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      The Digital Divide and Health Disparities in China: Evidence From a National Survey and Policy Implications

      research-article
      , PhD 1 , 2 , , , PhD 1 , , MD, PhD 1 , , DrPH 3
      (Reviewer), (Reviewer)
      Journal of Medical Internet Research
      JMIR Publications
      digital divide, health disparities, Internet, mobile phone, China

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          Abstract

          Background

          The digital divide persists despite broad accessibility of mobile tools. The relationship between the digital divide and health disparities reflects social status in terms of access to resources and health outcomes; however, data on this relationship are limited from developing countries such as China.

          Objective

          The aim of this study was to examine the current rates of access to mobile tools (Internet use and mobile phone ownership) among older Chinese individuals (aged ≥45 years), the predictors of access at individual and community levels, and the relationship between access to mobile tools and health outcomes.

          Methods

          We drew cross-sectional data from a national representative survey, the China Health and Retirement Longitudinal Study (CHARLS), which focused on the older population (aged ≥45 years). We used two-level mixed logistic regression models, controlling for unobserved heterogeneity at the community and individual levels for data analysis. In addition to individual-level socioeconomic status (SES), we included community-level resources such as neighborhood amenities, health care facilities, and community organizations. Health outcomes were measured by self-reported health and absence of disability based on validated scales.

          Results

          Among the 18,215 participants, 6.51% had used the Internet in the past month, and 83% owned a mobile phone. In the multivariate models, Internet use was strongly associated with SES, rural or urban residence, neighborhood amenities, community resources, and geographic region. Mobile phone ownership was strongly associated with SES and rural/urban residence but not so much with neighborhood amenities and community resources. Internet use was a significant predictor of self-reported health status, and mobile phone ownership was significantly associated with having disability even after controlling for potential confounders at the individual and community levels.

          Conclusions

          This study is one of the first to examine digital divide and its relationship with health disparities in China. The data showed a significant digital divide in China, especially in the older population. Internet access is still limited to people with higher SES; however, the mobile phone has been adopted by the general population. The digital divide is associated with not only individual SES but also community resources. Future electronic health (eHealth) programs need to consider the accessibility of mobile tools and develop culturally appropriate programs for various social groups.

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          Most cited references46

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          Multiple Imputation for Multivariate Missing-Data Problems: A Data Analyst's Perspective.

          Analyses of multivariate data are frequently hampered by missing values. Until recently, the only missing-data methods available to most data analysts have been relatively ad1 hoc practices such as listwise deletion. Recent dramatic advances in theoretical and computational statistics, however, have produced anew generation of flexible procedures with a sound statistical basis. These procedures involve multiple imputation (Rubin, 1987), a simulation technique that replaces each missing datum with a set of m > 1 plausible values. The rn versions of the complete data are analyzed by standard complete-data methods, and the results are combined using simple rules to yield estimates, standard errors, and p-values that formally incorporate missing-data uncertainty. New computational algorithms and software described in a recent book (Schafer, 1997a) allow us to create proper multiple imputations in complex multivariate settings. This article reviews the key ideas of multiple imputation, discusses the software programs currently available, and demonstrates their use on data from the Adolescent Alcohol Prevention Trial (Hansen & Graham, 199 I).
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            Digital inequalities and why they matter

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              Digital Distinction: Status-Specific Types of Internet Usage

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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
                September 2017
                11 September 2017
                : 19
                : 9
                : e317
                Affiliations
                [1] 1 School of Public Health Xiamen University Xiamen China
                [2] 2 School of Public Health Texas A&M University College Station, TX United States
                [3] 3 Department of Health Policy and Management Bloomberg School of Public Health Johns Hopkins University Baltimore, MD United States
                Author notes
                Corresponding Author: Y Alicia Hong yhong@ 123456sph.tamhsc.edu
                Author information
                http://orcid.org/0000-0002-1481-6495
                http://orcid.org/0000-0001-7260-8136
                http://orcid.org/0000-0002-9895-3234
                http://orcid.org/0000-0001-9227-0849
                Article
                v19i9e317
                10.2196/jmir.7786
                5613190
                28893724
                1983e818-4100-4ab3-bc2c-b46b1d9678d3
                ©Y Alicia Hong, Zi Zhou, Ya Fang, Leiyu Shi. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 11.09.2017.

                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 http://www.jmir.org/, as well as this copyright and license information must be included.

                History
                : 29 March 2017
                : 28 June 2017
                : 12 July 2017
                : 12 July 2017
                Categories
                Original Paper
                Original Paper

                Medicine
                digital divide,health disparities,internet,mobile phone,china
                Medicine
                digital divide, health disparities, internet, mobile phone, china

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