TY - JOUR
T1 - The Asthma Mobile Health Study, a large-scale clinical observational study using ResearchKit
AU - Chan, Yu Feng Yvonne
AU - Wang, Pei
AU - Rogers, Linda
AU - Tignor, Nicole
AU - Zweig, Micol
AU - Hershman, Steven G.
AU - Genes, Nicholas
AU - Scott, Erick R.
AU - Krock, Eric
AU - Badgeley, Marcus
AU - Edgar, Ron
AU - Violante, Samantha
AU - Wright, Rosalind
AU - Powell, Charles A.
AU - Dudley, Joel T.
AU - Schadt, Eric E.
N1 - Publisher Copyright:
© 2017 Nature America, Inc., part of Springer Nature. All rights reserved.
PY - 2017/4/1
Y1 - 2017/4/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85017364528&partnerID=8YFLogxK
U2 - 10.1038/nbt.3826
DO - 10.1038/nbt.3826
M3 - Article
C2 - 28288104
AN - SCOPUS:85017364528
SN - 1087-0156
VL - 35
SP - 354
EP - 362
JO - Nature Biotechnology
JF - Nature Biotechnology
IS - 4
ER -