Behavioral Research Program, Division of Cancer Control and Population Sciences, US National Cancer Institute, Rockville, MD, United States.
Health Care Delivery Research Program, Division of Cancer Control and Population Sciences, US National Cancer Institute, Rockville, MD, United States.
JMIR Mhealth Uhealth. 2021 Dec 13;9(12):e29190. doi: 10.2196/29190.
Sharing data from wearable health and activity trackers (wearables) with others may improve the health and behavioral outcomes of wearable users by generating social support and improving their ability to manage their health. Investigating individual factors that influence US adults' willingness to share wearable data with different types of individuals may provide insights about the population subgroups that are most or least likely to benefit from wearable interventions. Specifically, it is necessary to identify digital health behaviors potentially associated with willingness to share wearable data given that the use of and engagement with various technologies may broadly influence web-based health information-sharing behaviors.
This study aims to identify sociodemographic, health, and digital health behavior correlates of US adults' willingness to share wearable data with health care providers and family or friends.
Data for the analytic sample (N=1300) were obtained from the 2019 Health Information National Trends Survey of the National Cancer Institute. Digital health behavior measures included frequency of wearable device use, use of smartphones or tablets to help communicate with providers, use of social networking sites to share health information, and participation in a web-based health community. Multivariable logistic regression analysis of weighted data examined the associations between digital health behaviors and willingness to share wearable device data, controlling for sociodemographics and health-related characteristics.
Most US adults reported willingness to share wearable data with providers (81.86%) and with family or friends (69.51%). Those who reported higher health self-efficacy (odds ratio [OR] 1.97, 95% CI 1.11-3.51), higher level of trust in providers as a source of health information (OR 1.98, 95% CI 1.12-3.49), and higher level of physical activity (OR 2.00, 95% CI 1.21-3.31) had greater odds of willingness to share data with providers. In addition, those with a higher frequency of wearable use (OR 2.15, 95% CI 1.35-3.43) and those who reported use of smartphones or tablets to help communicate with providers (OR 1.99, 95% CI 1.09-3.63) had greater odds of willingness to share data with providers. Only higher level of physical activity was associated with greater odds of willingness to share wearable data with family or friends (OR 1.70, 95% CI 1.02-2.84). Sociodemographic factors were not significantly associated with willingness to share wearable data.
The findings of this study suggest that, among US adult wearable users, behavior-related factors, rather than sociodemographic characteristics, are key drivers of willingness to share health information obtained from wearables with others. Moreover, behavioral correlates of willingness to share wearable data are unique to the type of recipient (ie, providers vs family or friends). Future studies could use these findings to inform the development of interventions that aim to improve the use of patient-generated data from wearable devices in health care settings.
与他人共享可穿戴健康和活动追踪器(可穿戴设备)的数据,通过生成社会支持并提高他们管理健康的能力,可能会改善可穿戴设备用户的健康和行为结果。研究影响美国成年人愿意与不同类型的个人共享可穿戴数据的个体因素,可能会提供有关最有可能或最不可能从可穿戴干预中受益的人群亚组的信息。具体来说,鉴于各种技术的使用和参与可能会广泛影响基于网络的健康信息共享行为,因此有必要确定与愿意共享可穿戴数据相关的数字健康行为。
本研究旨在确定美国成年人愿意与医疗保健提供者和家人或朋友共享可穿戴数据的社会人口统计学、健康和数字健康行为相关性。
分析样本(N=1300)的数据来自美国国家癌症研究所的 2019 年健康信息国家趋势调查。数字健康行为措施包括可穿戴设备使用频率、使用智能手机或平板电脑与提供者沟通、使用社交网站共享健康信息以及参与基于网络的健康社区。对加权数据进行多变量逻辑回归分析,控制社会人口统计学和与健康相关的特征,研究数字健康行为与愿意共享可穿戴设备数据之间的关联。
大多数美国成年人表示愿意与提供者(81.86%)和家人或朋友(69.51%)共享可穿戴设备数据。那些报告更高的健康自我效能感(比值比[OR]1.97,95%置信区间[CI]1.11-3.51)、更高水平的信任提供者作为健康信息来源(OR 1.98,95%CI 1.12-3.49)和更高水平的身体活动(OR 2.00,95%CI 1.21-3.31)的人更有可能愿意与提供者共享数据。此外,那些更频繁使用可穿戴设备(OR 2.15,95%CI 1.35-3.43)和报告使用智能手机或平板电脑与提供者沟通的人(OR 1.99,95%CI 1.09-3.63)更有可能愿意与提供者共享数据。只有更高水平的身体活动与更愿意与家人或朋友共享可穿戴数据有关(OR 1.70,95%CI 1.02-2.84)。社会人口统计学因素与愿意共享可穿戴数据没有显著关联。
本研究结果表明,在美国成年可穿戴设备用户中,行为相关因素而不是社会人口统计学特征是愿意与他人共享可穿戴设备获取的健康信息的关键驱动因素。此外,愿意与他人共享可穿戴数据的行为相关性是针对接收者类型(即提供者与家人或朋友)的独特因素。未来的研究可以利用这些发现为旨在改善医疗保健环境中可穿戴设备生成数据使用的干预措施的开发提供信息。