| Literature DB >> 28288104 |
Yu-Feng Yvonne Chan1,2, Pei Wang1, Linda Rogers3, Nicole Tignor1, Micol Zweig1, Steven G Hershman4, Nicholas Genes1,2, Erick R Scott1, Eric Krock4, Marcus Badgeley1, Ron Edgar4, Samantha Violante1, Rosalind Wright3,5,6, Charles A Powell3, Joel T Dudley1,7, Eric E Schadt1.
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.Entities:
Mesh:
Year: 2017 PMID: 28288104 PMCID: PMC5559298 DOI: 10.1038/nbt.3826
Source DB: PubMed Journal: Nat Biotechnol ISSN: 1087-0156 Impact factor: 54.908