Buchumschlag

The Development and Evaluation of the Application for Assessing the Fall Risk Factors and the Suggestion to Prevent Falls in Older Adults

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Veröffentlicht in:Informatics vol. 12, no. 2 (2025), p. 53-71
1. Verfasser: Charupa, Lektip
Weitere Verfasser: Jiamjarasrangsi Wiroj, Kaewrat Charlee, Jiraphat, Nawarat, Chadapa, Rungruangbaiyok, Mackenzie, Lynette, Voravuth, Somsak, Wannaprom Nipaporn
Veröffentlicht:
MDPI AG
Schlagworte:
Thailand
Falls
Applications programs
Telemedicine
Environmental risk
User satisfaction
Mobile communications networks
Medical personnel
Risk factors
Mobile computing
User experience
Hazard assessment
Brochures
Older people
Access control
Correlation coefficients
Electronic health records
Validation studies
Risk assessment
Data integrity
Validity
Internet access
Aging
Prevention
Reliability
Cloud computing
Self assessment
Adults
Public health
Access to information
Professionals
Real time
Relational data bases
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Abstract:Falls are a major health concern for older adults, often leading to injuries and reduced independence. This study develops and evaluates a mobile application integrating two validated fall-risk assessment tools—the Stay Independent Brochure (SIB) and the 44-question Thai Home Falls Hazards Assessment Tool (Thai-HFHAT). The app utilizes a cloud-based architecture with a relational database for real-time analytics and user tracking. In Phase 1, 30 healthcare professionals assessed the app’s technical performance and user experience using a modified System Usability Scale (SUS), achieving a high usability score of 85.2. In Phase 2, 67 older adults used the app for self-assessment, with test–retest reliability evaluated over one week. The app showed strong reliability, with intraclass correlation coefficients (ICCs) of 0.80 for the SIB (Thai-version) and 0.77 for the Thai-HFHAT. Cloud-hosted analytics revealed significant correlations between fall occurrences and both SIB (r = 0.657, p < 0.001) and Thai-HFHAT scores (r = 0.709, p < 0.001), demonstrating the app’s predictive validity. The findings confirm the app’s effectiveness as a self-assessment tool for fall-risk screening among older adults, combining clinical validity with high usability. The integration of culturally adapted tools into a cloud-supported platform demonstrates the value of informatics in geriatric care. Future studies should focus on expanding the app’s reach, incorporating AI-driven risk prediction, enhancing interoperability with electronic health records (EHRs), and improving long-term user engagement to maximize its impact in community settings.
ISSN:2227-9709
DOI:10.3390/informatics12020053
Quelle:Advanced Technologies & Aerospace Database