ReviewPsychiatric rehabilitation journal2017
Health behavior models for informing digital technology interventions for individuals with mental illness.
Review in Psychiatric rehabilitation journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 4 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
38 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Factors Influencing the Initiation and Continued Engagement of Digital Mental Health Tools Among Adults: Theory of Planned Behavior-Informed Systematic Review.JMIR mental health · 2026Pooled it
- Promoting mental health in children and adolescents through digital technology: a systematic review and meta-analysis.Frontiers in psychology · 2024Pooled it
- Development and Validation of Digital Health Technology Literacy Assessment Questionnaire.Journal of medical systems · 2022Pooled it
- A Game Changer: 'The Use of Digital Technologies in the Management of Upper Limb Rehabilitation'.Advances in experimental medicine and biology · 2019Pooled it
- Artificial Intelligence in Social Health: A Narrative Review of Uses, Advantages, Challenges, and Future Directions.Healthcare (Basel, Switzerland) · 2026Review
- Social Network Factors Associated with the Intention to Use Digital Mental Health Interventions Among AANHPI Emerging Adults: Application and Integration of the Network Episode Model.Research square · 2026Article
- Applying Virtual Reality in Mindfulness Exercises for Emotion Regulation and Mental Health Among Inpatients With Behavioral Issues: A Feasibility Study.American journal of health promotion : AJHP · 2026Article
- Willingness to use video-game or gamified application-based interventions to improve or strengthen emotional regulation, mental health, and mental well-being.Internet interventions · 2026Article
- Factors Associated with Intention to Use Digital Mental Health Interventions Among AANHPI Emerging Adults in the United States: Application of the Seeking Mental Health Care Model.Research square · 2026Article
- Digital Mental Health Interventions for Young People Aged 16-25 Years: Scoping Review.Journal of medical Internet research · 2025Article
- Embedding Technology-Assisted Parenting Interventions in Real-World Settings to Empower Parents of Children With Adverse Childhood Experiences: Co-Design Study.JMIR formative research · 2024Article
- The impact of immersive virtual reality meditation for depression and anxiety among inpatients with major depressive and generalized anxiety disorders.Frontiers in psychology · 2024Article
- Article
- Investigating the reciprocity between cognition and behavior in adaptation to large-scale disasters.Npj mental health research · 2023Article
- Novel behaviour change frameworks for digital health interventions: A critical review.Journal of health psychology · 2023Review
- Influences on Patient Uptake of and Engagement With the National Health Service Digital Diabetes Prevention Programme: Qualitative Interview Study.Journal of medical Internet research · 2023Article
- Behavior Change Effectiveness Using Nutrition Apps in People With Chronic Diseases: Scoping Review.JMIR mHealth and uHealth · 2023Article
- Reducing opioid related deaths for individuals who are at high risk of death from overdose: a co-production study with people housed within prison and hostel accommodation during Covid-19.Frontiers in public health · 2023Article
- Understanding client engagement in digital mental health interventions: An investigation of the eTherapy Attitudes and Process Questionnaire.Journal of clinical psychology · 2022Article
- Developing a Smart Home Technology Innovation for People With Physical and Mental Health Problems: Considerations and Recommendations.JMIR mHealth and uHealth · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
objectiveTheoretical models offer valuable insights for designing effective and sustainable behavioral health interventions, yet the application of theory for informing digital technology interventions for people with mental illness has received limited attention. We offer a perspective on the importance of applying behavior theories and models to developing digital technology interventions for addressing mental and physical health concerns among people with mental illness.
methodIn this commentary, we summarize prominent theories of human behavior, highlight key theoretical constructs, and identify opportunities to inform digital health interventions for people with mental illness. We consider limitations with existing theories and models, and examine recent theoretical advances that can specifically guide development of digital technology interventions.
resultsEstablished behavioral frameworks including health belief model, theory of planned behavior, transtheoretical model, and social cognitive theory consist of important and overlapping constructs that can inform digital health interventions for people with mental illness. As digital technologies continue to evolve and enable longitudinal data collection, real-time behavior monitoring, and adaptive features tailored to users' changing needs over time, there are new opportunities to broaden our understanding of health behaviors and mechanisms of behavior change. Recent advances include dynamic models of behavior, persuasive system design, the behavioral intervention technology model, and behavioral models for just-in-time adaptive interventions. CONCLUSION AND IMPLICATIONS FOR PRACTICE: Behavior theories offer advantages for guiding use of digital technologies. Future researchers must explore how theoretical models can effectively advance efforts to develop, evaluate, and disseminate digital health interventions targeting individuals with mental illness. (PsycINFO Database Record
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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.