ReviewInternational journal of behavioral medicine2023
Measuring Engagement with Mental Health and Behavior Change Interventions: an Integrative Review of Methods and Instruments.
Review in International journal of behavioral medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
35 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Engagement With Conversational Agent-Enabled Interventions in Cardiometabolic Disease Self-Management: Systematic Review.JMIR mHealth and uHealth · 2025Pooled it
- Understanding engagement with digital health interventions designed for adults with hearing loss and tinnitus: a mixed-method systematic review.Translational behavioral medicine · 2025Pooled it
- Adult Suicidality and Therapeutic Engagement: A Systematic Review.Clinical psychology & psychotherapyPooled it
- User journey method: a case study for improving digital intervention use measurement.BMC health services research · 2025Trial
- Design Preferences for Mental Health Apps Among Nondigitally Native Adults With Chronic Pain: Qualitative Analysis.JMIR mHealth and uHealth · 2026Article
- Multilevel Predictors of Intervention Uptake and Postintervention Physical Activity Behaviors Among Churchgoing Latino Adults.Journal of physical activity & health · 2026Article
- Identifying and Mapping Levels of Active Engagement Within an Arts-Based Intervention: A Qualitative Analysis and Conceptual Development.International journal of behavioral medicine · 2026Article
- Mechanisms of Engagement With Mobile Health Apps for Adults With Long-Term Conditions: Overview of Systematic Reviews.JMIR mHealth and uHealth · 2026Review
- Real-World Engagement With a Generative AI Conversational Agent for Mental Health Support: Retrospective Descriptive Study.JMIR formative research · 2026Article
- Personalizing Suicide Risk Assessment: Machine Learning Extraction of Cross-Modal Interactions Between Psychosocial and Demographic Factors in Veterans.medRxiv : the preprint server for health sciences · 2026Article
- Natural language processing of patient in-session speech to predict brief motivational interviewing alcohol intervention response: an exploratory study.Alcohol and alcoholism (Oxford, Oxfordshire) · 2026Article
- Developing psychosocial phenotypes to understand engagement with digital health technologies for heart failure.NPJ digital medicine · 2026Article
- How is mental health associated with teenagers' attitudes toward sport participation? - The chain mediating role of exercise self-efficacy and sport confidence.Frontiers in psychology · 2026Article
- The impact of intention to adopt generative AI for exercise information on exercise adherence among Chinese college students: the mediating role of autonomous motivation and network analysis.Frontiers in public health · 2026Article
- Understanding how adolescents engage in mindfulness-based intervention: a mixed methods study of engagement processes.Current psychology (New Brunswick, N.J.) · 2026Article
- Pilot study of an app-supported psychosocial prevention intervention: a mixed-methods approach.Pilot and feasibility studies · 2025Article
- Transforming Mental Health for Transgender and Gender-Diverse Young Adults Using Interventions to Drive Equity (TransHealthGUIDE): Protocol for a Digital Randomized Controlled Trial.JMIR research protocols · 2025Article
- Barriers and Facilitators to Mental Health Support Among Airline Pilots: A Narrative Review.Cureus · 2025Review
- Mapping the Process of Engagement With Digital Health Interventions: A Cross-Case Synthesis.Mayo Clinic proceedings. Innovations, quality & outcomes · 2025Article
- "A one-stop shop": Real-world use and app-users' experiences of a psychoeducational smartphone app for adults with ADHD.Internet interventions · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundEngagement is a complex construct consisting of behavioral, cognitive, and affective dimensions, making engagement a difficult construct to measure. This integrative review aims to (1) present a multidisciplinary overview of measurement methods that are currently used to measure engagement with adult mental health and behavior change interventions, delivered in-person, blended, or digitally, and (2) provide a set of recommendations and considerations for researchers wishing to study engagement.
methodsWe used an integrative approach and identified original studies and reviews on engagement with mental health or behavior change interventions that were delivered in-person, digitally, or blended.
resultsForty articles were analyzed in this review. Common methods to assess engagement were through objective usage data, questionnaire-based data, and qualitative data, with objective usage data being used most frequently. Based on the synthesis of engagement measures, we advise researchers to (1) predefine the operationalization of engagement for their specific research context, (2) measure behavioral, cognitive, and affective dimensions of engagement in all cases, and (3) measure engagement over time.
conclusionsCurrent literature shows a bias towards behavioral measures of engagement in research, as most studies measured engagement exclusively through objective usage data, without including cognitive and affective measures of engagement. We hope that our recommendations will help to reduce this bias and to steer engagement research towards an integrated approach.
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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.