The asthma mobile health study, smartphone data collected using ResearchKit

Yu‐Feng Yvonne Chan(Icahn School of Medicine at Mount Sinai), Brian M. Bot(Sage Bionetworks), Micol Zweig(Icahn School of Medicine at Mount Sinai), Nicole Tignor(Icahn School of Medicine at Mount Sinai), Weiping Ma(Icahn School of Medicine at Mount Sinai), Christine Suver(Sage Bionetworks), Rafhael Cedeno(Icahn School of Medicine at Mount Sinai), Erick R. Scott(Sema4 (United States)), Steven G. Hershman(Stanford University), Eric E. Schadt(Sema4 (United States)), Pei Wang(Icahn School of Medicine at Mount Sinai)
Scientific Data
May 22, 2018
Cited by 54Open Access
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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.


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