Research Unit for Musculoskeletal Function and Physiotherapy, Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark.
The Research Unit PROgrez, Department of Physiotherapy and Occupational Therapy, Næstved-Slagelse-Ringsted Hospitals, Slagelse, Denmark.
JMIR Mhealth Uhealth. 2022 Feb 4;10(2):e33168. doi: 10.2196/33168.
Mobile apps offer an opportunity to improve the lifestyle of patients with chronic conditions or multimorbidity. However, for apps to be recommended in clinical practice, their quality and potential for promoting behavior change must be considered.
We aimed to investigate the quality of health apps for patients with a chronic condition or multimorbidity (defined as 2 or more chronic conditions) and their potential for promoting behavior change.
We followed the Cochrane Handbook guidelines to conduct and report this study. A systematic search of apps available in English or Danish on App Store (Apple Inc) and Google Play (Google LLC) for patients with 1 or more of the following common and disabling conditions was conducted: osteoarthritis, heart conditions (heart failure and ischemic heart disease), hypertension, type 2 diabetes mellitus, depression, and chronic obstructive pulmonary disease. For the search strategy, keywords related to these conditions were combined. One author screened the titles and content of the identified apps. Subsequently, 3 authors independently downloaded the apps onto a smartphone and assessed the quality of the apps and their potential for promoting behavior change by using the Mobile App Rating Scale (MARS; number of items: 23; score: range 0-5 [higher is better]) and the App Behavior Change Scale (ABACUS; number of items: 21; score: range 0-21 [higher is better]), respectively. We included the five highest-rated apps and the five most downloaded apps but only assessed free content for their quality and potential for promoting behavior change.
We screened 453 apps and ultimately included 60. Of the 60 apps, 35 (58%) were available in both App Store and Google Play. The overall average quality score of the apps was 3.48 (SD 0.28) on the MARS, and their overall average score for their potential to promote behavior change was 8.07 (SD 2.30) on the ABACUS. Apps for depression and apps for patients with multimorbidity tended to have higher overall MARS and ABACUS scores, respectively. The most common app features for supporting behavior change were the self-monitoring of physiological parameters (eg, blood pressure monitoring; apps: 38/60, 63%), weight and diet (apps: 25/60, 42%), or physical activity (apps: 22/60, 37%) and stress management (apps: 22/60, 37%). Only 8 out of the 60 apps (13%) were completely free.
Apps for patients with a chronic condition or multimorbidity appear to be of acceptable quality but have low to moderate potential for promoting behavior change. Our results provide a useful overview for patients and clinicians who would like to use apps for managing chronic conditions and indicate the need to improve health apps in terms of their quality and potential for promoting behavior change.
移动应用程序为改善慢性病或多种疾病患者的生活方式提供了机会。然而,为了使应用程序在临床实践中得到推荐,必须考虑其质量和促进行为改变的潜力。
我们旨在调查针对患有慢性疾病或多种疾病(定义为 2 种或以上慢性疾病)的患者的健康应用程序的质量及其促进行为改变的潜力。
我们遵循 Cochrane 手册指南进行和报告这项研究。系统地搜索了在 App Store(苹果公司)和 Google Play(谷歌有限责任公司)上提供的英文或丹麦文的适用于以下一种或多种常见且致残疾病的患者的应用程序:骨关节炎、心脏疾病(心力衰竭和缺血性心脏病)、高血压、2 型糖尿病、抑郁症和慢性阻塞性肺疾病。针对搜索策略,将与这些疾病相关的关键词进行了组合。一位作者筛选了已识别应用程序的标题和内容。随后,3 位作者分别将应用程序下载到智能手机上,并使用移动应用程序评级量表(MARS;项目数量:23;评分:范围 0-5 [分数越高越好])和应用程序行为改变量表(ABACUS;项目数量:21;评分:范围 0-21 [分数越高越好]),分别评估应用程序的质量及其促进行为改变的潜力。我们纳入了评分最高的前 5 个应用程序和下载量最高的前 5 个应用程序,但仅评估了免费内容的质量和促进行为改变的潜力。
我们筛选了 453 个应用程序,最终纳入了 60 个。在这 60 个应用程序中,有 35 个(58%)可在 App Store 和 Google Play 上同时获得。应用程序的平均 MARS 总体质量评分为 3.48(SD 0.28),ABACUS 总体平均促进行为改变的评分为 8.07(SD 2.30)。用于治疗抑郁症的应用程序和用于治疗多种疾病的患者的应用程序的 MARS 和 ABACUS 评分分别倾向于更高。支持行为改变的最常见应用程序功能是生理参数的自我监测(例如,血压监测;应用程序:38/60,63%)、体重和饮食(应用程序:25/60,42%)或身体活动(应用程序:22/60,37%)和压力管理(应用程序:22/60,37%)。在这 60 个应用程序中,只有 8 个(13%)是完全免费的。
针对患有慢性疾病或多种疾病的患者的应用程序似乎具有可接受的质量,但促进行为改变的潜力较低或中等。我们的研究结果为希望使用应用程序来管理慢性疾病的患者和临床医生提供了有用的概述,并表明需要在质量和促进行为改变的潜力方面改进健康应用程序。