ArticleJMIR formative research2021
Integrating User-Centered Design and Behavioral Science to Design a Mobile Intervention for Obesity and Binge Eating: Mixed Methods Analysis.
Article in JMIR formative research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 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
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
20 citing papers in PubMed, 30 citations in OpenAlex.
- Prevention Needs and Target Behavior Preferences in an App-Based Addiction Prevention Program for German Vocational School Students: Cluster Randomized Controlled Trial.JMIR mHealth and uHealth · 2025Trial
- Understanding self-monitoring to inform a mobile intervention for binge eating and weight management: A proof-of-concept randomized trial.The International journal of eating disorders · 2022Trial
- Feasibility and Preliminary Efficacy of a Guided Self-Help Digital Intervention for Adults With Food Insecurity, Recurrent Binge Eating, and Type 2 Diabetes Mellitus: A Pilot Trial.The International journal of eating disorders · 2026Article
- Gamified Assessment of Cognitive Impulsivity in Eating Disorders and Mental Ill-Health: Mixed Methods Study Incorporating Lived Experience Co-Design and Evaluation.JMIR serious games · 2026Article
- Design of a mobile mental health stigma reduction application for depression and anxiety: User centered design.SSM. Mental health · 2026Article
- Content Validation of an Electronic Health Record-Based Diabetes Self-Management Support Tool for Older Adults With Type 2 Diabetes: Qualitative Study.JMIR diabetes · 2026Article
- Designing and Evaluating a Prototype of a Trilingual Data Collection Tool for the Middle East and North Africa (MENA) Region to Collect Data About Violence Against Sex Workers: Multiple Methods Approach in User-Centered Design.JMIR formative research · 2025Article
- Co-designing prediction data visualizations for a digital binge eating intervention.Translational behavioral medicine · 2025Article
- User-Centered Design for Designing and Evaluating a Prototype of a Data Collection Tool to Submit Information About Incidents of Violence Against Sex Workers: Multiple Methods Approach.JMIR human factors · 2024Article
- Evaluation of the Parkinson's Remote Interactive Monitoring System in a Clinical Setting: Usability Study.JMIR human factors · 2024Article
- Weight Loss Expectations of Adults With Binge Eating: Cross-sectional Study With a Human-Centered Design Approach.JMIR formative research · 2023Article
- Development of an eHealth Tool for Capturing and Analyzing the Immune-related Adverse Events (irAEs) in Cancer Treatment.Cancer informatics · 2023Article
- Development of an Electronic Screening and Brief Intervention to Address Perinatal Substance Use in Home Visiting: Qualitative User-Centered Approach.JMIR formative research · 2022Article
- Developing a Provincial Surveillance and Support System for Childhood Cancer Survivors: Multiphase User-Centered Design Study.JMIR human factors · 2022Article
- Effects of Behavioral Economics-Based Messaging on Appointment Scheduling Through Patient Portals and Appointment Completion: Observational Study.JMIR human factors · 2022Article
- Characterizing behavior change techniques used in the self-management of binge eating and weight: Applying a user-centered design approach.Eating behaviors · 2022Article
- Communicating Risk for Obesity in Early Life: Engaging Parents Using Human-Centered Design Methodologies.Frontiers in pediatrics · 2022Article
- Mobile app helps trainees manage emergencies at the bedside.AEM education and training · 2021Article
- Perceived Facilitators and Barriers to Engaging with a Digital Intervention among Those with Food Insecurity, Binge Eating, and Obesity.Nutrients · 2021Article
- Article
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundAccounting for how end users engage with technologies is imperative for designing an efficacious mobile behavioral intervention.
objectiveThis mixed methods analysis examined the translational potential of user-centered design and basic behavioral science to inform the design of a new mobile intervention for obesity and binge eating.
methodsA total of 22 adults (7/22, 32% non-Hispanic White; 8/22, 36% male) with self-reported obesity and recurrent binge eating (≥12 episodes in 3 months) who were interested in losing weight and reducing binge eating completed a prototyping design activity over 1 week. Leveraging evidence from behavioral economics on choice architecture, participants chose treatment strategies from 20 options (aligned with treatment targets composing a theoretical model of the relation between binge eating and weight) to demonstrate which strategies and treatment targets are relevant to end users. The process by which participants selected and implemented strategies and their change in outcomes were analyzed.
resultsAlthough prompted to select one strategy, participants selected between 1 and 3 strategies, citing perceived achievability, helpfulness, or relevance as selection reasons. Over the week, all practiced a strategy at least once; 82% (18/22) struggled with implementation, and 23% (5/22) added a new strategy. Several themes emerged on successes and challenges with implementation, yielding design implications for supporting users in behavior change. In postexperiment reflections, 82% (18/22) indicated the strategy was helpful, and 86% (19/22) planned to continue use. One-week average within-subject changes in weight (-2.2 [SD -5.0] pounds) and binge eating (-1.6 [SD -1.8] episodes) indicated small clinical improvement.
conclusionsApplying user-centered design and basic behavioral science yielded design insights to incorporate personalization through user choice with guidance, which may enhance engagement with and potential efficacy of digital health interventions.
Indexed as
Identifiers
What OpenQuestion holds
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.