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App-Based Feedback for Rehabilitation Exercise Correction in Patients With Knee or Hip Osteoarthritis: Prospective Cohort Study
Journal of Medical Internet Research ( IF 7.4 ) Pub Date : 2021-07-13 , DOI: 10.2196/26658
Johanna Theresia Biebl 1 , Marzena Rykala 1 , Maximilian Strobel 2 , Pawandeep Kaur Bollinger 2 , Bernhard Ulm 3 , Eduard Kraft 1 , Stephan Huber 2 , Andreas Lorenz 1
Affiliation  

Background: The use of digital therapeutic solutions for rehabilitation of conditions such as osteoarthritis provides scalable access to rehabilitation. Few validated technological solutions exist to ensure supervision of users while they exercise at home. Motion Coach (Kaia Health GmbH) provides audiovisual feedback on exercise execution in real time on conventional smartphones. Objective: We hypothesized that the interrater agreement between physiotherapists and Motion Coach would be noninferior to physiotherapists’ interrater agreement for exercise evaluations in a cohort with osteoarthritis. Methods: Patients diagnosed with osteoarthritis of the knee or hip were recruited at a university hospital to perform a set of 6 exercises. Agreement between Motion Coach and 2 physiotherapists’ corrections for segments of the exercises were compared using Cohen κ and percent agreement. Results: Participants (n=24) were enrolled and evaluated. There were no significant differences between interrater agreements (Motion Coach app vs physiotherapists: percent agreement 0.828; physiotherapist 1 vs physiotherapist 2: percent agreement 0.833; P<.001). Age (70 years or under, older than 70 years), gender (male, female), or BMI (30 kg/m2 or under, greater than 30 kg/m2) subgroup analysis revealed no detectable difference in interrater agreement. There was no detectable difference in levels of interrater agreement between Motion Coach vs physiotherapists and between physiotherapists in any of the 6 exercises. Conclusions: The results demonstrated that Motion Coach is noninferior to physiotherapist evaluations. Interrater agreement did not differ between 2 physiotherapists or between physiotherapists and the Motion Coach app. This finding was valid for all investigated exercises and subgroups. These results confirm the ability of Motion Coach to detect user form during exercise and provide valid feedback to users with musculoskeletal disorders.

This is the abstract only. Read the full article on the JMIR site. JMIR is the leading open access journal for eHealth and healthcare in the Internet age.


中文翻译:

基于应用程序的膝关节或髋关节骨关节炎患者康复锻炼矫正反馈:前瞻性队列研究

背景:使用数字治疗解决方案来康复骨关节炎等疾病提供了可扩展的康复途径。很少有经过验证的技术解决方案可以确保用户在家锻炼时对其进行监督。Motion Coach (Kaia Health GmbH) 在传统智能手机上实时提供有关锻炼执行的视听反馈。目标:我们假设物理治疗师和运动教练之间的交互者协议不劣于物理治疗师在骨关节炎队列中进行运动评估的交互者协议。方法:在大学医院招募被诊断患有膝关节或髋关节骨关节炎的患者进行一组 6 项运动。使用 Cohen κ 和百分比一致性比较了运动教练和 2 位物理治疗师对练习部分的修正之间的一致性。结果:参与者 (n=24) 被纳入并评估。内部协议之间没有显着差异(Motion Coach 应用程序与物理治疗师:一致性百分比 0.828;物理治疗师 1 与物理治疗师 2:一致性百分比 0.833;P <.001)。年龄(70 岁或以下,70 岁以上)、性别(男性、女性)或 BMI(30 kg/m2 或以下,大于 30 kg/m2)亚组分析显示,没有可检测的差异。运动教练与物理治疗师之间以及物理治疗师之间在 6 项练习中的任何一项中都没有明显的差异。结论:结果表明 Motion Coach 不劣于物理治疗师的评估。2 位物理治疗师之间或物理治疗师与 Motion Coach 应用程序之间的评估者间协议没有差异。这一发现适用于所有调查的练习和亚组。这些结果证实了 Motion Coach 在运动过程中检测用户形态的能力,并向患有肌肉骨骼疾病的用户提供有效的反馈。

这只是摘要。阅读 JMIR 网站上的完整文章。JMIR 是互联网时代电子健康和医疗保健领域领先的开放获取期刊。
更新日期:2021-07-13
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