Centre for Musculoskeletal Research, University of Manchester, Manchester, UK.
Centre for Health Informatics, Division of Informatics, Imaging & Data Sciences, University of Manchester, Manchester, UK.
Br J Health Psychol. 2025 Feb;30(1):e12766. doi: 10.1111/bjhp.12766. Epub 2024 Nov 14.
Examine the development, implementation and evaluation of just-in-time adaptive interventions (JITAIs) in behaviour change and evaluate the quality of intervention reporting.
A scoping review of JITAIs incorporating mobile health (mHealth) technologies to improve health-related behaviours in adults. We searched MEDLINE, Embase and PsycINFO using terms related to JITAIs, mHealth, behaviour change and intervention methodology. Narrative analysis assessed theoretical foundations, real-time data capturing and processing methods, outcome evaluation and summarized JITAI efficacy. Quality of intervention reporting was assessed using the template for intervention description and replication (TIDieR) checklist.
Sixty-two JITAIs across physical activity, sedentary behaviour, dietary behaviour, substance use, sexual behaviour, fluid intake, treatment adherence, social skills, gambling behaviour and self-management skills were included. The majority (71%) aimed to evaluate feasibility, acceptability and/or usability. Supporting evidence for JITAI development was identified in 46 studies, with 67% applying this to develop tailored intervention content. Over half (55%) relied solely on self-reported data for tailoring, and 13 studies used only passive monitoring data. While data processing methods were commonly reported, 44% did not specify their techniques. 89% of JITAI designs achieved full marks on the TIDieR checklist and provided sufficient details on JITAI components. Overall, JITAIs proved to be feasible, acceptable and user-friendly across behaviours and settings. Randomized trials showed tailored interventions were efficacious, though outcomes varied by behaviour.
JITAIs offer a promising approach to developing personalized interventions, with their potential effects continuously growing. The recommended checklist emphasizes the importance of reporting transparency in establishing robust intervention designs.
考察行为改变中即时适应干预（JITAI）的开发、实施和评估，并评估干预报告的质量。
对纳入移动健康（mHealth）技术以改善成年人健康相关行为的 JITAI 进行了范围综述。我们使用与 JITAI、mHealth、行为改变和干预方法相关的术语，在 MEDLINE、Embase 和 PsycINFO 中进行了搜索。叙述性分析评估了理论基础、实时数据采集和处理方法、结果评估，并总结了 JITAI 的疗效。使用干预描述和复制模板（TIDieR）检查表评估干预报告的质量。
共纳入了 62 项关于身体活动、久坐行为、饮食行为、物质使用、性行为、液体摄入、治疗依从性、社交技能、赌博行为和自我管理技能的 JITAI。大多数（71%）旨在评估可行性、可接受性和/或可用性。有 46 项研究确定了 JITAI 开发的支持证据，其中 67%的研究应用这些证据来开发定制的干预内容。超过一半（55%）仅依靠自我报告的数据进行定制，有 13 项研究仅使用被动监测数据。虽然数据处理方法通常有报道，但 44%的方法没有指定其技术。89%的 JITAI 设计在 TIDieR 检查表上得满分，并提供了足够详细的 JITAI 组件信息。总的来说，JITAI 在各种行为和环境中都被证明是可行的、可接受的和用户友好的。随机试验表明，定制干预是有效的，但结果因行为而异。
JITAI 为开发个性化干预措施提供了一种有前途的方法，其潜在效果不断增加。建议的检查表强调了报告透明度在建立稳健干预设计方面的重要性。
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