Participant Evaluation of Blockchain-Enhanced Women’s Health Research Apps: Mixed Methods Experimental Study

This study provides nuanced insights into how blockchain applications in app-based research remain secondary in value to participants' expectations of health research, and hence their intention to participate and contribute data. However, with impending data privacy and security concerns, it remains prudent to understand how to best integrate blockchain technology in digital health research infrastructure.

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Publication Details

Journal
JMIR mhealth and uhealth
Published
2025-03-25
DOI
https://doi.org/10.2196/65747
Citations
1
Primary Topic
Privacy, Security, and Data Protection
Type
article
Field-Weighted Citation Impact
4.20
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article

Participant Evaluation of Blockchain-Enhanced Women’s Health Research Apps: Mixed Methods Experimental Study

Madelena Y. Ng, Sean Moss-Pultz, Coye Cheshire, Antonio Tarlei de Souza Leite et al.
1 citations
JMIR mhealth and uhealth
Privacy, Security, and Data Protection
4.20
article

Participant Evaluation of Blockchain-Enhanced Women’s Health Research Apps: Mixed Methods Experimental Study

Madelena Y. Ng, Sean Moss-Pultz, Coye Cheshire, Antonio Tarlei de Souza Leite, Michael V. Nguyen, Jodi Halpern, Casey Ryan Alt, Courtney Rees Lyles, Olivia Shane, Tina Teng
article en
1 citations

Abstract

This study provides nuanced insights into how blockchain applications in app-based research remain secondary in value to participants' expectations of health research, and hence their intention to participate and contribute data. However, with impending data privacy and security concerns, it remains prudent to understand how to best integrate blockchain technology in digital health research infrastructure.

JMIR mhealth and uhealthVol. 13
University of California, San Francisco (US), Berkeley Public Health Division (US), University of California, Davis (US), University of California, Berkeley (US), Stanford University (US)
Gender equality
Openalex Percentile: Top 9%
Privacy, Security, and Data Protection
4.20
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