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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| الحاوية / القاعدة: | Informatics vol. 12, no. 2 (2025), p. 53-71 |
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| المؤلف الرئيسي: | |
| مؤلفون آخرون: | , , , , , , |
| منشور في: |
MDPI AG
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| الموضوعات: | |
| الوصول للمادة أونلاين: | Citation/Abstract Full Text + Graphics Full Text - PDF |
| الوسوم: |
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MARC
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| 003 | UK-CbPIL | ||
| 022 | |a 2227-9709 | ||
| 024 | 7 | |a 10.3390/informatics12020053 |2 doi | |
| 035 | |a 3223909364 | ||
| 045 | 2 | |b d20250401 |b d20250630 | |
| 084 | |a 231473 |2 nlm | ||
| 100 | 1 | |a Charupa, Lektip |u Department of Physical Therapy, School of Allied Health Sciences, Walailak University, Nakhon Si Thammarat 80160, Thailand; charupa.le@wu.ac.th (C.L.); nsuparoe@wu.ac.th (J.N.); chadapa.bn@wu.ac.th (C.R.) | |
| 245 | 1 | |a The Development and Evaluation of the Application for Assessing the Fall Risk Factors and the Suggestion to Prevent Falls in Older Adults | |
| 260 | |b MDPI AG |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a 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. | |
| 651 | 4 | |a Thailand | |
| 653 | |a Falls | ||
| 653 | |a Applications programs | ||
| 653 | |a Telemedicine | ||
| 653 | |a Environmental risk | ||
| 653 | |a User satisfaction | ||
| 653 | |a Mobile communications networks | ||
| 653 | |a Medical personnel | ||
| 653 | |a Risk factors | ||
| 653 | |a Mobile computing | ||
| 653 | |a User experience | ||
| 653 | |a Hazard assessment | ||
| 653 | |a Brochures | ||
| 653 | |a Older people | ||
| 653 | |a Access control | ||
| 653 | |a Correlation coefficients | ||
| 653 | |a Electronic health records | ||
| 653 | |a Validation studies | ||
| 653 | |a Risk assessment | ||
| 653 | |a Data integrity | ||
| 653 | |a Validity | ||
| 653 | |a Internet access | ||
| 653 | |a Aging | ||
| 653 | |a Prevention | ||
| 653 | |a Reliability | ||
| 653 | |a Cloud computing | ||
| 653 | |a Self assessment | ||
| 653 | |a Adults | ||
| 653 | |a Public health | ||
| 653 | |a Access to information | ||
| 653 | |a Professionals | ||
| 653 | |a Real time | ||
| 653 | |a Relational data bases | ||
| 700 | 1 | |a Jiamjarasrangsi Wiroj |u Department of Preventive and Social Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand; wjiamja@gmail.com | |
| 700 | 1 | |a Kaewrat Charlee |u Informatics Innovation Center of Excellence (IICE), School of Informatics, Walailak University, Nakhon Si Thammarat 80160, Thailand; charlee.ke@wu.ac.th | |
| 700 | 1 | |a Jiraphat, Nawarat |u Department of Physical Therapy, School of Allied Health Sciences, Walailak University, Nakhon Si Thammarat 80160, Thailand; charupa.le@wu.ac.th (C.L.); nsuparoe@wu.ac.th (J.N.); chadapa.bn@wu.ac.th (C.R.) | |
| 700 | 1 | |a Chadapa, Rungruangbaiyok |u Department of Physical Therapy, School of Allied Health Sciences, Walailak University, Nakhon Si Thammarat 80160, Thailand; charupa.le@wu.ac.th (C.L.); nsuparoe@wu.ac.th (J.N.); chadapa.bn@wu.ac.th (C.R.) | |
| 700 | 1 | |a Mackenzie, Lynette |u Discipline of Occupational Therapy, School of Health Sciences, Faculty of Medicine and Health, University of Sydney, Sydney, NSW 2141, Australia; lynette.mackenzie@sydney.edu.au | |
| 700 | 1 | |a Voravuth, Somsak |u Department of Medical Technology, School of Allied Health Sciences, Walailak University, Nakhon Si Thammarat 80160, Thailand; voravuth.so@wu.ac.th | |
| 700 | 1 | |a Wannaprom Nipaporn |u Department of Physical Therapy, School of Allied Health Sciences, University of Phayao, Phayao 56000, Thailand | |
| 773 | 0 | |t Informatics |g vol. 12, no. 2 (2025), p. 53-71 | |
| 786 | 0 | |d ProQuest |t Advanced Technologies & Aerospace Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3223909364/abstract/embedded/H09TXR3UUZB2ISDL?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text + Graphics |u https://www.proquest.com/docview/3223909364/fulltextwithgraphics/embedded/H09TXR3UUZB2ISDL?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3223909364/fulltextPDF/embedded/H09TXR3UUZB2ISDL?source=fedsrch |