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. 2021 Dec 13;9(12):e29190.
doi: 10.2196/29190.

Willingness to Share Data From Wearable Health and Activity Trackers: Analysis of the 2019 Health Information National Trends Survey Data

Affiliations

Willingness to Share Data From Wearable Health and Activity Trackers: Analysis of the 2019 Health Information National Trends Survey Data

Camella J Rising et al. JMIR Mhealth Uhealth. .

Abstract

Background: 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.

Objective: 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.

Methods: 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.

Results: 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.

Conclusions: 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.

Keywords: devices; health communication; mobile apps; mobile health; mobile phone; online social networking; population health; survey methodology.

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Conflict of interest statement

Conflicts of Interest: None declared.

References

    1. Xie Z, Jo A, Hong Y. Electronic wearable device and physical activity among US adults: an analysis of 2019 HINTS data. Int J Med Inform. 2020 Dec;144:104297. doi: 10.1016/j.ijmedinf.2020.104297.S1386-5056(20)30872-8 - DOI - PubMed
    1. Hyde ET, Omura JD, Fulton JE, Weldy A, Carlson SA. Physical activity surveillance using wearable activity monitors: are US adults willing to share their data? Am J Health Promot. 2020 Jul;34(6):672–6. doi: 10.1177/0890117119900587. - DOI - PubMed
    1. Vogels EA. About one-in-five Americans use a smart watch or fitness tracker. Pew Research Center. 2020. [2021-03-13]. https://www.pewresearch.org/fact-tank/2020/01/09/about-one-in-five-ameri...
    1. Omura JD, Carlson SA, Paul P, Watson KB, Fulton JE. National physical activity surveillance: users of wearable activity monitors as a potential data source. Prev Med Rep. 2017 Mar;5:124–6. doi: 10.1016/j.pmedr.2016.10.014. https://linkinghub.elsevier.com/retrieve/pii/S2211-3355(16)30130-9 S2211-3355(16)30130-9 - DOI - PMC - PubMed
    1. Dunn J, Runge R, Snyder M. Wearables and the medical revolution. Per Med. 2018 Sep;15(5):429–48. doi: 10.2217/pme-2018-0044. https://www.futuremedicine.com/doi/10.2217/pme-2018-0044 - DOI - PMC - PubMed

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