Observational studyNature biotechnology2017
The Asthma Mobile Health Study, a large-scale clinical observational study using ResearchKit.
Observational study in Nature biotechnology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 107 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
107 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- A systematic review of smartphone applications for cancer survivors.Journal of cancer survivorship : research and practice · 2024Pooled it
- A systematic review of methods used to conduct decentralised clinical trials.British journal of clinical pharmacology · 2022Pooled it
- Evaluation of a Primary Care-Integrated Mobile Health Intervention to Monitor between-Visit Asthma Symptoms.Applied clinical informatics · 2024Trial
- Management of Rheumatoid Arthritis With a Digital Health Application: A Multicenter, Pragmatic Randomized Clinical Trial.JAMA network open · 2023Trial
- Increasing Engagement in the Electronic Framingham Heart Study: Factorial Randomized Controlled Trial.Journal of medical Internet research · 2023Trial
- Trial
- The accuracy of passive phone sensors in predicting daily mood.Depression and anxiety · 2019Trial
- Improving machine-learning development in allergology: bridging the gap between open-access and cohort-based databases.Current opinion in allergy and clinical immunology · 2026Review
- Limited validity of an AI-powered app for dietary assessment in females with obesity.NPJ digital medicine · 2026Article
- Accessibility and usage patterns of wearable devices among Chinese adults: the Huawei Blood Pressure Health Study.European heart journal. Digital health · 2025Article
- European advances in digital rheumatology: explainable insights and personalized digital health tools for psoriatic arthritis.EClinicalMedicine · 2025Review
- App- and Wearable-Based Remote Monitoring for Patients With Myasthenia Gravis and Its Specialists: Feasibility and Usability Study.JMIR formative research · 2025Article
- Criterion validity of five open-source app-based cognitive and sensory tasks in an Australian adult life course sample aged 18 to 82: Labs without walls.Behavior research methods · 2025Article
- Recruitment of Adolescents to Virtual Clinical Trials: Recruitment Results From the Health4Me Randomized Controlled Trial.JMIR pediatrics and parenting · 2024Article
- Real-world patterns in remote longitudinal study participation: A study of the Swiss Multiple Sclerosis Registry.PLOS digital health · 2024Article
- Enhancing Adult Asthma Management: A Review on the Utility of Remote Home Spirometry and Mobile Applications.Journal of personalized medicine · 2024Review
- Navigating the Metaverse: A New Virtual Tool with Promising Real Benefits for Breast Cancer Patients.Journal of clinical medicine · 2024Review
- A Framework for Social Needs-Based Medical Biodesign Innovation.Applied clinical informatics · 2024Article
- The application of metaverse in occupational health.Frontiers in public health · 2024Review
- A Real-World Effectiveness Study Using a Mobile Application to Evaluate Early Outcomes with Upadacitinib in Rheumatoid Arthritis.Rheumatology and therapy · 2023Article
47 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
16 authors.
Funding
Abstract
The feasibility of using mobile health applications to conduct observational clinical studies requires rigorous validation. Here, we report initial findings from the Asthma Mobile Health Study, a research study, including recruitment, consent, and enrollment, conducted entirely remotely by smartphone. We achieved secure bidirectional data flow between investigators and 7,593 participants from across the United States, including many with severe asthma. Our platform enabled prospective collection of longitudinal, multidimensional data (e.g., surveys, devices, geolocation, and air quality) in a subset of users over the 6-month study period. Consistent trending and correlation of interrelated variables support the quality of data obtained via this method. We detected increased reporting of asthma symptoms in regions affected by heat, pollen, and wildfires. Potential challenges with this technology include selection bias, low retention rates, reporting bias, and data security. These issues require attention to realize the full potential of mobile platforms in research and patient care.
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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.