ArticleCSCW : proceedings of the Conference on Computer-Supported Cooperative Work. Conference on Computer-Supported Cooperative Work2017
Supporting Patient-Provider Collaboration to Identify Individual Triggers using Food and Symptom Journals.
Article in CSCW : proceedings of the Conference on Computer-Supported Cooperative Work. Conference on Computer-Supported Cooperative Work, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 3 of them syntheses 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.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
31 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- How patient-generated health data and patient-reported outcomes affect patient-clinician relationships: A systematic review.Health informatics journal · 2020Pooled it
- Information visualizations of symptom information for patients and providers: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2019Pooled it
- Converging and diverging needs between patients and providers who are collecting and using patient-generated health data: an integrative review.Journal of the American Medical Informatics Association : JAMIA · 2018Pooled it
- Barriers and Enablers to Integrating Patient-Generated Health Data in Shared Decision-Making From Health Care Professional and Patient Perspectives: Scoping Review.JMIR mHealth and uHealth · 2026Article
- Exploring Collaboration Breakdowns Between Provider Teams and Patients in Post-Surgery Care.Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference · 2026Article
- Article
- Patient-Generated Collections for Organizing Electronic Health Record Data to Elevate Personal Meaning, Improve Actionability, and Support Patient-Health Care Provider Communication: Think-Aloud Evaluation Study.JMIR human factors · 2025Article
- Opportunities to design better computer vison-assisted food diaries to support individuals and experts in dietary assessment: An observation and interview study with nutrition experts.PLOS digital health · 2024Article
- How Patient-Generated Data Enhance Patient-Provider Communication in Chronic Care: Field Study in Design Science Research.JMIR medical informatics · 2024Article
- MigraineTracker: Examining Patient Experiences with Goal-Directed Self-Tracking for a Chronic Health Condition.Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference · 2024Article
- 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
- Designing Flexible Longitudinal Regimens: Supporting Clinician Planning for Discontinuation of Psychiatric Drugs.Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference · 2022Article
- Opportunities and Challenges of Integrating Food Practice into Clinical Decision-Making.Applied clinical informatics · 2022Article
- The Influence of Personal Health Data on the Health Coaching Process.Frontiers in big data · 2022Article
- Automated vs. Human Health Coaching: Exploring Participant and Practitioner Experiences.Proceedings of the ACM on human-computer interaction · 2021Article
- Understanding Gaps Between Daily Living and Clinical Settings in Chronic Disease Management: Qualitative Study.Journal of medical Internet research · 2021Article
- Divided We Stand: The Collaborative Work of Patients and Providers in an Enigmatic Chronic Disease.Proceedings of the ACM on human-computer interaction · 2021Article
- Interrelationships Between Patients' Data Tracking Practices, Data Sharing Practices, and Health Literacy: Onsite Survey Study.Journal of medical Internet research · 2020Article
- The Importance of Starting With Goals in N-of-1 Studies.Frontiers in digital health · 2020Article
- Parallel Journeys of Patients with Cancer and Depression: Challenges and Opportunities for Technology-Enabled Collaborative Care.Proceedings of the ACM on human-computer interaction · 2020Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Patient-generated data can allow patients and providers to collaboratively develop accurate diagnoses and actionable treatment plans. Unfortunately, patients and providers often lack effective support to make use of such data. We examine patient-provider collaboration to interpret patient-generated data. We focus on irritable bowel syndrome (IBS), a chronic illness in which particular foods can exacerbate symptoms. IBS management often requires patient-provider collaboration using a patient's food and symptom journal to identify the patient's triggers. We contribute interactive visualizations to support exploration of such journals, as well as an examination of patient-provider collaboration in interpreting the journals. Drawing upon individual and collaborative interviews with patients and providers, we find that collaborative review helps improve data comprehension and build mutual trust. We also find a desire to use tools like our interactive visualizations within and beyond clinic appointments. We discuss these findings and present guidance for the design of future tools.
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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.