Willingness to Share Wearable Device Data for Research Among Mechanical Turk Workers: Web-Based Survey Study.
Willingness to Share Wearable Device Data for Research Among Mechanical Turk Workers: Web-Based Survey Study.
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DOI：
10.2196/19789
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发表时间：
2021-10-21
影响因子：
7.4
通讯作者：
Choe EK
中科院分区：
文献类型：
--
作者：
Taylor CO;Flaks-Manov N;Ramesh S;Choe EK
用于观察性研究和临床试验的可穿戴设备有望以一种方便、可扩展的方式从研究参与者那里收集数据，与传统研究方法相比，这种方式更有可能接触到广泛而多样化的人群。Amazon Mechanical Turk（MTurk）是一种潜在的资源，研究人员可以使用它招募个人参与使用可穿戴设备数据的研究。本研究旨在探索MTurk上可穿戴设备用户的特征，这些特征与共享可穿戴设备数据用于研究的意愿相关。我们还旨在确定薪酬是否是影响共享此类数据意愿的一个因素。这是对使用可穿戴设备进行健康监测的MTurk工作人员的横断面调查研究的二次分析。2018年3月1日至4月5日，使用MTurk平台对年龄≥18岁的参与者进行了一项19个问题的网络调查。为了识别与共享可穿戴设备数据的意愿相关的特征，我们进行了逻辑回归和决策树分析。 共有935名使用可穿戴设备的MTurk员工完成了调查。大多数受访者表示愿意分享他们的可穿戴设备数据（615/935，65.8%），并且大多数受访者愿意在获得补偿的情况下分享他们的数据（518/615，84.2%）。我们的逻辑回归分析结果表明，印度国籍（比值比[OR] 2.74，95% CI 1.48-4.01，P=.007），年收入较高（OR 2.46，95% CI 1.26-3.67，P=.02），使用可穿戴设备超过6个月（OR 1.75，95% CI 1.21-2.29，P=.006），以及使用心跳和脉搏跟踪监测设备（OR 1.60，95%CI 0.14-2.07，P=.01）是影响共享数据意愿的重要参数。如果提供补偿，与愿意分享数据相关的唯一因素是印度国籍（OR 0.47，95%CI 0.24-0.9，P= 0.02）。我们的决策树分析结果表明，与共享数据意愿相关的三个主要参数是可穿戴设备使用时间、国籍和收入。大多数可穿戴设备用户表示愿意分享他们的数据用于研究（有或没有补偿; 615/935，65.8%）。在使用可穿戴设备超过6个月、印度国籍或美国（美利坚合众国）国籍且年收入超过20，000美元的个人中，愿意分享这些数据的概率更高。愿意分享他们的数据的印度国籍的个人期望补偿显着低于美国国籍的个人（P=.02）。
Wearable 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. This 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. This 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. 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. Most 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).