面向中国心理健康研究的本地化生态瞬时评估：一种面向实施的框架及初步案例应用
Localized Ecological Momentary Assessment for Mental Health Research in China: An Implementation-Oriented Framework and Preliminary Case Application
AI总结：
本研究针对中国EMA平台部署的工作流程缺口，开发MEPEF框架并评估慧心EMA I，发现其核心挑战是本地化部署的工作流程缺口，为EMA平台提供了面向实施的推进路径。
AI中文摘要：
背景：生态瞬时评估（EMA）正越来越多地用于心理健康研究，但研究级部署需要支持协议配置、自动推送、参与者管理和数据导出的平台，而在中国，这些需求并未得到持续支持。目的：本研究旨在确定影响本地化EMA部署的工作流程缺口，开发一种面向实施的平台评估框架，并对慧心EMA I（Huixin EMAI）进行评估。方法：我们对中国知网（CNKI）和万方数据库中中国心理健康研究报告的EMA平台进行了综述，由6名专家组成的多学科小组开发了多维度EMA平台评估框架（MEPEF），并在6个领域的43项指标上对7个平台进行了基准测试。随后，利用48名参与者的部署日志、44名参与者的问卷数据以及对6名研究人员的半结构化访谈，将MEPEF应用于慧心EMA I。结果：我们确定了66项实证研究，其中多数依赖基于即时通讯的工作流程（36/66，占54.5%），而专门的EMA平台较少（14/66，占21.2%）。MEPEF提供了一个用于跨平台基准测试的6领域框架，并凸显了本地化可部署性与高级研究功能之间的权衡。在慧心EMA I的部署中，2472个预期提示中完成了1893个（占76.6%），中位响应延迟为4.0分钟（四分位距0.0-13.0）。参与者反馈表明其可接受性良好；研究人员表示其支持核心工作流程，但在控制、推送监控和数据准备方面存在缺口。结论：中国心理健康研究中EMA的主要挑战似乎不在于可行性，而在于影响本地化部署的持续性工作流程缺口。本研究将这些缺口转化为结构化的评估和设计目标，为推进本地化EMA平台提供了一条面向实施的路径。
英文摘要：
Background: Ecological momentary assessment (EMA) is increasingly used in mental health research, but research-grade deployment requires platforms supporting protocol configuration, automated delivery, participant management, and data export. In China, these requirements are not consistently supported. Objective: We aimed to identify workflow gaps affecting localized EMA deployment, develop an implementation-oriented framework for platform assessment, and assess Huixin EMAI. Methods: We reviewed EMA platforms reported in Chinese mental health studies in CNKI and Wanfang. A multidisciplinary panel of 6 experts developed the Multi-dimensional EMA Platform Evaluation Framework (MEPEF) and benchmarked 7 platforms across 43 indicators in 6 domains. MEPEF was then applied to Huixin EMAI using deployment logs from 48 participants, questionnaires from 44 participants, and semistructured interviews with 6 researchers. Results: We identified 66 empirical studies. Most relied on instant-messaging-based workflows (36/66, 54.5%), whereas specialized EMA platforms were less common (14/66, 21.2%). MEPEF provided a 6-domain framework for cross-platform benchmarking and highlighted a trade-off between localized deployability and advanced research functions. In a Huixin EMAI deployment, 1893 of 2472 expected prompts were completed (76.6%), with a median response latency of 4.0 minutes (Q1-Q3 0.0-13.0). Participant feedback indicated favorable acceptability; researchers reported support for core workflows but gaps in control, delivery monitoring, and data readiness. Conclusions: The main challenge for EMA in Chinese mental health research appears to lie less in feasibility than in recurring workflow gaps affecting localized deployment. This study translates these gaps into structured evaluation and design targets, providing an implementation-oriented pathway for advancing localized EMA platforms.
