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Disease burden of ageing, sex and regional disparities and health resources allocation: a longitudinal analysis of 31 provinces in Mainland China
OBJECTIVES: To measure the disease burden of ageing based on age-related diseases (ARDs), the sex and regional disparities and the impact of health resources allocation on the burden in China. DESIGN: A national comparative study based on Global Burden of Diseases Study estimates and China’s routine...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9670959/ https://www.ncbi.nlm.nih.gov/pubmed/36385040 http://dx.doi.org/10.1136/bmjopen-2022-064641 |
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author | Chen, Shu Si, Yafei Hanewald, Katja Li, Bingqin Bateman, Hazel Dai, Xiaochen Wu, Chenkai Tang, Shenglan |
author_facet | Chen, Shu Si, Yafei Hanewald, Katja Li, Bingqin Bateman, Hazel Dai, Xiaochen Wu, Chenkai Tang, Shenglan |
author_sort | Chen, Shu |
collection | PubMed |
description | OBJECTIVES: To measure the disease burden of ageing based on age-related diseases (ARDs), the sex and regional disparities and the impact of health resources allocation on the burden in China. DESIGN: A national comparative study based on Global Burden of Diseases Study estimates and China’s routine official statistics. SETTING AND PARTICIPANTS: Thirty-one provinces of Mainland China were included for analysis in the study. No individuals were involved. METHODS: We first identified the ARDs and calculated the disability-adjusted life years (DALYs) of ARDs in 2016. We assessed the ARD burden disparities by province and sex and calculated the provincial ARD burden-adjusted age. We assessed historical changes between 1990 and 2016. Fixed effects regression models were adopted to evaluate the impact of health expenditures and health workforce indicators on the ARD burden in 2010–2016. RESULTS: In 2016, China’s total burden of ARDs was 15 703.7 DALYs (95% uncertainty intervals: 12 628.5, 18 406.2) per 100 000 population. Non-communicable diseases accounted for 91.9% of the burden. There were significant regional disparities. The leading five youngest provinces were Beijing, Guangdong, Shanghai, Zhejiang and Fujian, located on the east coast of China with an ARD burden-adjusted age below 40 years. After standardising the age structure, western provinces, including Tibet, Qinghai, Guizhou and Xinjiang, had the highest burden of ARDs. Males were disproportionately affected by ARDs. China’s overall age-standardised ARD burden has decreased since 1990, and females and eastern provinces experienced the largest decline. Regression results showed that the urban–rural gap in health workforce density was positively associated with the ARD burdens. CONCLUSION: Chronological age alone does not provide a strong enough basis for appropriate ageing resource planning or policymaking. In China, concerted efforts should be made to reduce the ARDs burden and its disparities. Health resources should be deliberately allocated to western provinces facing the greatest health challenges due to future ageing. |
format | Online Article Text |
id | pubmed-9670959 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-96709592022-11-18 Disease burden of ageing, sex and regional disparities and health resources allocation: a longitudinal analysis of 31 provinces in Mainland China Chen, Shu Si, Yafei Hanewald, Katja Li, Bingqin Bateman, Hazel Dai, Xiaochen Wu, Chenkai Tang, Shenglan BMJ Open Health Policy OBJECTIVES: To measure the disease burden of ageing based on age-related diseases (ARDs), the sex and regional disparities and the impact of health resources allocation on the burden in China. DESIGN: A national comparative study based on Global Burden of Diseases Study estimates and China’s routine official statistics. SETTING AND PARTICIPANTS: Thirty-one provinces of Mainland China were included for analysis in the study. No individuals were involved. METHODS: We first identified the ARDs and calculated the disability-adjusted life years (DALYs) of ARDs in 2016. We assessed the ARD burden disparities by province and sex and calculated the provincial ARD burden-adjusted age. We assessed historical changes between 1990 and 2016. Fixed effects regression models were adopted to evaluate the impact of health expenditures and health workforce indicators on the ARD burden in 2010–2016. RESULTS: In 2016, China’s total burden of ARDs was 15 703.7 DALYs (95% uncertainty intervals: 12 628.5, 18 406.2) per 100 000 population. Non-communicable diseases accounted for 91.9% of the burden. There were significant regional disparities. The leading five youngest provinces were Beijing, Guangdong, Shanghai, Zhejiang and Fujian, located on the east coast of China with an ARD burden-adjusted age below 40 years. After standardising the age structure, western provinces, including Tibet, Qinghai, Guizhou and Xinjiang, had the highest burden of ARDs. Males were disproportionately affected by ARDs. China’s overall age-standardised ARD burden has decreased since 1990, and females and eastern provinces experienced the largest decline. Regression results showed that the urban–rural gap in health workforce density was positively associated with the ARD burdens. CONCLUSION: Chronological age alone does not provide a strong enough basis for appropriate ageing resource planning or policymaking. In China, concerted efforts should be made to reduce the ARDs burden and its disparities. Health resources should be deliberately allocated to western provinces facing the greatest health challenges due to future ageing. BMJ Publishing Group 2022-11-15 /pmc/articles/PMC9670959/ /pubmed/36385040 http://dx.doi.org/10.1136/bmjopen-2022-064641 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Health Policy Chen, Shu Si, Yafei Hanewald, Katja Li, Bingqin Bateman, Hazel Dai, Xiaochen Wu, Chenkai Tang, Shenglan Disease burden of ageing, sex and regional disparities and health resources allocation: a longitudinal analysis of 31 provinces in Mainland China |
title | Disease burden of ageing, sex and regional disparities and health resources allocation: a longitudinal analysis of 31 provinces in Mainland China |
title_full | Disease burden of ageing, sex and regional disparities and health resources allocation: a longitudinal analysis of 31 provinces in Mainland China |
title_fullStr | Disease burden of ageing, sex and regional disparities and health resources allocation: a longitudinal analysis of 31 provinces in Mainland China |
title_full_unstemmed | Disease burden of ageing, sex and regional disparities and health resources allocation: a longitudinal analysis of 31 provinces in Mainland China |
title_short | Disease burden of ageing, sex and regional disparities and health resources allocation: a longitudinal analysis of 31 provinces in Mainland China |
title_sort | disease burden of ageing, sex and regional disparities and health resources allocation: a longitudinal analysis of 31 provinces in mainland china |
topic | Health Policy |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9670959/ https://www.ncbi.nlm.nih.gov/pubmed/36385040 http://dx.doi.org/10.1136/bmjopen-2022-064641 |
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