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The Digital Divide and Health Disparities in China: Evidence From a National Survey and Policy Implications
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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5613190/ https://www.ncbi.nlm.nih.gov/pubmed/28893724 http://dx.doi.org/10.2196/jmir.7786 |
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author | Hong, Y Alicia Zhou, Zi Fang, Ya Shi, Leiyu |
author_facet | Hong, Y Alicia Zhou, Zi Fang, Ya Shi, Leiyu |
author_sort | Hong, Y Alicia |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5613190 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-56131902017-10-05 The Digital Divide and Health Disparities in China: Evidence From a National Survey and Policy Implications Hong, Y Alicia Zhou, Zi Fang, Ya Shi, Leiyu J Med Internet Res Original Paper 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. JMIR Publications 2017-09-11 /pmc/articles/PMC5613190/ /pubmed/28893724 http://dx.doi.org/10.2196/jmir.7786 Text en ©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. https://creativecommons.org/licenses/by/4.0/ 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. |
spellingShingle | Original Paper Hong, Y Alicia Zhou, Zi Fang, Ya Shi, Leiyu The Digital Divide and Health Disparities in China: Evidence From a National Survey and Policy Implications |
title | The Digital Divide and Health Disparities in China: Evidence From a National Survey and Policy Implications |
title_full | The Digital Divide and Health Disparities in China: Evidence From a National Survey and Policy Implications |
title_fullStr | The Digital Divide and Health Disparities in China: Evidence From a National Survey and Policy Implications |
title_full_unstemmed | The Digital Divide and Health Disparities in China: Evidence From a National Survey and Policy Implications |
title_short | The Digital Divide and Health Disparities in China: Evidence From a National Survey and Policy Implications |
title_sort | digital divide and health disparities in china: evidence from a national survey and policy implications |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5613190/ https://www.ncbi.nlm.nih.gov/pubmed/28893724 http://dx.doi.org/10.2196/jmir.7786 |
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