Acceptability of Active and Passive Data Collection Methods for Mobile Health Research: Cross-Sectional Survey of an Online Adult Sample in the United States

Findings have implications for the design of digital health technologies and education-related to the use and implications of collected data.

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Institutions

Publication Details

Journal
JMIR Formative Research
Published
2025-06-02
DOI
https://doi.org/10.2196/64082
Citations
2
Primary Topic
Mobile Health and mHealth Applications
Type
article
Field-Weighted Citation Impact
5.63
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article

Acceptability of Active and Passive Data Collection Methods for Mobile Health Research: Cross-Sectional Survey of an Online Adult Sample in the United States

John Michael Felt, Nelson Roque
2 citations
JMIR Formative Research
Mobile Health and mHealth Applications
5.63
article

Acceptability of Active and Passive Data Collection Methods for Mobile Health Research: Cross-Sectional Survey of an Online Adult Sample in the United States

John Michael Felt, Nelson Roque
article en
2 citations

Abstract

Findings have implications for the design of digital health technologies and education-related to the use and implications of collected data.

JMIR Formative ResearchVol. 9
University of Central Florida (US), Pennsylvania State University (US)
Openalex Percentile: Top 5%
Mobile Health and mHealth Applications
5.63
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