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Demographic Imbalances Resulting From the Bring-Your-Own-Device Study Design.

Publication ,  Journal Article
Cho, PJ; Yi, J; Ho, E; Shandhi, MMH; Dinh, Y; Patil, A; Martin, L; Singh, G; Bent, B; Ginsburg, G; Smuck, M; Woods, C; Shaw, R; Dunn, J
Published in: JMIR mHealth and uHealth
April 2022

Digital health technologies, such as smartphones and wearable devices, promise to revolutionize disease prevention, detection, and treatment. Recently, there has been a surge of digital health studies where data are collected through a bring-your-own-device (BYOD) approach, in which participants who already own a specific technology may voluntarily sign up for the study and provide their digital health data. BYOD study design accelerates the collection of data from a larger number of participants than cohort design; this is possible because researchers are not limited in the study population size based on the number of devices afforded by their budget or the number of people familiar with the technology. However, the BYOD study design may not support the collection of data from a representative random sample of the target population where digital health technologies are intended to be deployed. This may result in biased study results and biased downstream technology development, as has occurred in other fields. In this viewpoint paper, we describe demographic imbalances discovered in existing BYOD studies, including our own, and we propose the Demographic Improvement Guideline to address these imbalances.

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Published In

JMIR mHealth and uHealth

DOI

EISSN

2291-5222

ISSN

2291-5222

Publication Date

April 2022

Volume

10

Issue

4

Start / End Page

e29510

Related Subject Headings

  • Wearable Electronic Devices
  • Smartphone
  • Research Design
  • Humans
  • Demography
  • Cohort Studies
  • 4601 Applied computing
  • 4206 Public health
  • 4203 Health services and systems
  • 1117 Public Health and Health Services
 

Citation

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Cho, P. J., Yi, J., Ho, E., Shandhi, M. M. H., Dinh, Y., Patil, A., … Dunn, J. (2022). Demographic Imbalances Resulting From the Bring-Your-Own-Device Study Design. JMIR MHealth and UHealth, 10(4), e29510. https://doi.org/10.2196/29510
Cho, Peter Jaeho, Jaehan Yi, Ethan Ho, Md Mobashir Hasan Shandhi, Yen Dinh, Aneesh Patil, Leatrice Martin, et al. “Demographic Imbalances Resulting From the Bring-Your-Own-Device Study Design.JMIR MHealth and UHealth 10, no. 4 (April 2022): e29510. https://doi.org/10.2196/29510.
Cho PJ, Yi J, Ho E, Shandhi MMH, Dinh Y, Patil A, et al. Demographic Imbalances Resulting From the Bring-Your-Own-Device Study Design. JMIR mHealth and uHealth. 2022 Apr;10(4):e29510.
Cho, Peter Jaeho, et al. “Demographic Imbalances Resulting From the Bring-Your-Own-Device Study Design.JMIR MHealth and UHealth, vol. 10, no. 4, Apr. 2022, p. e29510. Epmc, doi:10.2196/29510.
Cho PJ, Yi J, Ho E, Shandhi MMH, Dinh Y, Patil A, Martin L, Singh G, Bent B, Ginsburg G, Smuck M, Woods C, Shaw R, Dunn J. Demographic Imbalances Resulting From the Bring-Your-Own-Device Study Design. JMIR mHealth and uHealth. 2022 Apr;10(4):e29510.

Published In

JMIR mHealth and uHealth

DOI

EISSN

2291-5222

ISSN

2291-5222

Publication Date

April 2022

Volume

10

Issue

4

Start / End Page

e29510

Related Subject Headings

  • Wearable Electronic Devices
  • Smartphone
  • Research Design
  • Humans
  • Demography
  • Cohort Studies
  • 4601 Applied computing
  • 4206 Public health
  • 4203 Health services and systems
  • 1117 Public Health and Health Services