Affiliations 

  • 1 Duke-NUS Medical School, Programme in Health Services and Systems Research, 8 College Road, Singapore, 169857, Singapore. laiweixuan@u.duke.nus.edu
  • 2 Centre for Ageing Research and Education, Duke-NUS Medical School, Singapore, Singapore
  • 3 Duke-NUS Medical School, Programme in Health Services and Systems Research, 8 College Road, Singapore, 169857, Singapore
  • 4 Center for Community Health Integration, Case Western Reserve University, Cleveland, OH, USA
  • 5 Department of Geriatric Medicine, Changi General Hospital, Singapore, Singapore
  • 6 Department of Continuing and Community Care, Tan Tock Seng Hospital, Singapore, Singapore
  • 7 Geriatric Education and Research Institute, Singapore, Singapore
  • 8 Health & Social Sciences Cluster, Singapore Institute of Technology, Singapore, Singapore
  • 9 Department of Medicine, National University Hospital, Singapore, Singapore
  • 10 Ageing and Age-Associated Disorders Research Group, Health and Translational Medicine Cluster, University of Malaya, Kuala Lumpur, Malaysia
BMC Geriatr, 2023 Sep 22;23(1):586.
PMID: 37740182 DOI: 10.1186/s12877-023-04294-2

Abstract

BACKGROUND: Falls in older adults are the result of a complex web of interacting causes, that further results in other physical, emotional, and psychological sequelae. A conceptual framework that represents the reciprocal dynamics of these causal factors can enable clinicians, researchers, and policymakers to clarify goals in falls intervention in older adults.

METHODS: A Group Model Building (GMB) exercise was conducted with researchers and clinicians from academic units and public healthcare institutes in Singapore. The aim of the exercise was to produce a shared visual representation of the causal structure for falls and engage in discussions on how current and future falls intervention programmes can address falls in the older adults, especially in the Asian context. It was conducted in four steps: 1) Outlining and prioritising desirable patient outcomes, 2) Conceptual model building, 3) Identifying key intervention elements of effective falls intervention programmes, 4) Mapping of interventions to outcomes. This causal loop diagram (CLD) was then used to generate insights into the current understanding of falls causal relationships, current efforts in falls intervention in Singapore, and used to identify gaps in falls research that could be further advanced in future intervention studies.

RESULTS: Four patient outcomes were identified by the group as key in falls intervention: 1) Falls, 2) Injurious falls, 3) Fear of falling, and 4) Restricted mobility and life space. A CLD of the reciprocal relationships between risk factors and these outcomes are represented in four sub-models: 1) Fear of falling, 2) Injuries associated with falls, 3) Caregiver overprotectiveness, 4) Post-traumatic stress disorder and psychological resilience. Through this GMB exercise, the group gained the following insights: (1) Psychological sequelae of falls is an important falls intervention outcome. (2) The effects of family overprotectiveness, psychological resilience, and PTSD in exacerbating the consequences of falls are not well understood. (3) There is a need to develop multi-component falls interventions to address the multitude of falls and falls related sequelae.

CONCLUSION: This work illustrates the potential of GMB to promote shared understanding of complex healthcare problems and to provide a roadmap for the development of more effective preventive actions.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.