@文章{信息:doi/10.2196/11447，作者=“Pham, Quynh和Graham, Gary和Lalloo, Chitra和Morita, Plinio P和Seto, Emily和Stinson, Jennifer N和Cafazzo, Joseph A”，标题=“一个分析平台来评估儿科移动健康应用程序的有效参与:设计、开发和形成性评估”，期刊=“JMIR Mhealth Uhealth”，年份=“2018”，月份=“12月”，日期=“21”，卷=“6”，数量=“12”，页面=“e11447”，关键词=“分析;参与;日志数据;移动健康;移动应用;背景:用于儿科慢性疾病的移动健康(mHealth)应用程序的可用性正在增长，这要求研究人员进行严格的评估，以跟上移动健康创新的步伐。传统的研究方法不太适合实施敏捷、迭代的试验，以证明和优化这些数字化中介的干预措施。目的:我们试图贡献一种资源，以支持对慢性病患者有效使用移动健康应用程序的分析指标的量化、分析和可视化。方法:我们应用以用户为中心的设计方法，设计和开发了一个评估有效参与的分析平台(APEEE)，与消费者移动健康应用程序一起用于慢性疾病，并实现了该平台来分析基于智能手机的疼痛自我管理应用程序iCanCope为患有慢性疼痛的年轻人生成的回顾性和前瞻性数据。结果:通过APEEE，我们能够自动化定义、实施和评估与iCanCope有效合作的过程。 Configuring the platform to integrate with the app was feasible and provided investigators with a resource to consolidate, analyze, and visualize engagement data generated by participants in real time. Preliminary efforts to evaluate APEEE showed that investigators perceived the platform to be an acceptable evaluative resource and were satisfied with its design, functionality, and performance. Investigators saw potential in APEEE to accelerate and augment evidence generation and expressed enthusiasm for adopting the platform to support their evaluative practice once fully implemented. Conclusions: Dynamic, real-time analytic platforms may provide investigators with a powerful means to characterize the breadth and depth of mHealth app engagement required to achieve intended health outcomes. Successful implementation of APEEE into evaluative practice may contribute to the realization of effective and evidence-based mHealth care. ", issn="2291-5222", doi="10.2196/11447", url="http://mhealth.www.mybigtv.com/2018/12/e11447/", url="https://doi.org/10.2196/11447", url="http://www.ncbi.nlm.nih.gov/pubmed/30578179" }