Determinants of American Adults' Use of Digital Health and Willingness to Share Health Data to Providers, Family, and Social Media

Author:

Tolentino Dante AnthonyORCID,Costa Deena K.,Jiang Yun

Abstract

With the global pandemic driving the adoption of digital health, understanding the predictors or determinants of digital health usage and information sharing gives an opportunity to advocate for broader adoption. We examined the prevalence and predictors of digital health usage and information-sharing behaviors among American adults. Data were from the Health Information National Trends Survey 5 Cycle 4. More than two-thirds used a digital resource for health-related activities (eg, to check test results). About 81% were willing to share their digital data with their provider, 75% with family, and 58% with friends. Only 14% shared health information on social media. Gender, education, device types, and performance expectancy of digital health were common factors associated with both digital health usage and information-sharing behaviors. Other predictors included rurality, patient portal access, income, and having a chronic disease. Of note, we found that Asian American Pacific Islanders, compared with Whites, were less likely to share information with providers. Performance expectancy was a significant determinant of information sharing. Those diagnosed with diabetes were 4% less likely to share information with their providers. With the growing digital divide, there is a need to advocate for more usable and accessible digital health to assist with person-centered care.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Nursing (miscellaneous),Health Informatics

Reference34 articles.

1. Benefits, barriers, and impact of patient portals and mHealth applications;Pharmacy Today,2017

2. Patient portals and health apps: pitfalls, promises, and what one might learn from the other;Healthcare,2017

3. Impact of use frequency of a mobile diabetes management app on blood glucose control: evaluation study;JMIR mHealth and uHealth,2019

4. A review of technology-based interventions in improving type 2 diabetes management in Chinese Americans;Asian/Pacific Island Nursing Journal,2019

5. The impact of digital health interventions on health-related outcomes in the workplace: a systematic review;Digital Health,2018

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