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Spatiotemporal matching between medical resources and population ageing in China from 2008 to 2017

BACKGROUND: Globally, the increasingly severe population ageing issue has been creating challenges in terms of medical resource allocation and public health policies. The aim of this study is to address the space-time trends of the population-ageing rate (PAR), the number of medical resources per th...

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Autores principales: Li, Junming, Chen, Xinglin, Han, Xiulan, Zhang, Gehong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7268461/
https://www.ncbi.nlm.nih.gov/pubmed/32493251
http://dx.doi.org/10.1186/s12889-020-08976-z
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author Li, Junming
Chen, Xinglin
Han, Xiulan
Zhang, Gehong
author_facet Li, Junming
Chen, Xinglin
Han, Xiulan
Zhang, Gehong
author_sort Li, Junming
collection PubMed
description BACKGROUND: Globally, the increasingly severe population ageing issue has been creating challenges in terms of medical resource allocation and public health policies. The aim of this study is to address the space-time trends of the population-ageing rate (PAR), the number of medical resources per thousand residents (NMRTR) in mainland China in the past 10 years, and to investigate the spatial and temporal matching between the PAR and NMRTR in mainland China. METHODS: The Bayesian space-time hierarchy model was employed to investigate the spatiotemporal variation of PAR and NMRTR in mainland China over the past 10 years. Subsequently, a Bayesian Geo-Detector model was developed to evaluate the spatial and temporal matching levels between PAR and NMRTR at national level. The matching odds ratio (OR) index proposed in this paper was applied to measure the matching levels between the two terms in each provincial area. RESULTS: The Chinese spatial and temporal matching q-statistic values between the PAR and three vital types of NMRTR were all less than 0.45. Only the spatial matching Bayesian q-statistic values between the PAR and the number of beds in hospital reached 0.42 (95% credible interval: 0.37, 0.48) nationwide. Chongqing and Guizhou located in southwest China had the highest spatial and temporal matching ORs, respectively, between the PAR and the three types of NMRTR. The spatial pattern of the spatial and temporal matching ORs between the PAR and NMRTR in mainland China exhibited distinct geographical features, but the geographical structure of the spatial matching differed from that of the temporal matching between the PAR and NMRTR. CONCLUSION: The spatial and temporal matching degrees between the PAR and NMRTR in mainland China were generally very low. The provincial regions with high PAR largely experienced relatively low spatial matching levels between the PAR and NMRTR, and vice versa. The geographical pattern of the temporal matching between the PAR and NMRTR exhibited the feature of north-south differentiation.
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spelling pubmed-72684612020-06-07 Spatiotemporal matching between medical resources and population ageing in China from 2008 to 2017 Li, Junming Chen, Xinglin Han, Xiulan Zhang, Gehong BMC Public Health Research Article BACKGROUND: Globally, the increasingly severe population ageing issue has been creating challenges in terms of medical resource allocation and public health policies. The aim of this study is to address the space-time trends of the population-ageing rate (PAR), the number of medical resources per thousand residents (NMRTR) in mainland China in the past 10 years, and to investigate the spatial and temporal matching between the PAR and NMRTR in mainland China. METHODS: The Bayesian space-time hierarchy model was employed to investigate the spatiotemporal variation of PAR and NMRTR in mainland China over the past 10 years. Subsequently, a Bayesian Geo-Detector model was developed to evaluate the spatial and temporal matching levels between PAR and NMRTR at national level. The matching odds ratio (OR) index proposed in this paper was applied to measure the matching levels between the two terms in each provincial area. RESULTS: The Chinese spatial and temporal matching q-statistic values between the PAR and three vital types of NMRTR were all less than 0.45. Only the spatial matching Bayesian q-statistic values between the PAR and the number of beds in hospital reached 0.42 (95% credible interval: 0.37, 0.48) nationwide. Chongqing and Guizhou located in southwest China had the highest spatial and temporal matching ORs, respectively, between the PAR and the three types of NMRTR. The spatial pattern of the spatial and temporal matching ORs between the PAR and NMRTR in mainland China exhibited distinct geographical features, but the geographical structure of the spatial matching differed from that of the temporal matching between the PAR and NMRTR. CONCLUSION: The spatial and temporal matching degrees between the PAR and NMRTR in mainland China were generally very low. The provincial regions with high PAR largely experienced relatively low spatial matching levels between the PAR and NMRTR, and vice versa. The geographical pattern of the temporal matching between the PAR and NMRTR exhibited the feature of north-south differentiation. BioMed Central 2020-06-03 /pmc/articles/PMC7268461/ /pubmed/32493251 http://dx.doi.org/10.1186/s12889-020-08976-z Text en © The Author(s) 2020 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/. The Creative Commons Public Domain Dedication waiver (http://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 Article
Li, Junming
Chen, Xinglin
Han, Xiulan
Zhang, Gehong
Spatiotemporal matching between medical resources and population ageing in China from 2008 to 2017
title Spatiotemporal matching between medical resources and population ageing in China from 2008 to 2017
title_full Spatiotemporal matching between medical resources and population ageing in China from 2008 to 2017
title_fullStr Spatiotemporal matching between medical resources and population ageing in China from 2008 to 2017
title_full_unstemmed Spatiotemporal matching between medical resources and population ageing in China from 2008 to 2017
title_short Spatiotemporal matching between medical resources and population ageing in China from 2008 to 2017
title_sort spatiotemporal matching between medical resources and population ageing in china from 2008 to 2017
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7268461/
https://www.ncbi.nlm.nih.gov/pubmed/32493251
http://dx.doi.org/10.1186/s12889-020-08976-z
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