ArticleJournal of medical Internet research2019
Assessing the Psychometric Properties of the Digital Behavior Change Intervention Engagement Scale in Users of an App for Reducing Alcohol Consumption: Evaluation Study.
Article in Journal of medical Internet research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Engagement With a Web-Based Intervention to Reduce Harmful Drinking: Secondary Analysis of a Randomized Controlled Trial.Journal of medical Internet research · 2020Trial
- An App-Based Behavioral Support Intervention Promoting Physical Activity (APPROACH) in Patients Diagnosed With Breast, Prostate, or Colorectal Cancer: Protocol for a Randomized Controlled Trial.JMIR research protocols · 2026Article
- Evaluating the SEND eHealth Application to Improve Patients' Secure Message Writing.Journal of cancer education : the official journal of the American Association for Cancer Education · 2025Article
- Engagement With an Internet-Administered, Guided, Low-Intensity Cognitive Behavioral Therapy Intervention for Parents of Children Treated for Cancer: Analysis of Log-Data From the ENGAGE Feasibility Trial.JMIR formative research · 2025Article
- The conceptualisation and measurement of engagement in digital health.Internet interventions · 2024Article
- Understanding Attrition in Text-Based Health Promotion for Fathers: Survival Analysis.JMIR formative research · 2023Article
- Assessing Engagement With Patient-Generated Health Data Recording and Its Impact on Health Behavior Changes in Multicomponent Interventions: Supplementary Analysis.JMIR formative research · 2022Article
- Web-Based Single Session Intervention for Perceived Control Over Anxiety During COVID-19: Randomized Controlled Trial.JMIR mental health · 2022Article
- Development and usability of a web-based patient-tailored tool to support adherence to urate-lowering therapy in gout.BMC medical informatics and decision making · 2022Article
- An app with brief behavioural support to promote physical activity after a cancer diagnosis (APPROACH): study protocol for a pilot randomised controlled trial.Pilot and feasibility studies · 2022Article
- An mHealth App-Based Self-management Intervention for Family Members of Pediatric Transplant Recipients (myFAMI): Framework Design and Development Study.JMIR nursing · 2022Article
- Estimating the impact of engagement with digital health interventions on patient outcomes in randomized trials.Journal of the American Medical Informatics Association : JAMIA · 2021Article
- Participating in Two Video Concussion Education Programs Sequentially Improves Concussion-Reporting Intention.Neurotrauma reports · 2021Article
- Evaluating Patient-Centered Mobile Health Technologies: Definitions, Methodologies, and Outcomes.JMIR mHealth and uHealth · 2020Article
- Psychometric Evaluation of the TWente Engagement with Ehealth Technologies Scale (TWEETS): Evaluation Study.Journal of medical Internet research · 2020Article
- Athlete Enjoyment of Prior Education Moderates change in Concussion-Reporting Intention after Interactive Education.Inquiry : a journal of medical care organization, provision and financingArticle
- Evaluation, Acceptance, and Qualification of Digital Measures: From Proof of Concept to Endpoint.Digital biomarkersReview
- Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
backgroundThe level and type of engagement with digital behavior change interventions (DBCIs) are likely to influence their effectiveness, but validated self-report measures of engagement are lacking. The DBCI Engagement Scale was designed to assess behavioral (ie, amount, depth of use) and experiential (ie, attention, interest, enjoyment) dimensions of engagement.
objectiveWe aimed to assess the psychometric properties of the DBCI Engagement Scale in users of a smartphone app for reducing alcohol consumption.
methodsParticipants (N=147) were UK-based, adult, excessive drinkers recruited via an online research platform. Participants downloaded the Drink Less app and completed the scale immediately after their first login in exchange for a financial reward. Criterion variables included the objectively recorded amount of use, depth of use, and subsequent login. Five types of validity (ie, construct, criterion, predictive, incremental, divergent) were examined in exploratory factor, correlational, and regression analyses. The Cronbach alpha was calculated to assess the scale's internal reliability. Covariates included motivation to reduce alcohol consumption.
resultsResponses on the DBCI Engagement Scale could be characterized in terms of two largely independent subscales related to experience and behavior. The experiential and behavioral subscales showed high (α=.78) and moderate (α=.45) internal reliability, respectively. Total scale scores predicted future behavioral engagement (ie, subsequent login) with and without adjusting for users' motivation to reduce alcohol consumption (adjusted odds ratio [OR
conclusionsThe DBCI Engagement Scale assesses behavioral and experiential aspects of engagement. The behavioral subscale may not be a valid indicator of behavioral engagement. The experiential subscale can predict subsequent behavioral engagement with an app for reducing alcohol consumption. Further refinements and validation of the scale in larger samples and across different DBCIs are needed.
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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.