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      Prevalence, Factors, and Association of Electronic Communication Use With Patient-Perceived Quality of Care From the 2019 Health Information National Trends Survey 5-Cycle 3: Exploratory Study

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          Abstract

          Background

          Electronic communication (e-communication), referring to communication through electronic platforms such as the web, patient portal, or mobile phone, has become increasingly important, as it extends traditional in-person communication with fewer limitations of timing and locations. However, little is known about the current status of patients’ use of e-communication with clinicians and whether the use is related to the better patient-perceived quality of care at the population level.

          Objective

          The aim of this study was to explore the prevalence of and the factors associated with e-communication use and the association of e-communication use with patient-perceived quality of care by using the nationally representative sample of the 2019 Health Information National Trends Survey 5 (HINTS 5)-Cycle 3.

          Methods

          Data from 5438 adult responders (mean age 49.04 years, range 18-98 years) were included in this analysis. Multiple logistic and linear regressions were conducted to explore responders’ personal characteristics related to their use of e-communication with clinicians in the past 12 months and how their use was related to perceived quality of care. Descriptive analyses for e-communication use according to age groups were also performed. All analyses considered the complex survey design using the jackknife replication method.

          Results

          The overall prevalence of e-communication use was 60.3%, with a significantly lower prevalence in older adults (16.6%) than that in <45-year-old adults (41%) and 45-65-year-old adults (42.4%). All percentages are weighted; therefore, absolute values are not shown. American adults who used e-communication were more likely to be high school graduates (odds ratio [OR] 1.95, 95% CI 1.14-3.34; P=.02), some college degree holders (OR 3.34, 95% CI 1.84-6.05; P<.001), and college graduates or more (OR 4.89, 95% CI 2.67-8.95; P<.001). Further, people who were females (OR 1.47, 95% CI 1.18-1.82; P=.001), with a household income ≥US $50,000 (OR 1.63, 95% CI 1.23-2.16; P=.001), with more comorbidities (OR 1.22, 95% CI 1.07-1.40; P=.004), or having a regular health care provider (OR 2.62, 95% CI 1.98-3.47; P<.001), were more likely to use e-communication. In contrast, those who resided in rural areas (OR 0.61, 95% CI 0.43-0.88; P=.009) were less likely to use e-communication. After controlling for the sociodemographics, the number of comorbidities, and relationship factors (ie, having a regular provider and trusting a doctor), e-communication use was found to be significantly associated with better perceived quality of care (β=.12, 95% CI 0.02-0.22; P=.02).

          Conclusions

          This study confirmed the positive association between e-communication use and patient-perceived quality of care and suggested that policy-level attention should be raised to engage the socially disadvantaged (ie, those with lower levels of education and income, without a regular health care provider, and living in rural areas) to maximize e-communication use and to support better patient-perceived quality of care among American adults.

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          Most cited references52

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          Computer-Mediated Communication Effects on Disclosure, Impressions, and Interpersonal Evaluations: Getting to Know One Another a Bit at a Time

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            Predictors of eHealth Usage: Insights on The Digital Divide From the Health Information National Trends Survey 2012

            Background Recent eHealth developments have elevated the importance of assessing the extent to which technology has empowered patients and improved health, particularly among the most vulnerable populations. With noted disparities across racial and social groups in chronic health outcomes, such as cancer, obesity, and diabetes, it is essential that researchers examine any differences in the implementation, uptake, and impact of eHealth strategies across groups that bear a disproportionate burden of disease. Objective The goal was to examine eHealth use by sociodemographic factors, such as race/ethnicity, socioeconomic status (SES), age, and sex. Methods We drew data from National Cancer Institute’s 2012 Health Information National Trends Survey (HINTS) (N=3959) which is publicly available online. We estimated multivariable logistic regression models to assess sociodemographic predictors of eHealth use among adult Internet users (N=2358) across 3 health communication domains (health care, health information–seeking, and user-generated content/sharing). Results Among online adults, we saw no evidence of a digital use divide by race/ethnicity. However, there were significant differences in use by SES, particularly for health care and health information–seeking items. Patients with lower levels of education had significantly lower odds of going online to look for a health care provider (high school or less: OR 0.50, 95% CI 0.33-0.76) using email or the Internet to communicate with a doctor (high school or less: OR 0.46, 95% CI 0.29-0.72), tracking their personal health information online (high school or less: OR 0.53, 95% CI 0.32-0.84), using a website to help track diet, weight, and physical activity (high school or less: OR 0.64, 95% CI 0.42-0.98; some college: OR 0.67, 95% CI 0.49-0.93), or downloading health information to a mobile device (some college: OR 0.54, 95% CI 0.33-0.89). Being female was a consistent predictor of eHealth use across health care and user-generated content/sharing domains, whereas age was primarily influential for health information–seeking. Conclusions This study illustrates that lower SES, older, and male online US adults were less likely to engage in a number of eHealth activities compared to their counterparts. Future studies should assess issues of health literacy and eHealth literacy and their influence on eHealth engagement across social groups. Clinical care and public health communication efforts attempting to leverage Web 2.0 and 3.0 platforms should acknowledge differential eHealth usage to better address communication inequalities and persistent disparities in health.
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              The Health Information National Trends Survey (HINTS): development, design, and dissemination.

              Little is known about access, sources, and trust of cancer-related information, or factors that facilitate or hinder communication on a population-wide basis. Through a careful developmental process involving extensive input from many individuals and organizations, the National Cancer Institute (NCI) developed the Health Information National Trends Survey (HINTS) to help fill this gap. This nationally representative telephone survey of 6,369 persons aged > or = 18 years among the general population was first conducted in 2002-2003, and will be repeated biennially depending on availability of funding. The purpose of creating a population survey to be repeated on a cyclical basis is to track trends in the public's rapidly changing use of new communication technologies while charting progress in meeting health communication goals in terms of the public's knowledge, attitudes, and behaviors. The HINTS survey instrument was built upon extant models of health communication and behavior change, taking into account the rapidly changing communication environment. Questions in the survey were drawn from an overall theoretical framework that juxtaposed the"push" aspects of traditional broadcast media against the"pull" aspects of new media. HINTS data will be made widely available for researchers and practitioners; it will help further research in health communication and health promotion and provide useful information for programs, policies, and practices in a variety of settings.
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                Author and article information

                Contributors
                Journal
                J Med Internet Res
                J Med Internet Res
                JMIR
                Journal of Medical Internet Research
                JMIR Publications (Toronto, Canada )
                1439-4456
                1438-8871
                February 2022
                4 February 2022
                : 24
                : 2
                : e27167
                Affiliations
                [1 ] School of Nursing Nanjing Medical University Nanjing China
                [2 ] School of Nursing Southern Medical University Guangzhou China
                [3 ] School of Nursing University of Michigan Ann Arbor, MI United States
                Author notes
                Corresponding Author: Rumei Yang rumeiyang@ 123456njmu.edu.cn
                Author information
                https://orcid.org/0000-0001-9971-2507
                https://orcid.org/0000-0002-0234-9076
                https://orcid.org/0000-0001-6737-5016
                Article
                v24i2e27167
                10.2196/27167
                8857700
                35119369
                f2e7742e-97b2-422d-851e-d06f0d84f3c8
                ©Rumei Yang, Kai Zeng, Yun Jiang. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 04.02.2022.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included.

                History
                : 13 January 2021
                : 17 March 2021
                : 25 June 2021
                : 10 November 2021
                Categories
                Original Paper
                Original Paper

                Medicine
                electronic communication,quality of care,person-related characteristics,patient preference,hints

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