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Assessment of Mobile Health Applications for Management of Knee and/or Hip Osteoarthritis Using the Mobile Application Rating Scale

骨关节炎 物理疗法 移动应用程序 医学 评定量表 Android(操作系统) 包裹体(矿物) 物理医学与康复 替代医学 心理学 万维网 计算机科学 社会心理学 操作系统 发展心理学 病理
作者
Craig P. Hensley,Maria M. Witte,Jiayi Cai,Amy Gruenke,Jaclyn Pecze,Abigail Mangefrida,Alison H. Chang
出处
期刊:Jcr-journal of Clinical Rheumatology [Lippincott Williams & Wilkins]
卷期号:29 (5): 245-253 被引量:5
标识
DOI:10.1097/rhu.0000000000001896
摘要

Background Mobile health applications (apps) can help individuals with knee and/or hip osteoarthritis (OA) learn about, monitor, and manage their condition. These apps have not been formally evaluated. Objective The aim of this study was to evaluate the publicly available mobile health apps for individuals with knee and/or hip OA using a systematic review. Methods We searched the Apple App Store, Android Google Play, and Amazon Appstore using the terms “arthritis,” “osteoarthritis,” “hip OA,” “knee OA,” “hip,” “knee,” “rehabilitation,” “rehab,” and “physical therapy” in December of 2021. Applications that met the inclusion/exclusion criteria were reviewed using the Mobile Application Rating Scale (MARS; 29 items across 6 sections, each rated at 1–5). Results Among 1104 identified apps, 94 met the inclusion/exclusion criteria for MARS appraisal. Fourteen apps met the predetermined score thresholds for final summary. Of the 14 apps appraised, the total overall mean app score on the MARS ranged from 3.12 to 4.20 (mean, 3.51 ± 0.37). Although app features varied, common features were symptom tracking, exercise recommendations, education, goal setting, and improving well-being. Many apps allowed for sharing with health care providers and included some measures to protect privacy. Jointfully Osteoarthritis was the top-rated app in both the Apple App Store and Android Google Play. Conclusions The majority of the apps we identified for knee and/or hip OA did not meet predetermined score thresholds for final summary. Many failed to provide comprehensive education and deliver management plans and lacked scientific testing. Future research should focus on apps that fit the needs of health care providers and patients including quality information, structured exercise programs tailored to individual needs, secure communication methods, and health information protection.
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