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Digital Health Engagement in the US Population: Insights From the 2018 Health Information National Trends Survey
Chelsea L Ratcliff1, Melinda Krakow1, Alexandra Greenberg-Worisek1
1Chelsea L. Ratcliff is with the Department of Communication Studies, University of Georgia, Athens. Melinda Krakow is with the University of Mississippi Medical Center, Jackson, and during the study was also with the Health Communication and Informatics Research Branch, National Cancer Institute, Bethesda, MD. Alexandra Greenberg-Worisek was with Mayo Clinic College of Medicine, Rochester, MN, during the study. Bradford W. Hesse served as branch chief for the Health Communication and Informatics Research Branch, National Cancer Institute, Bethesda, when this work began; he has since retired.
Abstract:
Objectives. To examine prevalence and predictors of digital health engagement among the US population. Methods. We analyzed nationally representative cross-sectional data on 7 digital health engagement behaviors, as well as demographic and socioeconomic predictors, from the Health Information National Trends Survey (HINTS 5, cycle 2, collected in 2018; n = 2698-3504). We fitted multivariable logistic regression models using weighted survey responses to generate population estimates. Results. Digitally seeking health information (70.14%) was relatively common, whereas using health apps (39.53%) and using a digital device to track health metrics (35.37%) or health goal progress (38.99%) were less common. Digitally communicating with one's health care providers (35.58%) was moderate, whereas sharing health data with providers (17.20%) and sharing health information on social media (14.02%) were uncommon. Being female, younger than 65 years, a college graduate, and a smart device owner positively predicted several digital health engagement behaviors (odds ratio range = 0.09-4.21; P value range < .001-.03). Conclusions. Many public health goals depend on a digitally engaged populace. These data highlight potential barriers to 7 key digital engagement behaviors that could be targeted for intervention.
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