Engineering, Modeling and Applied Social Sciences Center (CECS), Biomedical Engineering Graduate Program (PPGEBM), Universidade Federal do ABC (UFABC), Alameda da Universidade s/n, 09606-045 São Bernardo do Campo, SP, Brazil.
Stud Health Technol Inform. 2021 Oct 27;285:239-244. doi: 10.3233/SHTI210606.
Mobile Health has been increasingly present in healthcare due to the wide availability of applications for smartphones, however, robust assessment methods must be considered, seeking to provide evidence for clinical practice and mHealth solutions. This research presents the assessment of applications aimed at detecting and preventing falls for the elderly, available for Android and IOS, through the Mobile App Rating Scale. Based on the results presented, it can be concluded that the fall detection and prevention applications for the elderly available for Android and IOS showed good quality after rigorous evaluation.
移动医疗由于智能手机应用的广泛普及，在医疗保健领域越来越常见，然而，必须考虑使用强有力的评估方法，旨在为临床实践和移动医疗解决方案提供证据。本研究通过移动应用程序评级量表评估了现有的针对老年人的跌倒检测和预防应用程序，这些应用程序可用于 Android 和 IOS 系统。根据呈现的结果可以得出结论，经过严格评估，现有的针对 Android 和 IOS 系统的老年人跌倒检测和预防应用程序质量良好。
