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定义和衡量数字心理健康干预中的参与度和依从性:一项伞状综述方案

Defining and Measuring Engagement and Adherence in Digital Mental Health Interventions: Protocol for an Umbrella Review.

作者信息

Yap Lyen Krenz, Ennis Edel, Mulvenna Maurice, Martinez-Carracedo Jorge

机构信息

School of Psychology, Ulster University, Coleraine, United Kingdom.

School of Computing, Ulster University, Belfast, United Kingdom.

出版信息

JMIR Res Protoc. 2025 Jul 28;14:e73438. doi: 10.2196/73438.

Abstract

BACKGROUND

Digital mental health interventions (DMHIs) offer scalable solutions to address mental health needs, particularly among marginalized populations. However, engagement and adherence rates in DMHIs are often suboptimal, limiting their potential impact. Despite the growing body of literature on DMHI engagement, there is no consensus on how engagement and adherence are defined and measured across studies. Understanding these variations is crucial to improving DMHI design, evaluation, and outcomes.

OBJECTIVE

Using the population, concept, context framework to frame the objectives, this umbrella review aims to synthesize existing systematic reviews, meta-analyses, and scoping reviews to identify how engagement and adherence are defined and measured in DMHIs. Additionally, this review seeks to explore factors that may influence DMHI engagement and adherence.

METHODS

A systematic search of peer-reviewed literature will be conducted across major electronic databases following PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. Eligible studies will include systematic reviews, meta-analyses, and scoping reviews published in English in the past 10 years that examine engagement and/or adherence in DMHIs. Data will be extracted and synthesized to identify definitions, measurement methods, and influencing factors. Risk of bias will be assessed using the Joanna Briggs Institute (JBI) critical appraisal checklist for systematic reviews and research syntheses. Findings will be presented using a mixed methods convergent integrated approach, identifying and synthesizing themes across the included quantitative and qualitative study results.

RESULTS

This study is expected to be conducted over a 6-month period. The search, conducted in early March 2025, initially identified 5087 papers. An additional 35 papers were found through manual handsearching of BMC Digital Health. These totals were recorded prior to the removal of duplicates. This umbrella review is expected to be conducted with screening, quality assessment, and data extraction streamlined through the Covidence platform. The screening and selection of studies will be performed in month 1, followed by data extraction and quality appraisal in months 2 and 3. Data synthesis and integration will take place in months 4 and 5, and writing conclusions and preparing the manuscript will occur in month 6. This review will provide a comprehensive summary of how engagement and adherence are operationalized across existing literature. It will highlight commonalities, inconsistencies, and gaps in definitions and measurement methods. Additionally, this review will outline the key factors that influence engagement and adherence, including individual, technological, and contextual elements.

CONCLUSIONS

This umbrella review will contribute to a more nuanced understanding of engagement and adherence in DMHIs, informing future intervention design and evaluation. The findings will support the development of standardized definitions and measurement frameworks, ultimately enhancing the effectiveness and inclusivity of DMHIs.

TRIAL REGISTRATION

PROSPERO CRD42025637603; https://www.crd.york.ac.uk/PROSPERO/view/CRD42025637603.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/73438.

摘要

背景

数字心理健康干预措施(DMHIs)为满足心理健康需求提供了可扩展的解决方案,尤其是在边缘化人群中。然而,DMHIs的参与率和依从率往往不尽人意,限制了其潜在影响。尽管关于DMHI参与的文献越来越多,但对于如何在各项研究中定义和衡量参与及依从性,尚无共识。了解这些差异对于改进DMHI的设计、评估和效果至关重要。

目的

本综述采用人群、概念、背景框架来设定目标,旨在综合现有的系统评价、荟萃分析和范围综述,以确定DMHIs中参与和依从性是如何定义和衡量的。此外,本综述旨在探索可能影响DMHI参与和依从性的因素。

方法

将按照PRISMA(系统评价和荟萃分析的首选报告项目)指南,在主要电子数据库中对同行评审文献进行系统检索。符合条件的研究将包括过去10年以英文发表的、研究DMHIs中参与和/或依从性的系统评价、荟萃分析和范围综述。将提取并综合数据,以确定定义、测量方法和影响因素。将使用乔安娜·布里格斯研究所(JBI)系统评价和研究综合的批判性评价清单来评估偏倚风险。研究结果将采用混合方法收敛性综合方法呈现,识别并综合纳入的定量和定性研究结果中的主题。

结果

本研究预计为期6个月。2025年3月初进行的检索最初识别出5087篇论文。通过对BMC数字健康进行人工检索又发现了35篇论文。这些总数是在去除重复项之前记录的。预计通过Covidence平台简化筛选、质量评估和数据提取流程来进行本综述。研究的筛选和选择将在第1个月进行,随后在第2个月和第3个月进行数据提取和质量评估。数据综合和整合将在第4个月和第5个月进行,撰写结论和准备稿件将在第6个月进行。本综述将全面总结现有文献中参与和依从性是如何实施的。它将突出定义和测量方法中的共性、不一致之处和差距。此外本综述将概述影响参与和依从性的关键因素,包括个体、技术和背景因素。

结论

本综述将有助于更细致地理解DMHIs中的参与和依从性,为未来的干预设计和评估提供参考。研究结果将支持制定标准化定义和测量框架,最终提高DMHIs的有效性和包容性。

试验注册

PROSPERO CRD42025637603;https://www.crd.york.ac.uk/PROSPERO/view/CRD42025637603。

国际注册报告识别号(IRRID):PRR1-10.2196/73438。

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