ArticleJMIR mental health2022
Engagement, Predictors, and Outcomes of a Trauma Recovery Digital Mental Health Intervention: Longitudinal Study.
Article in JMIR mental health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
8 citing papers in PubMed, 14 citations in OpenAlex.
- Exploring Perceived Changes to Mental Health When Restricting and Resuming Specific Adaptive Daily Actions: Longitudinal Qualitative Substudy Within a Randomized Controlled Trial.JMIR formative research · 2026Trial
- Perspectives of Clinical Researchers on Engagement With Digital Mental Health Interventions: Qualitative Interview Study.JMIR formative research · 2026Article
- Enhancing Resilience and Connection: SigBeeHealthcare (Basel, Switzerland) · 2025Article
- Feasibility and acceptability of remote technologies for the treatment of trauma- and stressor-related disorders in adults: mixed-methods systematic review.BJPsych open · 2025Review
- User engagement in a digital health intervention designed for young people who have experienced technology-assisted sexual abuse (i-Minds trial).Internet interventions · 2025Article
- Understanding Whether and How a Digital Health Intervention Improves Transition Care for Emerging Adults Living With Type 1 Diabetes: Protocol for a Mixed Methods Realist Evaluation.JMIR research protocols · 2023Article
- Time-varying model of engagement with digital self reporting: Evidence from smoking cessation longitudinal studies.Frontiers in digital health · 2023Article
- Enhancing wellbeing in cancer care: Engagement in smart-messaging programmes for symptom management.Digital healthArticle
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWorldwide, exposure to potentially traumatic events is extremely common, and many individuals develop posttraumatic stress disorder (PTSD) along with other disorders. Unfortunately, considerable barriers to treatment exist. A promising approach to overcoming treatment barriers is a digital mental health intervention (DMHI). However, engagement with DMHIs is a concern, and theoretically based research in this area is sparse and often inconclusive.
objectiveThe focus of this study is on the complex issue of DMHI engagement. On the basis of the social cognitive theory framework, the conceptualization of engagement and a theoretically based model of predictors and outcomes were investigated using a DMHI for trauma recovery.
methodsA 6-week longitudinal study with a national sample of survivors of trauma was conducted to measure engagement, predictors of engagement, and mediational pathways to symptom reduction while using a trauma recovery DMHI (time 1: N=915; time 2: N=350; time 3: N=168; and time 4: N=101).
resultsConfirmatory factor analysis of the engagement latent constructs of duration, frequency, interest, attention, and affect produced an acceptable model fit (χ
conclusionsThe results of this study may provide a solid foundation for formalizing the nascent science of engagement. Engagement conceptualization comprised general measures of attention, interest, affect, and use that could be applied to other applications. The longitudinal research model supported 2 theoretically based predictors of engagement: engagement self-efficacy and outcome expectancies. A total of 2 task-specific self-efficacies-skill activation and trauma coping-proved to be significant mediators between engagement and symptom reduction. Taken together, this model can be applied to other DMHIs to understand engagement, as well as predictors and mechanisms of action. Ultimately, this could help improve the design and development of engaging and effective trauma recovery DMHIs.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.