ArticleProceedings of the SIGCHI conference on human factors in computing systems. CHI Conference2021
A Review on Strategies for Data Collection, Reflection, and Communication in Eating Disorder Apps.
Article in Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed, 28 citations in OpenAlex.
- User experience and perceived impact of the Eating Disorder Support App: a mixed-methods evaluation.Journal of eating disorders · 2026Article
- Finding meaning in the Maze (Out): a co-produced reflexive thematic analysis of patients' reflection tasks.Journal of eating disorders · 2026Article
- Understanding Behavioral Influences on Eating Disorders and App Engagement to Inform Eating Disorder App Development: Qualitative Online Focus Groups With Adults With Lived Experience.JMIR formative research · 2026Article
- Advancements in the Diagnosis and Treatment of Eating Disorders in Children and Adolescents: Challenges, Progress, and Future Directions.Nutrients · 2025Review
- Alerts and Collections for Automating Patients' Sensemaking and Organizing of Their Electronic Health Record Data for Reflection, Planning, and Clinical Visits: Qualitative Research-Through-Design Study.JMIR human factors · 2023Article
- Informing mHealth and Web-Based Eating Disorder Interventions: Combining Lived Experience Perspectives With Design Thinking Approaches.JMIR formative research · 2022Article
- Predicting subjective well-being in a high-risk sample of Russian mental health app users.EPJ data science · 2022Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
Eating disorders (EDs) constitute a mental illness with the highest mortality. Today, mobile health apps provide promising means to ED patients for managing their condition. Apps enable users to monitor their eating habits, thoughts, and feelings, and offer analytic insights for behavior change. However, not only have scholars critiqued the clinical validity of these apps, their underlying design principles are not well understood. Through a review of 34 ED apps, we uncovered 11 different data types ED apps collect, and 9 strategies they employ to support collection and reflection. Drawing upon personal health informatics and visualization frameworks, we found that most apps did not adhere to best practices on what and how data should be collected from and reflected to users, or how data-driven insights should be communicated. Our review offers suggestions for improving the design of ED apps such that they can be useful and meaningful in ED recovery.
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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.