As use and availability of mobile health apps have increased, so too has the need for a thorough, accessible framework for app evaluation. The American Psychiatric Association’s app evaluation model has emerged as a way to critically assess an app by considering accessibility, privacy and security, clinical foundation, engagement, and interoperability; however, there is no centralized database where users can view how various health apps perform when assessed via the APA model. In this perspective, we propose and outline our effort to translate the APA’s model for the evaluation of health apps into a set of objective metrics that can be published online, making the framework actionable and accessible to a broad audience. The questions from the APA model were operationalized into 105 objective questions that are either binary or numeric. These questions serve as the foundation of an online database, where app evaluation consists of answering these 105 questions and can be crowdsourced. While the database has yet to be published and crowdsourced, initial internal testing demonstrated excellent interrater reliability. The database proposed here introduces a public and interactive approach to data collection that is guided by the APA model. The published product enables users to sort through the many mobile health apps and filter them according to individual preferences and priorities, making the ever-growing health app market more navigable.

随着移动健康应用程序的使用和可用性的增加，对应用程序评估的彻底、可访问的框架的需求也随之增加。美国精神病学协会的应用程序评估模型已成为一种通过考虑可访问性、隐私和安全性、临床基础、参与度和互操作性来严格评估应用程序的方法；然而，没有一个集中的数据库，用户可以在其中查看各种健康应用程序在通过 APA 模型进行评估时的表现。从这个角度来看，我们提出并概述了我们将 APA 的健康应用评估模型转化为一组可以在线发布的客观指标的努力，使该框架具有可操作性并可供广大受众使用。APA 模型中的问题被转化为 105 个二进制或数字的客观问题。这些问题是在线数据库的基础，其中应用程序评估包括回答这 105 个问题，并且可以众包。虽然该数据库尚未发布和众包，但最初的内部测试显示出出色的参与者间可靠性。这里提出的数据库引入了一种以 APA 模型为指导的公共和交互式数据收集方法。该发布的产品使用户能够对众多移动健康应用程序进行分类，并根据个人喜好和优先级对其进行过滤，从而使不断增长的健康应用程序市场更加容易导航。