Literature DB >> 26335984

Opportunities and challenges in the use of personal health data for health research.

Matthew J Bietz1, Cinnamon S Bloss2, Scout Calvert3, Job G Godino4, Judith Gregory5, Michael P Claffey6, Jerry Sheehan7, Kevin Patrick8.   

Abstract

OBJECTIVE: Understand barriers to the use of personal health data (PHD) in research from the perspective of three stakeholder groups: early adopter individuals who track data about their health, researchers who may use PHD as part of their research, and companies that market self-tracking devices, apps or services, and aggregate and manage the data that are generated.
MATERIALS AND METHODS: A targeted convenience sample of 465 individuals and 134 researchers completed an extensive online survey. Thirty-five hour-long semi-structured qualitative interviews were conducted with a subset of 11 individuals and 9 researchers, as well as 15 company/key informants.
RESULTS: Challenges to the use of PHD for research were identified in six areas: data ownership; data access for research; privacy; informed consent and ethics; research methods and data quality; and the unpredictable nature of the rapidly evolving ecosystem of devices, apps, and other services that leave "digital footprints." Individuals reported willingness to anonymously share PHD if it would be used to advance research for the good of the public. Researchers were enthusiastic about using PHD for research, but noted barriers related to intellectual property, licensing, and the need for legal agreements with companies. Companies were interested in research but stressed that their first priority was maintaining customer relationships.
CONCLUSION: Although challenges exist in leveraging PHD for research, there are many opportunities for stakeholder engagement, and experimentation with these data is already taking place. These early examples foreshadow a much larger set of activities with the potential to positively transform how health research is conducted.
© The Author 2015. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Keywords:  Internet of Things (IoT); big data; data sharing; mobile health (mHealth); personal data; wearable sensors

Mesh:

Year:  2015        PMID: 26335984      PMCID: PMC4954630          DOI: 10.1093/jamia/ocv118

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


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Journal:  Proc Natl Acad Sci U S A       Date:  2014-09-12       Impact factor: 11.205

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Review 7.  Factors Affecting the Quality of Person-Generated Wearable Device Data and Associated Challenges: Rapid Systematic Review.

Authors:  Sylvia Cho; Ipek Ensari; Chunhua Weng; Michael G Kahn; Karthik Natarajan
Journal:  JMIR Mhealth Uhealth       Date:  2021-03-19       Impact factor: 4.773

8.  Privacy Attitudes among Early Adopters of Emerging Health Technologies.

Authors:  Cynthia Cheung; Matthew J Bietz; Kevin Patrick; Cinnamon S Bloss
Journal:  PLoS One       Date:  2016-11-10       Impact factor: 3.240

9.  Accuracy of a Wrist-Worn Wearable Device for Monitoring Heart Rates in Hospital Inpatients: A Prospective Observational Study.

Authors:  Ryan R Kroll; J Gordon Boyd; David M Maslove
Journal:  J Med Internet Res       Date:  2016-09-20       Impact factor: 5.428

10.  Patterns of Twitter Behavior Among Networks of Cannabis Dispensaries in California.

Authors:  Nicholas C Peiper; Peter M Baumgartner; Robert F Chew; Yuli P Hsieh; Gayle S Bieler; Georgiy V Bobashev; Christopher Siege; Gary A Zarkin
Journal:  J Med Internet Res       Date:  2017-07-04       Impact factor: 5.428

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