ArticleInternet interventions2024
The conceptualisation and measurement of engagement in digital health.
Article in Internet interventions, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
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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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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.
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Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Commercially available mobile health applications for obesity across the lifespan: a systematic search and quality assessment.International journal of obesity (2005) · 2026Pooled it
- A Stepped Care Approach to Promoting Engagement in a Digital Health Intervention: Secondary Analysis of a Randomized Controlled Trial.Journal of medical Internet research · 2026Trial
- Adherence to and Engagement With an mHealth Physical Activity Intervention After Mild Stroke or Transient Ischemic Attack: Secondary Analysis of a Feasibility Randomized Controlled Trial.JMIR mHealth and uHealth · 2026Trial
- Testing two digital stress-management interventions in a randomized controlled trial of breast cancer patients.Scientific reports · 2025Trial
- A digital behavioral intervention to reduce sugar-sweetened beverage consumption: a randomized, controlled trial.The American journal of clinical nutrition · 2025Trial
- Usability Across 3 mHealth Problem-Solving Training Interventions for Diverse Neurodevelopmental and Neurological Populations: Multicase Usability Evaluation.JMIR human factors · 2026Article
- Towards Human-Centered Digital Health Interventions.The Psychiatric clinics of North America · 2026Review
- Engaging Older Adults With Neurocognitive Disorders in Digital Health Technologies: Scoping Review.JMIR human factors · 2026Article
- Quality and reliability of anxiety disorder-related short videos on TikTok and Bilibili: A cross-sectional study.Medicine · 2026Article
- Adoption of an Electronic Decision Support Tool for Capacity Building of Community Health Workers: Mixed Methods Study.JMIR formative research · 2026Article
- Chatbot-based health interventions in low- and middle-income countries: effective access, early attrition, and design strategies from a mixed-methods study.npj digital public health · 2026Article
- Exploring engagement patterns in a reproductive health app using the Technology Acceptance Model.Frontiers in reproductive health · 2026Article
- Engagement With and Impact of an mHealth App for Childhood Obesity Prevention and Management: Protocol for a Mixed Methods Study.JMIR research protocols · 2025Article
- Article
- Parental and Demographic Predictors of Engagement in an mHealth Intervention: Observational Study From the Let's Grow Trial.JMIR mHealth and uHealth · 2025Observational
- Engagement and attrition in digital mental health: current challenges and potential solutions.NPJ digital medicine · 2025Article
- e-Health Strategy for Surgical Prioritization: A Methodology Based on Digital Twins and Reinforcement Learning.Bioengineering (Basel, Switzerland) · 2025Article
- Mapping the Process of Engagement With Digital Health Interventions: A Cross-Case Synthesis.Mayo Clinic proceedings. Innovations, quality & outcomes · 2025Article
- Achieving clinically meaningful outcomes in digital health: a six-step, cyclical precision engagement framework (ENGAGE).Frontiers in digital health · 2025Article
- Evaluating user satisfaction and engagement in mHealth: Insights from the Integrated Digital Health Engagement Model (IDHEM).Digital healthArticle
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
Digital tools are an increasingly important component of healthcare, but their potential impact is commonly limited by a lack of user engagement. Digital health evaluations of engagement are often restricted to system usage metrics, which cannot capture a full understanding of how and why users engage with an intervention. This study aimed to examine how theory-based, multifaceted measures of engagement with digital health interventions capture different components of engagement (affective, cognitive, behavioural, micro, and macro) and to consider areas that are unclear or missing in their measurement. We identified and compared two recently developed measures that met these criteria (the Digital Behaviour Change Intervention Engagement Scale and the TWente Engagement with Ehealth Technologies Scale). Despite having similar theoretical bases and being relatively strongly correlated, there are key differences in how these scales aim to capture engagement. We discuss the implications of our analysis for how affective, cognitive, and behavioural components of engagement can be conceptualised and whether there is value in distinguishing between them. We conclude with recommendations for the circumstances in which each scale may be most useful and for how future measure development could supplement existing scales.
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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.