Background and Objectives Falls among older adults are a significant health problem globally. Studies of multicomponent fall prevention programmes in randomised controlled trials demonstrate effectiveness in reducing falls, however, the translation of research into the community remains challenging. While there is an increasing interest to understand the factors contributing to implementation barriers, the dynamic relationships between factors are less well examined. Furthermore, evidence on implementation barriers from Asia is lacking as most of these studies originate from the West. As such, this study aims to engage stakeholders in uncovering the factors that facilitate or inhibit implementing community-based fall prevention programmes in Singapore, with a focus on the inter-relationship between those factors. Research Design and Methods Healthcare professionals familiar with fall prevention programmes were invited to discuss the enablers and challenges to the implementation. This effort was facilitated using a systems modelling methodology of Group Model Building (GMB), to share ideas and to create a common conceptual model of the challenges. The GMB employs various engagement techniques to draw on the experiences and perceptions of all stakeholders involved. Results This process led to the development of a Causal Loop Diagram (CLD), a qualitative conceptual model of the dynamic relationships between the barriers and facilitators of implementing fall prevention programmes. Results from the CLD show that implementation is influenced by two main drivers: healthcare provider factors that influenced referrals, and patient factors that influenced referral acceptance and long-term adherence. Key leverage points for potential interventions were identified as well. Discussion and Implications The overall recommendation emphasised closer coordination and collaboration across providers to ensure sustainable and effective community-based fall prevention programmes. This has to be supported by a national effort, involving a multidisciplinary stakeholder advisory group. These findings generated would be promising to guide future approaches to fall prevention.

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