@文章{info:doi/ 10.2199 /30000，作者="Saleem, Maham和K{\ \ u}hne, Lisa和De Santis, Karina Karolina和Christianson, Lara和Brand, Tilman和Busse, Heide"，标题="理解心理健康促进数字干预的参与策略:范围回顾"，期刊="JMIR Ment Health"，年="2021"，月="12"，日="20"，卷="8"，数="12"，页="e30000"，关键词="数字干预;促进精神卫生;参与;范围审查;背景:数字干预为解决心理健康促进的高需求提供了一种解决方案，特别是在面临身体接触限制或缺乏可访问性的情况下。参与数字干预措施对其有效性至关重要;然而，在整个干预过程中保持用户的参与度是一项挑战。目前尚不清楚何种战略有助于参与以促进心理健康为目标的数字干预措施。目的:我们的目的是进行范围审查，以调查用户参与策略和方法，以评估针对成人心理健康促进的数字干预的参与。方法:本次范围评审遵循PRISMA(系统评审和荟萃分析首选报告项目)范围评审指南。 The search was conducted in 7 electronic databases from inception to April 2020. The inclusion criteria for studies were as follows: adult (aged ≥18 years) users of digital interventions for mental health promotion from the general population; any digital intervention for mental health promotion; and user engagement strategies described in the intervention design. We extracted the following data items: study characteristics, digital intervention (type and engagement strategy), evaluation of engagement strategy (method and result specifying whether the strategy was effective at facilitating engagement), and features of engagement (extent of use and subjective experience of users). Results: A total of 2766 studies were identified, of which 16 (0.58{\%}) met the inclusion criteria. The 16 studies included randomized controlled trials (6/16, 37{\%}), studies analyzing process data (5/16, 31{\%}), observational studies (3/16, 19{\%}), and qualitative studies (2/16, 13{\%}). The digital interventions for mental health promotion were either web based (12/16, 75{\%}) or mobile app based (4/16, 25{\%}). The engagement strategies included personalized feedback about intervention content or users' mental health status; guidance regarding content and progress through e-coaching; social forums, and interactivity with peers; content gamification; reminders; and flexibility and ease of use. These engagement strategies were deemed effective based on qualitative user feedback or responses on questionnaires or tools (4/16, 25{\%}), usability data (5/16, 31{\%}), or both (7/16, 44{\%}). Most studies identified personalized support in the form of e-coaching, peer support through a social platform, personalized feedback, or joint videoconference sessions as an engaging feature. Conclusions: Personalized support during the intervention, access to social support, and personalized feedback seem to promote engagement with digital interventions for mental health promotion. These findings need to be interpreted with caution because the included studies were heterogeneous, had small sample sizes, and typically did not address engagement as the primary outcome. Despite the importance of user engagement for the effectiveness of digital interventions, this field has not yet received much attention. Further research is needed on the effectiveness of different strategies required to facilitate user engagement in digital interventions for mental health promotion. ", issn="2368-7959", doi="10.2196/30000", url="https://mental.www.mybigtv.com/2021/12/e30000", url="https://doi.org/10.2196/30000", url="http://www.ncbi.nlm.nih.gov/pubmed/34931995" }