Accepted for/Published in: JMIR Formative Research
Date Submitted: Jul 9, 2024
Date Accepted: Jun 2, 2025
Acceptability of Active and Passive Data Collection Methods for Mobile Health Research: Cross-sectional Survey of an Online Adult Sample in the United States
ABSTRACT
Background:
Digital health technologies, including wearable technologies and app-based cognitive and health assessments are pervasive and crucial to better understanding important Public Health problems (e.g., Alzheimer’s Disease and Related Dementias, ADRD).
Objective:
This survey was designed to learn more about attitudes and opinions related to digital health technologies and related data.
Methods:
One thousand five hundred and nine adults were recruited from Prolific (www.prolific.co) to complete an online survey via Qualtrics.
Results:
People were most willing to share data streams with clear health implications, and least willing to share data streams with privacy and re-identification potential (e.g., GPS location, in-vehicle dashcam). People expect controls over their data, including the ability to delete all or specific streams of the data they contribute for research.
Conclusions:
Implications for the design of digital health technologies and education on resultant data are discussed.
Citation
