Cost and Effort Considerations for the Development of Intervention Studies Using Mobile Health Platforms: Pragmatic Case Study.
Cost and Effort Considerations for the Development of Intervention Studies Using Mobile Health Platforms: Pragmatic Case Study.
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DOI：
10.2196/29988
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发表时间：
2022-03-31
影响因子：
2.2
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中科院分区：
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研究市场出现了大量可以实时收集和使用用户数据的开源或商业移动健康 (mHealth) 平台。然而，缺乏关于如何开发这些平台、将其集成到研究设计中以及如何采用的实用文献，包括有关成本和工作量考虑的重要信息。我们打算培养临床医生-研究人员读者对开发和运营移动医疗平台所涉及的成本、精力和流程的关键素养，重点关注我们开发的移动医疗平台 Intui。我们描述了 Intui mHealth 平台的开发及其跨站点运营的一般原则。我们以案例研究的形式提供了一个可行的例子。 Intui 与心理健康服务提供商合作设计了行为激活干预措施。我们描述了研究地点的设计规范、开发的软件以及构建最终产品所需的成本和工作量。研究设计、研究人员需求和技术考虑因素可能会影响与移动医疗平台使用相关的工作量和成本。平台开发人员提高透明度，了解这些因素对临床医生研究人员等最终用户相关实际考虑因素的影响，对于提高移动医疗的批判性认识至关重要，从而有助于广泛使用这些潜在有益的技术，并建立临床医生对这些工具的信心。
The research marketplace has seen a flood of open-source or commercial mobile health (mHealth) platforms that can collect and use user data in real time. However, there is a lack of practical literature on how these platforms are developed, integrated into study designs, and adopted, including important information around cost and effort considerations. We intend to build critical literacy in the clinician-researcher readership into the cost, effort, and processes involved in developing and operationalizing an mHealth platform, focusing on Intui, an mHealth platform that we developed. We describe the development of the Intui mHealth platform and general principles of its operationalization across sites. We provide a worked example in the form of a case study. Intui was operationalized in the design of a behavioral activation intervention in collaboration with a mental health service provider. We describe the design specifications of the study site, the developed software, and the cost and effort required to build the final product. Study designs, researcher needs, and technical considerations can impact effort and costs associated with the use of mHealth platforms. Greater transparency from platform developers about the impact of these factors on practical considerations relevant to end users such as clinician-researchers is crucial to increasing critical literacy around mHealth, thereby aiding in the widespread use of these potentially beneficial technologies and building clinician confidence in these tools.