Iribarren Sarah J, Brown William, Giguere Rebecca, Stone Patricia, Schnall Rebecca, Staggers Nancy, Carballo-Diéguez Alex
University of Washington, Department of Biobehavioral Nursing and Health Informatics, Seattle, WA, United States; Columbia University, School of Nursing, New York, NY, United States.
University of California San Francisco, Department of Medicine, Division of Prevention Science, Center for AIDS Prevention Studies, San Francisco, CA, United States; Zuckerberg San Francisco General Hospital, UCSF Center for Vulnerable Populations, Health Communications Research Program, San Francisco, CA, United States; New York State Psychiatric Institute and Columbia University, Division of Gender, Sexuality, and Health, HIV Center for Clinical and Behavioral Studies, New York, NY, United States.
Int J Med Inform. 2017 May;101:28-40. doi: 10.1016/j.ijmedinf.2017.01.017. Epub 2017 Feb 6.
Mobile technology supporting text messaging interventions (TMIs) continues to evolve, presenting challenges for researchers and healthcare professionals who need to choose software solutions to best meet their program needs. The objective of this review was to systematically identify and compare text messaging platforms and to summarize their advantages and disadvantages as described in peer-reviewed literature.
A scoping review was conducted using four steps: 1) identify currently available platforms through online searches and in mHealth repositories; 2) expand evaluation criteria of an mHealth mobile messaging toolkit and integrate prior user experiences as researchers; 3) evaluate each platform's functions and features based on the expanded criteria and a vendor survey; and 4) assess the documentation of platform use in the peer-review literature. Platforms meeting inclusion criteria were assessed independently by three reviewers and discussed until consensus was reached. The PRISMA guidelines were followed to report findings.
Of the 1041 potentially relevant search results, 27 platforms met inclusion criteria. Most were excluded because they were not platforms (e.g., guides, toolkits, reports, or SMS gateways). Of the 27 platforms, only 12 were identified in existing mHealth repositories, 10 from Google searches, while five were found in both. The expanded evaluation criteria included 22 items. Results indicate no uniform presentation of platform features and functions, often making these difficult to discern. Fourteen of the platforms were reported as open source, 10 focused on health care and 16 were tailored to meet needs of low resource settings (not mutually exclusive). Fifteen platforms had do-it-yourself setup (programming not required) while the remainder required coding/programming skills or setups could be built to specification by the vendor. Frequently described features included data security and access to the platform via cloud-based systems. Pay structures and reported targeted end-users varied. Peer-reviewed publications listed only 6 of the 27 platforms across 21 publications. The majority of these articles reported the name of the platform used but did not describe advantages or disadvantages.
Searching for and comparing mHealth platforms for TMIs remains a challenge. The results of this review can serve as a resource for researchers and healthcare professionals wanting to integrate TMIs into health interventions. Steps to identify, compare and assess advantages and disadvantages are outlined for consideration. Expanded evaluation criteria can be used by future researchers. Continued and more comprehensive platform tools should be integrated into mHealth repositories. Detailed descriptions of platform advantages and disadvantages are needed when mHealth researchers publish findings to expand the body of research on TMI tools for healthcare. Standardized descriptions and features are recommended for vendor sites.
支持短信干预(TMI)的移动技术不断发展,这给需要选择软件解决方案以最佳满足其项目需求的研究人员和医疗保健专业人员带来了挑战。本综述的目的是系统地识别和比较短信平台,并总结同行评审文献中所述的它们的优缺点。
采用四个步骤进行范围综述:1)通过在线搜索和移动健康知识库识别当前可用的平台;2)扩展移动健康移动消息工具包的评估标准,并整合作为研究人员的先前用户体验;3)根据扩展标准和供应商调查评估每个平台的功能和特性;4)评估同行评审文献中平台使用的文档。符合纳入标准的平台由三位评审员独立评估,并进行讨论直至达成共识。遵循PRISMA指南报告研究结果。
在1041个潜在相关搜索结果中,27个平台符合纳入标准。大多数被排除是因为它们不是平台(例如,指南、工具包、报告或短信网关)。在这27个平台中,现有移动健康知识库中仅识别出12个,谷歌搜索中识别出10个,两者中均找到5个。扩展后的评估标准包括22项。结果表明平台功能和特性的呈现不统一,这常常使其难以辨别。据报道,14个平台是开源的,10个专注于医疗保健,16个是为满足低资源环境的需求而定制的(并非相互排斥)。15个平台具有自助设置(无需编程),其余平台需要编码/编程技能,或者供应商可以根据规格构建设置。经常描述的功能包括数据安全和通过基于云的系统访问平台。付费结构和报告的目标最终用户各不相同。同行评审出版物在21篇出版物中仅列出了27个平台中的6个。这些文章大多报告了所使用平台的名称,但未描述其优缺点。
搜索和比较用于短信干预的移动健康平台仍然是一项挑战。本综述的结果可为希望将短信干预纳入健康干预措施的研究人员和医疗保健专业人员提供参考资源。概述了识别、比较和评估优缺点的步骤以供参考。未来的研究人员可以使用扩展后的评估标准。应将持续且更全面的平台工具集成到移动健康知识库中。移动健康研究人员发表研究结果时,需要详细描述平台的优缺点,以扩大关于医疗保健短信干预工具的研究范围。建议供应商网站提供标准化的描述和功能。