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成年人自我报告的健康相关行为和心理结构的移动生态瞬间评估的依从性:系统评价和荟萃分析。

Compliance With Mobile Ecological Momentary Assessment of Self-Reported Health-Related Behaviors and Psychological Constructs in Adults: Systematic Review and Meta-analysis.

机构信息

Innovation, Implementation And Clinical Translation in Health, Allied Health and Human Performance, University of South Australia, Adelaide, Australia.

Department of Kinesiology and Physical Education, Faculty of Education, McGill University, Montreal, QC, Canada.

出版信息

J Med Internet Res. 2021 Mar 3;23(3):e17023. doi: 10.2196/17023.

Abstract

BACKGROUND

Mobile ecological momentary assessment (mEMA) permits real-time capture of self-reported participant behaviors and perceptual experiences. Reporting of mEMA protocols and compliance has been identified as problematic within systematic reviews of children, youth, and specific clinical populations of adults.

OBJECTIVE

This study aimed to describe the use of mEMA for self-reported behaviors and psychological constructs, mEMA protocol and compliance reporting, and associations between key components of mEMA protocols and compliance in studies of nonclinical and clinical samples of adults.

METHODS

In total, 9 electronic databases were searched (2006-2016) for observational studies reporting compliance to mEMA for health-related data from adults (>18 years) in nonclinical and clinical settings. Screening and data extraction were undertaken by independent reviewers, with discrepancies resolved by consensus. Narrative synthesis described participants, mEMA target, protocol, and compliance. Random effects meta-analysis explored factors associated with cohort compliance (monitoring duration, daily prompt frequency or schedule, device type, training, incentives, and burden score). Random effects analysis of variance (P≤.05) assessed differences between nonclinical and clinical data sets.

RESULTS

Of the 168 eligible studies, 97/105 (57.7%) reported compliance in unique data sets (nonclinical=64/105 [61%], clinical=41/105 [39%]). The most common self-reported mEMA target was affect (primary target: 31/105, 29.5% data sets; secondary target: 50/105, 47.6% data sets). The median duration of the mEMA protocol was 7 days (nonclinical=7, clinical=12). Most protocols used a single time-based (random or interval) prompt type (69/105, 65.7%); median prompt frequency was 5 per day. The median number of items per prompt was similar for nonclinical (8) and clinical data sets (10). More than half of the data sets reported mEMA training (84/105, 80%) and provision of participant incentives (66/105, 62.9%). Less than half of the data sets reported number of prompts delivered (22/105, 21%), answered (43/105, 41%), criterion for valid mEMA data (37/105, 35.2%), or response latency (38/105, 36.2%). Meta-analysis (nonclinical=41, clinical=27) estimated an overall compliance of 81.9% (95% CI 79.1-84.4), with no significant difference between nonclinical and clinical data sets or estimates before or after data exclusions. Compliance was associated with prompts per day and items per prompt for nonclinical data sets. Although widespread heterogeneity existed across analysis (I>90%), no compelling relationship was identified between key features of mEMA protocols representing burden and mEMA compliance.

CONCLUSIONS

In this 10-year sample of studies using the mEMA of self-reported health-related behaviors and psychological constructs in adult nonclinical and clinical populations, mEMA was applied across contexts and health conditions and to collect a range of health-related data. There was inconsistent reporting of compliance and key features within protocols, which limited the ability to confidently identify components of mEMA schedules likely to have a specific impact on compliance.

摘要

背景

移动生态瞬时评估(mEMA)允许实时捕获自我报告的参与者行为和感知体验。在对儿童、青少年和特定成人临床人群的系统评价中,已经确定了 mEMA 方案和合规性报告存在问题。

目的

本研究旨在描述 mEMA 用于自我报告行为和心理结构、mEMA 方案和合规性报告的使用情况,以及非临床和临床成人样本研究中 mEMA 方案的关键组成部分与合规性之间的关联。

方法

总共搜索了 9 个电子数据库(2006-2016 年),以查找报告成年人(>18 岁)非临床和临床环境中与健康相关数据的 mEMA 自我报告行为和心理结构、mEMA 方案和合规性的观察性研究。由独立评审员进行筛选和数据提取,存在分歧的地方通过协商解决。叙述性综合描述了参与者、mEMA 目标、方案和合规性。随机效应荟萃分析探讨了与队列合规性相关的因素(监测持续时间、每日提示频率或时间表、设备类型、培训、奖励和负担评分)。随机效应方差分析(P≤.05)评估了非临床和临床数据集之间的差异。

结果

在 168 项合格研究中,97/105 项(57.7%)在独特的数据集中报告了合规性(非临床=64/105 [61%],临床=41/105 [39%])。最常见的自我报告 mEMA 目标是情感(主要目标:31/105,29.5%的数据集中;次要目标:50/105,47.6%的数据集中)。mEMA 方案的中位数持续时间为 7 天(非临床=7,临床=12)。大多数方案使用单一基于时间的(随机或间隔)提示类型(69/105,65.7%);中位数提示频率为每天 5 次。非临床和临床数据集的每个提示的中位数项目数相似(8 个)。超过一半的数据集报告了 mEMA 培训(84/105,80%)和为参与者提供奖励(66/105,62.9%)。不到一半的数据集报告了提示的发送数量(22/105,21%)、回答数量(43/105,41%)、有效的 mEMA 数据标准(37/105,35.2%)或响应延迟(38/105,36.2%)。荟萃分析(非临床=41,临床=27)估计整体合规率为 81.9%(95%CI 79.1-84.4),非临床和临床数据集之间或数据排除前后均无显著差异。合规性与非临床数据集中的每日提示次数和每个提示的项目数相关。尽管分析中存在广泛的异质性(I>90%),但在代表负担的 mEMA 方案的关键特征与 mEMA 合规性之间,没有确定出有说服力的关系。

结论

在这项使用 mEMA 评估成年非临床和临床人群自我报告健康相关行为和心理结构的 10 年样本研究中,mEMA 被应用于各种环境和健康状况,并用于收集各种健康相关数据。在方案中,合规性和关键特征的报告不一致,这限制了我们有信心确定可能对合规性产生特定影响的 mEMA 时间表的组成部分。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7cec/7970161/3ca1ebdd0aff/jmir_v23i3e17023_fig1.jpg

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