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Dataset Information

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 devices and app-based cognitive and health assessments, are pervasive and crucial to better understanding important public health problems (eg, Alzheimer's disease and related dementias). Central to understanding mechanisms driving individuals' willingness to share various data streams are concerns regarding data privacy, security, and control over generated data.

Objective

This survey was designed to learn more about attitudes and opinions related to digital health technologies and the sharing of associated data.

Methods

A total of 1509 adults were recruited from Prolific to complete an online survey via Qualtrics. Of these, 1489 participants provided valid data for analyses. Participants completed a structur

SUBMITTER: Roque N 

PROVIDER: S-EPMC12431785 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature