The asthma mobile health study, smartphone data collected using ResearchKit
| Autor: | Eric E. Schadt, Micol Zweig, Weiping Ma, Christine Suver, Pei Wang, Brian M. Bot, Yu-Feng Yvonne Chan, Rafhael Cedeno, Steven G. Hershman, Nicole Tignor, Erick R. Scott |
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| Rok vydání: | 2017 |
| Předmět: |
0301 basic medicine
Statistics and Probability Male Telemedicine Data Descriptor Computer science Best practice Library and Information Sciences Education 03 medical and health sciences 0302 clinical medicine Surveys and Questionnaires Leverage (statistics) Humans 030212 general & internal medicine Prospective Studies Descriptive statistics Clinical study design Health technology Data science Asthma Computer Science Applications Clinical trial design Research data Data sharing 030104 developmental biology Observational study Female Smartphone Statistics Probability and Uncertainty InformationSystems_MISCELLANEOUS Information Systems |
| Zdroj: | Scientific Data |
| ISSN: | 2052-4463 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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