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      Digital Health Engagement in the US Population: Insights From the 2018 Health Information National Trends Survey

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          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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          A new initiative on precision medicine.

          President Obama has announced a research initiative that aims to accelerate progress toward a new era of precision medicine, with a near-term focus on cancers and a longer-term aim to generate knowledge applicable to the whole range of health and disease.
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            Digital inequalities and why they matter

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              Is Open Access

              Utilizing social media data for pharmacovigilance: A review.

              Automatic monitoring of Adverse Drug Reactions (ADRs), defined as adverse patient outcomes caused by medications, is a challenging research problem that is currently receiving significant attention from the medical informatics community. In recent years, user-posted data on social media, primarily due to its sheer volume, has become a useful resource for ADR monitoring. Research using social media data has progressed using various data sources and techniques, making it difficult to compare distinct systems and their performances. In this paper, we perform a methodical review to characterize the different approaches to ADR detection/extraction from social media, and their applicability to pharmacovigilance. In addition, we present a potential systematic pathway to ADR monitoring from social media.
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                Author and article information

                Journal
                American Journal of Public Health
                Am J Public Health
                American Public Health Association
                0090-0036
                1541-0048
                July 2021
                July 2021
                : 111
                : 7
                : 1348-1351
                Affiliations
                [1 ]Chelsea 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...
                Article
                10.2105/AJPH.2021.306282
                34014759
                3100d68e-86f0-4334-a818-26b135e6a935
                © 2021
                History

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