Accepted for/Published in: Journal of Medical Internet Research
Date Submitted: May 1, 2020
Date Accepted: Sep 12, 2021
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Willingness to Donate Wearable Device Data to Research: A Web-based Survey of Mechanical Turk Workers
ABSTRACT
Background:
Wearable devices used for observational research and clinical trials hold promise to collect data from study participants in a convenient, scalable way, that is more likely to reach a broad and diverse population than traditional research approaches. Amazon Mechanical Turk (MTurk) is a potential resource for researchers to recruit individuals into studies that use data from wearable devices.
Objective:
This work aimed to explore MTurk wearable device users’ characteristics associated with a willingness to donate wearable device data for research use.
Methods:
This is a secondary analysis of a cross-sectional survey study of MTurk workers who use health monitoring devices. A 19-question Web-based survey was administered from March 1st to April 5th, 2018 to participants 18 years or older using the MTurk platform. In order to identify characteristics associated with willingness to donate wearable device data, we performed logistic regression and decision tree analyses.
Results:
A total of 935 MTurk workers who use wearable devices completed the survey. The majority of respondents (615/935, 66%) indicated a willingness to donate their wearable device data. Findings from logistic regression analyses indicated Indian nationality (OR=2.74, 95% CI 1.48-4.01), higher annual income (OR=2.46, 95% CI 1.26-3.67), over six months of using wearable device(s) (OR1.75, 95% CI 1.21-2.29) and heartbeat/pulse track type of monitoring device (OR=1.60, 95% CI .14-2.07) as significant parameters influencing a willingness to donate. Findings from decision tree analyses indicated three leading parameters associated with a willingness to donate: duration of wearable device use, nationality, and income.
Conclusions:
Most wearable device users indicated a willingness to donate their data for research use. The probability of a willingness to donate these data was higher among individuals who had used a wearable for more than six months, or were of Indian nationality, or were of American nationality with annual income of more than $20,000 US dollars.
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