Milne-Ives Madison, Lam Ching, Van Velthoven Michelle Helena, Meinert Edward
Department of Paediatrics, Digitally Enabled Preventative Health Research Group, University of Oxford, Oxford, United Kingdom.
Department of Primary Care and Public Health, Imperial College London, London, United Kingdom.
JMIR Res Protoc. 2020 Jan 30;9(1):e16931. doi: 10.2196/16931.
The popularity and ubiquity of mobile apps have rapidly expanded in the past decade. With a growing focus on patient interaction with health management, mobile apps are increasingly used to monitor health and deliver behavioral interventions. The considerable variation in these mobile health apps, from their target patient group to their health behavior, and their behavioral change strategy, has resulted in a large but incohesive body of literature.
The purpose of this protocol is to provide an overview of the current landscape, theories behind, and effectiveness of mobile apps for health behavior change.
The Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols will be used to structure this protocol. The focus of the systematic review is guided by a population, intervention, comparator, and outcome framework. A systematic search of Medline, EMBASE, CINAHL, and Web of Science will be conducted. Two authors will independently screen the titles and abstracts of identified references and select studies according to the eligibility criteria. Any discrepancies will then be discussed and resolved. One reviewer will extract data into a standardized form, which will be validated by a second reviewer. Risk of bias was assessed using the Cochrane Collaboration Risk of Bias tool, and a descriptive analysis will summarize the effectiveness of all the apps.
As of November 2019, the systematic review has been completed and is in peer review for publication.
This systematic review will summarize the current mobile app technologies and their effectiveness, usability, and coherence with behavior change theory. It will identify areas of improvement (where there is no evidence of efficacy) and help inform the development of more useful and engaging mobile health apps.
PROSPERO CRD42019155604; https://tinyurl.com/sno4lcu.
INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/16931.
在过去十年中，移动应用程序的普及程度和广泛应用迅速增长。随着对患者与健康管理互动的关注度不断提高，移动应用程序越来越多地用于监测健康状况和提供行为干预措施。这些移动健康应用程序在目标患者群体、健康行为及其行为改变策略方面存在很大差异，导致了大量但缺乏连贯性的文献。
本方案的目的是概述用于健康行为改变的移动应用程序的当前状况、背后的理论以及有效性。
将使用系统评价和Meta分析方案的首选报告项目来构建本方案。系统评价的重点由人群、干预措施、对照和结局框架指导。将对Medline、EMBASE、CINAHL和科学网进行系统检索。两名作者将独立筛选已识别参考文献的标题和摘要，并根据纳入标准选择研究。然后将讨论并解决任何差异。一名评审员将把数据提取到标准化表格中，由另一名评审员进行验证。使用Cochrane协作偏倚风险工具评估偏倚风险，并进行描述性分析以总结所有应用程序的有效性。
截至2019年11月，系统评价已完成，正在进行同行评审以准备发表。
本系统评价将总结当前的移动应用技术及其有效性、可用性以及与行为改变理论的一致性。它将确定需要改进的领域（缺乏疗效证据的领域），并有助于为开发更有用且更具吸引力的移动健康应用程序提供信息。
PROSPERO CRD42019155604；https://tinyurl.com/sno4lcu。
国际注册报告识别号（IRRID）：PRR1-10.2196/16931。
