ArticleJMIR mental health2022
Operationalizing Engagement With an Interpretation Bias Smartphone App Intervention: Case Series.
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 3 papers.
What it found
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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.
The trial behind it
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Who cites it
3 citing papers in PubMed.
- Defining and Measuring Engagement and Adherence in Digital Mental Health Interventions: Protocol for an Umbrella Review.JMIR research protocols · 2025Article
- Application of a Sociotechnical Framework to Uncover Factors That Influence Effective User Engagement With Digital Mental Health Tools in Clinical Care Contexts: Scoping Review.Journal of medical Internet research · 2025Article
- Acceptability and Engagement of a Smartphone-Delivered Interpretation Bias Intervention in a Sample of Black and Latinx Adults: Open Trial.JMIR mental health · 2024Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
backgroundEngagement with mental health smartphone apps is an understudied but critical construct to understand in the pursuit of improved efficacy.
objectiveThis study aimed to examine engagement as a multidimensional construct for a novel app called HabitWorks. HabitWorks delivers a personalized interpretation bias intervention and includes various strategies to enhance engagement such as human support, personalization, and self-monitoring.
methodsWe examined app use in a pilot study (n=31) and identified 5 patterns of behavioral engagement: consistently low, drop-off, adherent, high diary, and superuser.
resultsWe present a series of cases (5/31, 16%) from this trial to illustrate the patterns of behavioral engagement and cognitive and affective engagement for each case. With rich participant-level data, we emphasize the diverse engagement patterns and the necessity of studying engagement as a heterogeneous and multifaceted construct.
conclusionsOur thorough idiographic exploration of engagement with HabitWorks provides an example of how to operationalize engagement for other mental health apps.
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