Willingness to Share Wearable Device Data for Research Among Mechanical Turk Workers: Web-Based Survey Study

BackgroundWearable devices that are used for observational research and clinical trials hold promise for collecting data from study participants in a convenient, scalable way that is more likely to reach a broad and diverse population than traditional research approaches. Ama...

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Main Authors: Casey Overby Taylor, Natalie Flaks-Manov, Shankar Ramesh, Eun Kyoung Choe
Format: Article
Language:English
Published: JMIR Publications 2021-10-01
Series:Journal of Medical Internet Research
Online Access:https://www.jmir.org/2021/10/e19789
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author Casey Overby Taylor
Natalie Flaks-Manov
Shankar Ramesh
Eun Kyoung Choe
author_facet Casey Overby Taylor
Natalie Flaks-Manov
Shankar Ramesh
Eun Kyoung Choe
author_sort Casey Overby Taylor
collection DOAJ
description BackgroundWearable devices that are used for observational research and clinical trials hold promise for collecting 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 that researchers can use to recruit individuals into studies that use data from wearable devices. ObjectiveThis study aimed to explore the characteristics of wearable device users on MTurk that are associated with a willingness to share wearable device data for research. We also aimed to determine whether compensation was a factor that influenced the willingness to share such data. MethodsThis was a secondary analysis of a cross-sectional survey study of MTurk workers who use wearable devices for health monitoring. A 19-question web-based survey was administered from March 1 to April 5, 2018, to participants aged ≥18 years by using the MTurk platform. In order to identify characteristics that were associated with a willingness to share 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 indicated a willingness to share their wearable device data (615/935, 65.8%), and the majority of these respondents were willing to share their data if they received compensation (518/615, 84.2%). The findings from our logistic regression analyses indicated that Indian nationality (odds ratio [OR] 2.74, 95% CI 1.48-4.01, P=.007), higher annual income (OR 2.46, 95% CI 1.26-3.67, P=.02), over 6 months of using a wearable device (OR 1.75, 95% CI 1.21-2.29, P=.006), and the use of heartbeat and pulse tracking monitoring devices (OR 1.60, 95% CI 0.14-2.07, P=.01) are significant parameters that influence the willingness to share data. The only factor associated with a willingness to share data if compensation is provided was Indian nationality (OR 0.47, 95% CI 0.24-0.9, P=.02). The findings from our decision tree analyses indicated that the three leading parameters associated with a willingness to share data were the duration of wearable device use, nationality, and income. ConclusionsMost wearable device users indicated a willingness to share their data for research use (with or without compensation; 615/935, 65.8%). The probability of having a willingness to share these data was higher among individuals who had used a wearable for more than 6 months, were of Indian nationality, or were of American (United States of America) nationality and had an annual income of more than US $20,000. Individuals of Indian nationality who were willing to share their data expected compensation significantly less often than individuals of American nationality (P=.02).
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spelling doaj.art-8bbc3e73480e4f828fa2d53c19d50e062023-08-28T19:34:16ZengJMIR PublicationsJournal of Medical Internet Research1438-88712021-10-012310e1978910.2196/19789Willingness to Share Wearable Device Data for Research Among Mechanical Turk Workers: Web-Based Survey StudyCasey Overby Taylorhttps://orcid.org/0000-0001-9302-5968Natalie Flaks-Manovhttps://orcid.org/0000-0002-9163-6295Shankar Rameshhttps://orcid.org/0000-0003-4869-266XEun Kyoung Choehttps://orcid.org/0000-0001-5038-8320 BackgroundWearable devices that are used for observational research and clinical trials hold promise for collecting 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 that researchers can use to recruit individuals into studies that use data from wearable devices. ObjectiveThis study aimed to explore the characteristics of wearable device users on MTurk that are associated with a willingness to share wearable device data for research. We also aimed to determine whether compensation was a factor that influenced the willingness to share such data. MethodsThis was a secondary analysis of a cross-sectional survey study of MTurk workers who use wearable devices for health monitoring. A 19-question web-based survey was administered from March 1 to April 5, 2018, to participants aged ≥18 years by using the MTurk platform. In order to identify characteristics that were associated with a willingness to share 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 indicated a willingness to share their wearable device data (615/935, 65.8%), and the majority of these respondents were willing to share their data if they received compensation (518/615, 84.2%). The findings from our logistic regression analyses indicated that Indian nationality (odds ratio [OR] 2.74, 95% CI 1.48-4.01, P=.007), higher annual income (OR 2.46, 95% CI 1.26-3.67, P=.02), over 6 months of using a wearable device (OR 1.75, 95% CI 1.21-2.29, P=.006), and the use of heartbeat and pulse tracking monitoring devices (OR 1.60, 95% CI 0.14-2.07, P=.01) are significant parameters that influence the willingness to share data. The only factor associated with a willingness to share data if compensation is provided was Indian nationality (OR 0.47, 95% CI 0.24-0.9, P=.02). The findings from our decision tree analyses indicated that the three leading parameters associated with a willingness to share data were the duration of wearable device use, nationality, and income. ConclusionsMost wearable device users indicated a willingness to share their data for research use (with or without compensation; 615/935, 65.8%). The probability of having a willingness to share these data was higher among individuals who had used a wearable for more than 6 months, were of Indian nationality, or were of American (United States of America) nationality and had an annual income of more than US $20,000. Individuals of Indian nationality who were willing to share their data expected compensation significantly less often than individuals of American nationality (P=.02).https://www.jmir.org/2021/10/e19789
spellingShingle Casey Overby Taylor
Natalie Flaks-Manov
Shankar Ramesh
Eun Kyoung Choe
Willingness to Share Wearable Device Data for Research Among Mechanical Turk Workers: Web-Based Survey Study
Journal of Medical Internet Research
title Willingness to Share Wearable Device Data for Research Among Mechanical Turk Workers: Web-Based Survey Study
title_full Willingness to Share Wearable Device Data for Research Among Mechanical Turk Workers: Web-Based Survey Study
title_fullStr Willingness to Share Wearable Device Data for Research Among Mechanical Turk Workers: Web-Based Survey Study
title_full_unstemmed Willingness to Share Wearable Device Data for Research Among Mechanical Turk Workers: Web-Based Survey Study
title_short Willingness to Share Wearable Device Data for Research Among Mechanical Turk Workers: Web-Based Survey Study
title_sort willingness to share wearable device data for research among mechanical turk workers web based survey study
url https://www.jmir.org/2021/10/e19789
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