Evaluating the Prognostic and Clinical Validity of the Fall Risk Score Derived From an AI-Based mHealth App for Fall Prevention: Retrospective Real-World Data Analysis
The FRS exhibits good prognostic validity for predicting future falls, particularly in specific subgroups. The findings support a stratified fall risk assessment approach and emphasize the significance of early and personalized intervention. This study contributes to the knowledge base on fall risk, despite limitations such as demographic focus and potential assessment interval variability.
Authors
- André Baumgart (ORCID: https://orcid.org/0000-0002-5283-5566)
- Sónia A. Alves (ORCID: https://orcid.org/0000-0001-6053-3720)
- Seyedamirhosein Motamedi (ORCID: https://orcid.org/0000-0002-6897-5387)
- Wolfgang Pommer (ORCID: https://orcid.org/0000-0001-6057-1874)
- J. Zeichen (ORCID: https://orcid.org/0000-0003-0411-9933)
- Steffen Temme
- Marie Kura (ORCID: https://orcid.org/0009-0002-7002-8474)
- Sebastian Weber
Institutions
- Heidelberg University (DE)
- University Hospital Heidelberg (DE)
- Berliner Energieagentur (Germany) (DE)
- University Medical Centre Mannheim (DE)
- Johannes Wesling Klinikum Minden (DE)
- Charité - Universitätsmedizin Berlin (DE)
Publication Details
- Journal
- JMIR Aging
- Published
- 2024-12-04
- DOI
- https://doi.org/10.2196/55681
- Citations
- 5
- Primary Topic
- Balance, Gait, and Falls Prevention
- Type
- article
- Field-Weighted Citation Impact
- 5.72