ArticleJournal of the American Medical Informatics Association : JAMIA2016
A framework for self-experimentation in personalized health.
Article in Journal of the American Medical Informatics Association : JAMIA, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
51 citing papers in PubMed.
- The Use and Effectiveness of Mobile Apps for Depression: Results From a Fully Remote Clinical Trial.Journal of medical Internet research · 2016Trial
- "The More You Give the Wearable, the More It Gives You": How Regular Exercisers Navigate Exercise Using Wearable Devices.Applied psychophysiology and biofeedback · 2026Article
- Informing the Design of Individualized Self-Management Regimens from the Human, Data, and Machine Learning Perspectives.ACM transactions on computer-human interaction : a publication of the Association for Computing Machinery · 2025Article
- The Effect of a Mobile App (eMOM) on Self-Discovery and Psychological Factors in Persons With Gestational Diabetes: Mixed Methods Study.JMIR mHealth and uHealth · 2025Article
- Tracking and its Potential for Older Adults with Memory Concerns.Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference · 2025Article
- 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
- Approaches to Tailoring Between-Session Mental Health Therapy Activities.Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference · 2024Article
- "They Don't Come With a Handbook": Exploring Design Opportunities for Supporting Parent-Child Interaction around Emotions in the Family Context.Proceedings of the ACM on human-computer interaction · 2024Article
- Supporting the Management of Gestational Diabetes Mellitus With Comprehensive Self-Tracking: Mixed Methods Study of Wearable Sensors.JMIR diabetes · 2023Article
- Article
- Who needs what (features) when? Personalizing engagement with data-driven self-management to improve health equity.Journal of biomedical informatics · 2023Article
- Leveraging Mobile Technology for Public Health Promotion: A Multidisciplinary Perspective.Annual review of public health · 2023Review
- A Longitudinal Goal Setting Model for Addressing Complex Personal Problems in Mental Health.Proceedings of the ACM on human-computer interaction · 2022Article
- Donating Health Data to Research: Influential Characteristics of Individuals Engaging in Self-Tracking.International journal of environmental research and public health · 2022Article
- StudyU: A Platform for Designing and Conducting Innovative Digital N-of-1 Trials.Journal of medical Internet research · 2022Article
- Effectiveness of Digital Forced-Choice Nudges for Voluntary Data Donation by Health Self-trackers in Germany: Web-Based Experiment.Journal of medical Internet research · 2022Article
- Users' needs for a digital smoking cessation application and how to address them: A mixed-methods study.PeerJ · 2022Article
- "They don't always think about that": Translational Needs in the Design of Personal Health Informatics Applications.Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference · 2021Article
- From Reflection to Action: Combining Machine Learning with Expert Knowledge for Nutrition Goal Recommendations.Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference · 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
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
objectiveTo describe an interdisciplinary and methodological framework for applying single case study designs to self-experimentation in personalized health. The authors examine the framework's applicability to various health conditions and present an initial case study with irritable bowel syndrome (IBS). METHODS AND MATERIALS: An in-depth literature review was performed to develop the framework and to identify absolute and desired health condition requirements for the application of this framework. The authors developed mobile application prototypes, storyboards, and process flows of the framework using IBS as the case study. The authors conducted three focus groups and an online survey using a human-centered design approach for assessing the framework's feasibility.
resultsAll 6 focus group participants had a positive view about our framework and volunteered to participate in future studies. Most stated they would trust the results because it was their own data being analyzed. They were most concerned about confounds, nonmeaningful measures, and erroneous assumptions on the timing of trigger effects. Survey respondents (N = 60) were more likely to be adherent to an 8- vs 12-day study length even if it meant lower confidence results. DISCUSSION: Implementation of the self-experimentation framework in a mobile application appears to be feasible for people with IBS. This framework can likely be applied to other health conditions. Considerations include the learning curve for teaching self-experimentation to non-experts and the challenges involved in operationalizing and customizing study designs.
conclusionUsing mobile technology to guide people through self-experimentation to investigate health questions is a feasible and promising approach to advancing personalized health.
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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.