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Reducing Falls Among Community-Dwelling Older Adults From Clinicians' Perspectives: A Systems Modeling Approach
Vanessa Jean Wen Koh1,2, David B Matchar1,3, Angelique Wei-Ming Chan1,2
1Programme in Health Services and Systems Research (HSSR), Duke-NUS Medical School, Singapore, Singapore.
Implementing fall prevention programs for older adults faces challenges. Key factors influencing success involve healthcare provider referrals and patient acceptance, highlighting areas for improved interventions and collaboration.
Area of Science:
- Gerontology
- Public Health
- Implementation Science
Background:
- Falls in older adults represent a global health concern.
- Multicomponent fall prevention programs show effectiveness in trials but face implementation challenges in community settings.
- Limited research exists on implementation barriers in Asian contexts.
Purpose of the Study:
- To identify factors facilitating or inhibiting community-based fall prevention programs in Singapore.
- To explore the interrelationships between these implementation factors.
- To address the gap in Asian-centric research on fall prevention implementation.
Main Methods:
- Engaged healthcare professionals familiar with fall prevention programs.
- Utilized Group Model Building (GMB), a systems modeling methodology.
- Developed a Causal Loop Diagram (CLD) to visualize dynamic relationships.
Main Results:
- Implementation is driven by healthcare provider factors (referrals) and patient factors (acceptance, adherence).
- Identified key leverage points for targeted interventions.
- A qualitative conceptual model of barriers and facilitators was created.
Conclusions:
- Emphasized enhanced coordination and collaboration among providers for sustainable programs.
- Recommended a national effort with a multidisciplinary stakeholder advisory group.
- Findings offer guidance for future fall prevention strategies.
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