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Association between the location of social medical insurance and social integration among China’s elderly rural migrants: a nationwide cross-sectional study

BACKGROUND: Universal social medical insurance coverage is viewed as a major factor in promoting social integration, but insufficient evidence exists on the integration of elderly rural migrants (ERM), generally aged 60 years and above, in low- and middle-income countries. To address this problem, w...

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Autores principales: Ma, Xiaojie, Feng, Wenjia, Shi, Chaojun, Wang, Yifan, Gao, Qianqian, Cai, Weiqin, An, Hongqing, Jing, Qi, Gao, Runguo, Ma, Anning
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10604806/
https://www.ncbi.nlm.nih.gov/pubmed/37884916
http://dx.doi.org/10.1186/s12889-023-16956-2
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author Ma, Xiaojie
Feng, Wenjia
Shi, Chaojun
Wang, Yifan
Gao, Qianqian
Cai, Weiqin
An, Hongqing
Jing, Qi
Gao, Runguo
Ma, Anning
author_facet Ma, Xiaojie
Feng, Wenjia
Shi, Chaojun
Wang, Yifan
Gao, Qianqian
Cai, Weiqin
An, Hongqing
Jing, Qi
Gao, Runguo
Ma, Anning
author_sort Ma, Xiaojie
collection PubMed
description BACKGROUND: Universal social medical insurance coverage is viewed as a major factor in promoting social integration, but insufficient evidence exists on the integration of elderly rural migrants (ERM), generally aged 60 years and above, in low- and middle-income countries. To address this problem, we explore the relationship between the location of social medical insurance (SMI), such as a host city, and social integration in the context of Chinese ERM. METHODS: This study is based on data from the 2017 National Internal Migrant Dynamic Monitoring Survey in China. The study participants were Chinese ERM. An integration index was constructed to measure the degree of social integration in a multi-dimensional manner using a factor analysis method. This study used descriptive statistics and one-way analysis of variance to explore the differences in social integration between ERM with SMI from host cities and hometowns. Stepwise multiple linear regression analysis was used to test the correlation between SMI location and social integration level in the overall sample. Finally, the results were verified by propensity score matching. RESULTS: It was found that 606 (18.2%) of the insured ERM chose host city SMI, while 2727 (81.8%) chose hometown SMI. The level of social integration was lower among ERM with hometown SMI (-1.438 ± 32.795, F = 28.311, p ≤ 0.01) than those with host city SMI (6.649 ± 34.383). Among the dimensions of social integration, social participation contributed more than other factors, with a contribution rate of 45.42%. Host city SMI increased the probability of the social integration index by 647% among ERM (k-nearest neighbor caliper matched (n = 4, caliper = 0.02), with a full sample ATT value of 6.47 (T = 5.32, SE = 1.48, p < 0.05)). CONCLUSIONS: ERM with host city SMI have a higher social integration level than those with hometowns SMI. That is, host city SMI positively affects social integration. Policymakers should focus on the access of host city SMI for ERM. Removing the threshold of host city SMI coverage for ERM can promote social integration.
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spelling pubmed-106048062023-10-28 Association between the location of social medical insurance and social integration among China’s elderly rural migrants: a nationwide cross-sectional study Ma, Xiaojie Feng, Wenjia Shi, Chaojun Wang, Yifan Gao, Qianqian Cai, Weiqin An, Hongqing Jing, Qi Gao, Runguo Ma, Anning BMC Public Health Research BACKGROUND: Universal social medical insurance coverage is viewed as a major factor in promoting social integration, but insufficient evidence exists on the integration of elderly rural migrants (ERM), generally aged 60 years and above, in low- and middle-income countries. To address this problem, we explore the relationship between the location of social medical insurance (SMI), such as a host city, and social integration in the context of Chinese ERM. METHODS: This study is based on data from the 2017 National Internal Migrant Dynamic Monitoring Survey in China. The study participants were Chinese ERM. An integration index was constructed to measure the degree of social integration in a multi-dimensional manner using a factor analysis method. This study used descriptive statistics and one-way analysis of variance to explore the differences in social integration between ERM with SMI from host cities and hometowns. Stepwise multiple linear regression analysis was used to test the correlation between SMI location and social integration level in the overall sample. Finally, the results were verified by propensity score matching. RESULTS: It was found that 606 (18.2%) of the insured ERM chose host city SMI, while 2727 (81.8%) chose hometown SMI. The level of social integration was lower among ERM with hometown SMI (-1.438 ± 32.795, F = 28.311, p ≤ 0.01) than those with host city SMI (6.649 ± 34.383). Among the dimensions of social integration, social participation contributed more than other factors, with a contribution rate of 45.42%. Host city SMI increased the probability of the social integration index by 647% among ERM (k-nearest neighbor caliper matched (n = 4, caliper = 0.02), with a full sample ATT value of 6.47 (T = 5.32, SE = 1.48, p < 0.05)). CONCLUSIONS: ERM with host city SMI have a higher social integration level than those with hometowns SMI. That is, host city SMI positively affects social integration. Policymakers should focus on the access of host city SMI for ERM. Removing the threshold of host city SMI coverage for ERM can promote social integration. BioMed Central 2023-10-27 /pmc/articles/PMC10604806/ /pubmed/37884916 http://dx.doi.org/10.1186/s12889-023-16956-2 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Ma, Xiaojie
Feng, Wenjia
Shi, Chaojun
Wang, Yifan
Gao, Qianqian
Cai, Weiqin
An, Hongqing
Jing, Qi
Gao, Runguo
Ma, Anning
Association between the location of social medical insurance and social integration among China’s elderly rural migrants: a nationwide cross-sectional study
title Association between the location of social medical insurance and social integration among China’s elderly rural migrants: a nationwide cross-sectional study
title_full Association between the location of social medical insurance and social integration among China’s elderly rural migrants: a nationwide cross-sectional study
title_fullStr Association between the location of social medical insurance and social integration among China’s elderly rural migrants: a nationwide cross-sectional study
title_full_unstemmed Association between the location of social medical insurance and social integration among China’s elderly rural migrants: a nationwide cross-sectional study
title_short Association between the location of social medical insurance and social integration among China’s elderly rural migrants: a nationwide cross-sectional study
title_sort association between the location of social medical insurance and social integration among china’s elderly rural migrants: a nationwide cross-sectional study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10604806/
https://www.ncbi.nlm.nih.gov/pubmed/37884916
http://dx.doi.org/10.1186/s12889-023-16956-2
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