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The asthma mobile health study, smartphone data collected using ResearchKit.

Authors :
Chan YY
Bot BM
Zweig M
Tignor N
Ma W
Suver C
Cedeno R
Scott ER
Gregory Hershman S
Schadt EE
Wang P
Source :
Scientific data [Sci Data] 2018 May 22; Vol. 5, pp. 180096. Date of Electronic Publication: 2018 May 22.
Publication Year :
2018

Abstract

Widespread adoption of smart mobile platforms coupled with a growing ecosystem of sensors including passive location tracking and the ability to leverage external data sources create an opportunity to generate an unprecedented depth of data on individuals. Mobile health technologies could be utilized for chronic disease management as well as research to advance our understanding of common diseases, such as asthma. We conducted a prospective observational asthma study to assess the feasibility of this type of approach, clinical characteristics of cohorts recruited via a mobile platform, the validity of data collected, user retention patterns, and user data sharing preferences. We describe data and descriptive statistics from the Asthma Mobile Health Study, whereby participants engaged with an iPhone application built using Apple's ResearchKit framework. Data from 6346 U.S. participants, who agreed to share their data broadly, have been made available for further research. These resources have the potential to enable the research community to work collaboratively towards improving our understanding of asthma as well as mobile health research best practices.

Details

Language :
English
ISSN :
2052-4463
Volume :
5
Database :
MEDLINE
Journal :
Scientific data
Publication Type :
Academic Journal
Accession number :
29786695
Full Text :
https://doi.org/10.1038/sdata.2018.96