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Factors that dynamically affect provincial incidences of catastrophic health expenditure among middle-aged and elderly Chinese population-transition of disease financial risk protection from global to local

BACKGROUND: The high incidence of catastrophic health expenditure (ICHE) among middle-aged and elderly population is a major deterrent for reducing the financial risk of disease. Current research is predominantly based on the assumption of spatial homogeneity of nationwide population characteristics...

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Autores principales: Zhang, Xiyu, Miao, Wenqing, Wu, Bing, Lai, Yongqiang, Jiao, Mingli, Xia, Qi, Zhang, Chenxi, Tian, Wanxin, Song, Zhe, Shan, Linghan, Hu, Lingqin, Han, Xinhao, Yin, Hui, Cheng, Xiaonan, Li, Ye, Shi, Baoguo, Wu, Qunhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9479304/
https://www.ncbi.nlm.nih.gov/pubmed/36114475
http://dx.doi.org/10.1186/s12877-022-03432-6
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author Zhang, Xiyu
Miao, Wenqing
Wu, Bing
Lai, Yongqiang
Jiao, Mingli
Xia, Qi
Zhang, Chenxi
Tian, Wanxin
Song, Zhe
Shan, Linghan
Hu, Lingqin
Han, Xinhao
Yin, Hui
Cheng, Xiaonan
Li, Ye
Shi, Baoguo
Wu, Qunhong
author_facet Zhang, Xiyu
Miao, Wenqing
Wu, Bing
Lai, Yongqiang
Jiao, Mingli
Xia, Qi
Zhang, Chenxi
Tian, Wanxin
Song, Zhe
Shan, Linghan
Hu, Lingqin
Han, Xinhao
Yin, Hui
Cheng, Xiaonan
Li, Ye
Shi, Baoguo
Wu, Qunhong
author_sort Zhang, Xiyu
collection PubMed
description BACKGROUND: The high incidence of catastrophic health expenditure (ICHE) among middle-aged and elderly population is a major deterrent for reducing the financial risk of disease. Current research is predominantly based on the assumption of spatial homogeneity of nationwide population characteristics, ignoring the differences in regional characteristics. Thus, our study aimed to explore the impact of various influencing factors on the ICHE from a spatiotemporal perspective. METHODS: We used data from the China Health and Retirement Longitudinal Study (waves 1 to 4), to conduct a retrospective cohort study across 28 provinces, from 2011 to 2018. We measured regional incidences of catastrophic health expenditure using methods recommended by the World Health Organization. Ordinary least squares (OLS) and geographical and temporal weighted regression (GTWR) were used as the global and local estimation models, respectively. The Fortheringham method was used to test the spatiotemporal non-stationarity. RESULTS: National ICHE showed a gradual increase from 2011 to 2015, but suddenly decreased from 2015 to 2018, also showing the spatial heterogeneity. And the southwest area and Hebei showed persistently high ICHE (Qinghai even reached the highest value of 27.5% in 2015). Out-of-pocket payment, gross domestic product, PM(2.5), ageing, incidence of non-communicable diseases and disabilities, number of nurses, and health insurance coverage in the global estimation passed the significance test, and the GTWR model showed a better model fit (0.769) than the OLS model (0.388). Furthermore, except for health insurance coverage, all seven variables had spatiotemporal non-stationarity among their impacts on ICHE. CONCLUSION: In this longitudinal study, we found spatiotemporal non-stationarity among the variable relationships, supporting regional governments’ adoption of regional-target policies. First, after the completion of universal health insurance coverage, the spatiotemporal non-stationarity of the prevalence of non-communicable diseases and disability and ageing should be the focus of the next phase of health insurance design, where improvements to compensation coverage and benefit packages are possible policy instruments. Second, the governance and causes of catastrophic health expenditure need to be laid out from a macro perspective rather than only from the individual/household perspective, especially for the potential impact of economic development, air pollution and nursing resources. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-022-03432-6.
