DigiHealth Institute, Neu-Ulm University of Applied Sciences, 89231 Neu-Ulm, Germany.
Institute for Medical Information Processing, Biometry, and Epidemiology, Ludwig Maximilian University of Munich, 81377 Munich, Germany.
Int J Environ Res Public Health. 2021 Nov 23;18(23):12315. doi: 10.3390/ijerph182312315.
In the face of demographic change and constantly increasing health care costs, health care system decision-makers face ever greater challenges. Mobile health applications (mHealth apps) have the potential to combat this trend. However, in order to integrate mHealth apps into care structures, an evaluation of such apps is needed. In this paper, we focus on the criteria and methods of evaluating mHealth apps for cardiovascular disease and the implications for developing a widely applicable evaluation framework for mHealth interventions. Our aim is to derive substantiated patterns and starting points for future research by conducting a quasi-systematic scoping review of relevant peer-reviewed literature published in English or German between 2000 and 2021. We screened 4066 articles and identified = 38 studies that met our inclusion criteria. The results of the data derived from these studies show that usability, motivation, and user experience were evaluated primarily using standardized questionnaires. Usage protocols and clinical outcomes were assessed primarily via laboratory diagnostics and quality-of-life questionnaires, and cost effectiveness was tested primarily based on economic measures. Based on these findings, we propose important considerations and elements for the development of a common evaluation framework for professional mHealth apps, including study designs, data collection tools, and perspectives.
面对人口结构变化和不断增加的医疗保健成本,医疗保健系统决策者面临着越来越大的挑战。移动医疗应用程序(mHealth 应用程序)有潜力对抗这一趋势。然而,为了将 mHealth 应用程序整合到护理结构中,需要对这些应用程序进行评估。在本文中,我们专注于评估心血管疾病的 mHealth 应用程序的标准和方法,以及为 mHealth 干预措施开发广泛适用的评估框架的意义。我们的目标是通过对 2000 年至 2021 年间以英文或德文发表的相关同行评议文献进行准系统范围审查,得出有充分依据的模式和未来研究的起点。我们筛选了 4066 篇文章,确定了符合纳入标准的 = 38 项研究。这些研究的数据结果表明,可用性、动机和用户体验主要使用标准化问卷进行评估。使用协议和临床结果主要通过实验室诊断和生活质量问卷进行评估,成本效益主要基于经济措施进行测试。基于这些发现,我们提出了为专业 mHealth 应用程序开发通用评估框架的重要考虑因素和要素,包括研究设计、数据收集工具和视角。
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