The Asthma Mobile Health Study, a large-scale clinical observational study using ResearchKit
Open accessAbstract
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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Reviewed studies assessed the number of videos watched from a playlist, educational modules completed, or self-care advice accessed.
“Others assessed the number of videos watched from a playlist [36,55], educational modules completed [52], or self-care advice accessed [69].”
From A Library of Analytic Indicators to Evaluate Effective Engagement with Consumer mHealth Apps for Chronic Conditions: Scoping Review (2019) · cites this paper as [52]
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PPD ACT: an app-based genetic study of postpartum depression
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Institutional Profile: Translational Pharmacogenomics at the Icahn School of Medicine at Mount Sinai
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- Authors
- Chan, Y.-F. Y., Wang, P., Rogers, L., Tignor, N., Zweig, M., Hershman, S. G., Genes, N., Scott, E. R., Krock, E., Badgeley, M., Edgar, R., Violante, S., Wright, R., Powell, C. A., Dudley, J. T., & Schadt, E. E.
- Affiliations
- Icahn School of Medicine at Mount Sinai (US)
- Corresponding author
- Chan, Yu-Feng Yvonne
- Schadt, Eric E
- ORCID
- Venue
- Nature Biotechnology
- Published
- 2017-03-13
- Volume
- 35
- Issue
- 4
- Pages
- 354-362
- ISSN
- 0733-222X (ISSN-L)
- 1087-0156
- 1546-1696
- PMC
- PMC5559298
- OpenAlex
- W2595012400
- Cited by
- 204
- References
- 33
- Citations by year
- 2026: 6 · 2025: 7 · 2024: 17 · 2023: 21 · 2022: 28 · 2021: 18 · 2020: 31 · 2019: 33 · 2018: 30 · 2017: 12 · 2013: 1
- FWCI
- 46.99
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Biotechnology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Icahn School of Medicine at Mount Sinai
- National Institutes of Health (UL1TR001433)
- National Institute of General Medical Sciences (T32GM007280)
- National Center for Advancing Translational Sciences
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Health Sciences › Medicine › Physiology › Asthma and respiratory diseases
- Keywords
- mobile health, ResearchKit, asthma, smartphone data collection, severe asthma, air quality, pollen exposure, forest fires, heat exposure, participant retention, selection bias, reporting bias, data security, geolocation data
- MeSH terms
- Adolescent, Adult, Aged, Asthma, Female, Health Services Research, Health Surveys, Humans, Male, Middle Aged, New York, Population Surveillance, Research Design, Risk Factors, Prevalence, Telemedicine, Patient Selection, Young Adult, Observational Studies as Topic
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