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spelling pubmed-94793042022-09-17 Factors that dynamically affect provincial incidences of catastrophic health expenditure among middle-aged and elderly Chinese population-transition of disease financial risk protection from global to local Zhang, Xiyu Miao, Wenqing Wu, Bing Lai, Yongqiang Jiao, Mingli Xia, Qi Zhang, Chenxi Tian, Wanxin Song, Zhe Shan, Linghan Hu, Lingqin Han, Xinhao Yin, Hui Cheng, Xiaonan Li, Ye Shi, Baoguo Wu, Qunhong BMC Geriatr Research BACKGROUND: The high incidence of catastrophic health expenditure (ICHE) among middle-aged and elderly population is a major deterrent for reducing the financial risk of disease. Current research is predominantly based on the assumption of spatial homogeneity of nationwide population characteristics, ignoring the differences in regional characteristics. Thus, our study aimed to explore the impact of various influencing factors on the ICHE from a spatiotemporal perspective. METHODS: We used data from the China Health and Retirement Longitudinal Study (waves 1 to 4), to conduct a retrospective cohort study across 28 provinces, from 2011 to 2018. We measured regional incidences of catastrophic health expenditure using methods recommended by the World Health Organization. Ordinary least squares (OLS) and geographical and temporal weighted regression (GTWR) were used as the global and local estimation models, respectively. The Fortheringham method was used to test the spatiotemporal non-stationarity. RESULTS: National ICHE showed a gradual increase from 2011 to 2015, but suddenly decreased from 2015 to 2018, also showing the spatial heterogeneity. And the southwest area and Hebei showed persistently high ICHE (Qinghai even reached the highest value of 27.5% in 2015). Out-of-pocket payment, gross domestic product, PM(2.5), ageing, incidence of non-communicable diseases and disabilities, number of nurses, and health insurance coverage in the global estimation passed the significance test, and the GTWR model showed a better model fit (0.769) than the OLS model (0.388). Furthermore, except for health insurance coverage, all seven variables had spatiotemporal non-stationarity among their impacts on ICHE. CONCLUSION: In this longitudinal study, we found spatiotemporal non-stationarity among the variable relationships, supporting regional governments’ adoption of regional-target policies. First, after the completion of universal health insurance coverage, the spatiotemporal non-stationarity of the prevalence of non-communicable diseases and disability and ageing should be the focus of the next phase of health insurance design, where improvements to compensation coverage and benefit packages are possible policy instruments. Second, the governance and causes of catastrophic health expenditure need to be laid out from a macro perspective rather than only from the individual/household perspective, especially for the potential impact of economic development, air pollution and nursing resources. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-022-03432-6. BioMed Central 2022-09-16 /pmc/articles/PMC9479304/ /pubmed/36114475 http://dx.doi.org/10.1186/s12877-022-03432-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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
Zhang, Xiyu
Miao, Wenqing
Wu, Bing
Lai, Yongqiang
Jiao, Mingli
Xia, Qi
Zhang, Chenxi
Tian, Wanxin
Song, Zhe
Shan, Linghan
Hu, Lingqin
Han, Xinhao
Yin, Hui
Cheng, Xiaonan
Li, Ye
Shi, Baoguo
Wu, Qunhong
Factors that dynamically affect provincial incidences of catastrophic health expenditure among middle-aged and elderly Chinese population-transition of disease financial risk protection from global to local
title Factors that dynamically affect provincial incidences of catastrophic health expenditure among middle-aged and elderly Chinese population-transition of disease financial risk protection from global to local
title_full Factors that dynamically affect provincial incidences of catastrophic health expenditure among middle-aged and elderly Chinese population-transition of disease financial risk protection from global to local
title_fullStr Factors that dynamically affect provincial incidences of catastrophic health expenditure among middle-aged and elderly Chinese population-transition of disease financial risk protection from global to local
title_full_unstemmed Factors that dynamically affect provincial incidences of catastrophic health expenditure among middle-aged and elderly Chinese population-transition of disease financial risk protection from global to local
title_short Factors that dynamically affect provincial incidences of catastrophic health expenditure among middle-aged and elderly Chinese population-transition of disease financial risk protection from global to local
title_sort factors that dynamically affect provincial incidences of catastrophic health expenditure among middle-aged and elderly chinese population-transition of disease financial risk protection from global to local
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9479304/
https://www.ncbi.nlm.nih.gov/pubmed/36114475
http://dx.doi.org/10.1186/s12877-022-03432-6
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