
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Taxonomy
TopicsBalance, Gait, and Falls Prevention · Injury Epidemiology and Prevention · Cerebral Palsy and Movement Disorders
