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架构:一个用于部署移动健康研究工具和干预措施的开源、分布式移动平台。

schema: an open-source, distributed mobile platform for deploying mHealth research tools and interventions.

机构信息

School of Science, Engineering and Information Technology, Federation University, 100 Clyde Rd, Berwick, Melbourne, VIC, 3806, Australia.

Centre for Social and Early Emotional Development, School of Psychology, Faculty of Health, Deakin University, Geelong, Australia.

出版信息

BMC Med Res Methodol. 2020 Apr 25;20(1):91. doi: 10.1186/s12874-020-00973-5.

Abstract

BACKGROUND

Mobile applications for health, also known as 'mHealth apps', have experienced increasing popularity over the past ten years. However, most publicly available mHealth apps are not clinically validated, and many do not utilise evidence-based strategies. Health researchers wishing to develop and evaluate mHealth apps may be impeded by cost and technical skillset barriers. As traditionally lab-based methods are translated onto mobile platforms, robust and accessible tools are needed to enable the development of quality, evidence-based programs by clinical experts.

RESULTS

This paper introduces schema, an open-source, distributed, app-based platform for researchers to deploy behavior monitoring and health interventions onto mobile devices. The architecture and design features of the platform are discussed, including flexible scheduling, randomisation, a wide variety of survey and media elements, and distributed storage of data. The platform supports a range of research designs, including cross-sectional surveys, ecological momentary assessment, randomised controlled trials, and micro-randomised just-in-time adaptive interventions. Use cases for both researchers and participants are considered to demonstrate the flexibility and usefulness of the platform for mHealth research.

CONCLUSIONS

The paper concludes by considering the strengths and limitations of the platform, and a call for support from the research community in areas of technical development and evaluation. To get started with schema, please visit the GitHub repository: https://github.com/schema-app/schema.

摘要

背景

在过去十年中,移动健康应用程序(也称为“移动医疗应用程序”)越来越受欢迎。然而,大多数公开可用的移动医疗应用程序未经临床验证,许多应用程序也未使用基于证据的策略。希望开发和评估移动医疗应用程序的健康研究人员可能会受到成本和技术技能障碍的阻碍。由于传统的基于实验室的方法被转移到移动平台上,因此需要强大且易于使用的工具,以便临床专家能够开发出高质量、基于证据的程序。

结果

本文介绍了 schema,这是一个开源的、分布式的、基于应用程序的平台,用于研究人员将行为监测和健康干预措施部署到移动设备上。讨论了该平台的架构和设计特点,包括灵活的调度、随机化、各种调查和媒体元素,以及数据的分布式存储。该平台支持多种研究设计,包括横断面调查、生态瞬间评估、随机对照试验和微型随机即时自适应干预。考虑了研究人员和参与者的用例,以展示该平台在移动医疗研究中的灵活性和实用性。

结论

本文最后考虑了该平台的优势和局限性,并呼吁研究界在技术开发和评估领域提供支持。要开始使用 schema,请访问 GitHub 存储库:https://github.com/schema-app/schema。

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