The asthma mobile health study, smartphone data collected using ResearchKit

被引:0
|
作者
Yu-Feng Yvonne Chan
Brian M. Bot
Micol Zweig
Nicole Tignor
Weiping Ma
Christine Suver
Rafhael Cedeno
Erick R. Scott
Steven Gregory Hershman
Eric E. Schadt
Pei Wang
机构
[1] Icahn School of Medicine at Mount Sinai,Department of Genetics and Genomic Sciences
[2] Icahn School of Medicine at Mount Sinai,Department of Emergency Medicine
[3] Center for Digital Health,Department of Medicine
[4] Icahn Institute of Genomics and Multiscale Biology,Division of Cardiovascular Medicine, Department of Medicine
[5] Icahn School of Medicine at Mount Sinai,undefined
[6] Stanford University,undefined
[7] Stanford University,undefined
[8] Sema4,undefined
[9] a Mount Sinai venture,undefined
[10] Sage Bionetworks,undefined
来源
关键词
D O I
暂无
中图分类号
学科分类号
摘要
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.
引用
收藏
相关论文
共 50 条
  • [1] Data Descriptor: The asthma mobile health study, smartphone data collected using ResearchKit
    Chan, Yu-Feng Yvonne
    Bot, Brian M.
    Zweig, Micol
    Tignor, Nicole
    Ma, Weiping
    Suver, Christine
    Cedeno, Rafhael
    Scott, Erick R.
    Hershman, Steven Gregory
    Schadt, Eric E.
    Wang, Pei
    [J]. SCIENTIFIC DATA, 2018, 5
  • [2] The mPower study, Parkinson disease mobile data collected using ResearchKit
    Bot, Brian M.
    Suver, Christine
    Neto, Elias Chaibub
    Kellen, Michael
    Klein, Arno
    Bare, Christopher
    Doerr, Megan
    Pratap, Abhishek
    Wilbanks, John
    Dorsey, E. Ray
    Friend, Stephen H.
    Trister, Andrew D.
    [J]. SCIENTIFIC DATA, 2016, 3
  • [3] The mPower study, Parkinson disease mobile data collected using ResearchKit
    Brian M. Bot
    Christine Suver
    Elias Chaibub Neto
    Michael Kellen
    Arno Klein
    Christopher Bare
    Megan Doerr
    Abhishek Pratap
    John Wilbanks
    E. Ray Dorsey
    Stephen H. Friend
    Andrew D. Trister
    [J]. Scientific Data, 3
  • [4] The Asthma Mobile Health Study, a large-scale clinical observational study using ResearchKit
    Yu-Feng Yvonne Chan
    Pei Wang
    Linda Rogers
    Nicole Tignor
    Micol Zweig
    Steven G Hershman
    Nicholas Genes
    Erick R Scott
    Eric Krock
    Marcus Badgeley
    Ron Edgar
    Samantha Violante
    Rosalind Wright
    Charles A Powell
    Joel T Dudley
    Eric E Schadt
    [J]. Nature Biotechnology, 2017, 35 : 354 - 362
  • [5] The Asthma Mobile Health Study, a large-scale clinical observational study using ResearchKit
    Chan, Yu-Feng Yvonne
    Wang, Pei
    Rogers, Linda
    Tignor, Nicole
    Zweig, Micol
    Hershman, Steven G.
    Genes, Nicholas
    Scott, Erick R.
    Krock, Eric
    Badgeley, Marcus
    Edgar, Ron
    Violante, Samantha
    Wright, Rosalind
    Powell, Charles A.
    Dudley, Joel T.
    Schadt, Eric E.
    [J]. NATURE BIOTECHNOLOGY, 2017, 35 (04) : 354 - +
  • [6] The Mole Mapper Study, mobile phone skin imaging and melanoma risk data collected using ResearchKit
    Dan E. Webster
    Christine Suver
    Megan Doerr
    Erin Mounts
    Lisa Domenico
    Tracy Petrie
    Sancy A. Leachman
    Andrew D. Trister
    Brian M. Bot
    [J]. Scientific Data, 4
  • [7] Data Descriptor: The Mole Mapper Study, mobile phone skin imaging and melanoma risk data collected using ResearchKit
    Webster, Dan E.
    Suver, Christine
    Doerr, Megan
    Mounts, Erin
    Domenico, Lisa
    Petrie, Tracy
    Leachman, Sancy A.
    Trister, Andrew D.
    Bot, Brian M.
    [J]. SCIENTIFIC DATA, 2017, 4
  • [8] Asthma Triggered By Wildfires Can Be Measured Via Smartphone App: The Asthma Mobile Health Study
    Gowda, I.
    Genes, N.
    Tignor, N.
    Wang, P.
    Chan, Y. -F.
    Hershman, S.
    Zweig, M.
    Violante, S.
    Schadt, E.
    Rogers, L.
    Powell, C. A.
    [J]. AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 2016, 193
  • [9] Quality of routine health data collected by health workers using smartphone at primary health care in Ethiopia
    Medhanyie, Araya Abrha
    Spigt, Mark
    Yebyo, Henock
    Little, Alex
    Tadesse, Kidane
    Dinant, Geert-Jan
    Blanco, Roman
    [J]. INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS, 2017, 101 : 9 - 14
  • [10] Apple's ResearchKit: smart data collection for the smartphone era?
    Jardine, Jennifer
    Fisher, Jonathan
    Carrick, Benjamin
    [J]. JOURNAL OF THE ROYAL SOCIETY OF MEDICINE, 2015, 108 (08) : 294 - 296