Palliative Care and Resilience Lab, Center for Clinical and Translational Research, Seattle Children's Research Institute, Seattle, WA, United States.
Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, WA, United States.
J Med Internet Res. 2021 Jun 7;23(6):e27105. doi: 10.2196/27105.
Mobile health (mHealth) technologies have provided an innovative platform for the deployment of health care diagnostics, symptom monitoring, and prevention and intervention programs. Such health-related smartphone apps are universally accepted by patients and providers with over 50 million users worldwide. Despite the rise in popularity and accessibility among consumers, the evidence base in support of health-related apps has fallen well behind the rapid pace of industry development. To bridge this evidence gap, researchers are beginning to consider how to best apply evidence-based research standards to the systematic synthesis of the mHealth consumer market. In this viewpoint, we argue for the adoption of a "hybrid model" that combines a traditional systematic review with a systematic search of mobile app download platforms for health sciences researchers interested in synthesizing the state of the science of consumer apps. This approach, which we have successfully executed in a recent review, maximizes the benefits of traditional and novel approaches to address the essential question of whether popular consumer mHealth apps work.
移动健康 (mHealth) 技术为医疗保健诊断、症状监测以及预防和干预计划的部署提供了一个创新平台。这种与健康相关的智能手机应用程序被全球超过 5000 万用户普遍接受,无论是患者还是提供者。尽管消费者对健康相关应用程序的欢迎程度和可及性有所提高,但支持健康相关应用程序的证据基础远远落后于行业发展的快速步伐。为了弥合这一证据差距,研究人员开始考虑如何将循证研究标准最好地应用于对 mHealth 消费者市场的系统综合。在这篇观点文章中,我们主张采用一种“混合模式”,即对于有兴趣综合消费者应用程序科学现状的健康科学研究人员,将传统的系统评价与移动应用程序下载平台的系统搜索相结合。这种方法在我们最近的一项综述中得到了成功执行,最大限度地发挥了传统和新颖方法的优势,以解决一个基本问题,即流行的消费者 mHealth 应用程序是否有效。