Evidence map›Paper›PMID 39049064›Full record

ArticleInternational journal for equity in health2024

Coupling coordination degree of healthcare resource supply, demand and elderly population change in China.

Mengyuan Ma, Leiyu Shi, Wanzhen Xie, Qiuli Zhu, Junqing Luo, Shengwu Liao, Oudong Xia, Gang Sun

Abstract read
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Article in International journal for equity in health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Mengyuan MaDepartment of Health Management, School of Health Management, Southern Medical University, Guangzhou, 510515, China.
Leiyu ShiDepartment of Health Policy and Management, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, 21205, USA.
Wanzhen XieDepartment of Health Management, School of Health Management, Southern Medical University, Guangzhou, 510515, China.
Qiuli ZhuDepartment of Health Management, School of Health Management, Southern Medical University, Guangzhou, 510515, China.
Junqing LuoDepartment of Health Management, School of Health Management, Southern Medical University, Guangzhou, 510515, China.
Shengwu LiaoDepartment of Health Management, Southern Medical University Nanfang Hospital, Guangzhou, China. 602057913@qq.com.
Oudong XiaZhujiang Hospital of Southern Medical University, Guangzhou, China. xiaodnf@163.com.
Gang SunDepartment of Health Management, School of Health Management, Southern Medical University, Guangzhou, 510515, China. sunhoney163@163.com.

Funding

Guangzhou Municipal Science and Technology Program key projects: Research and development of common diseases diagnosis and treatment system for middle-aged and elderly people based on artificial intelligence 202103000037Natural Science Foundation of Guangdong Province in 2022: Construction and application of COVID-19 control model PSR-SOR-Haddon in Guangdong Province 2022A1515011112Philosophy and Social Sciences Planning Project of Guangdong Province in 2023: Research on the mechanism of national voluntary epidemic prevention behavior based on Repast-fsQCA in the context of COVID-19 "Class B and B control" GD23CGL11
6 · The paper itself

Abstract

objectTo analyze the trend of the coupling and coordination of the supply and demand of healthcare resources between the elderly population and healthcare resources in China during the period of 2012-2022, to reveal the impact of the growth of the elderly population on the relationship between the supply and demand of healthcare resources, and to put forward suggestions to improve the coupling and coordination between the supply and demand of healthcare resources and the elderly population, in order to cope with the challenges of an aging society.

methodsBy obtaining relevant data from authoritative data sources such as China Statistical Yearbook, Health and Health Statistics Yearbook, and the Chinese government website from 2012 to 2022, we constructed a comprehensive measurement index for the three systems of elderly population, healthcare resource supply, and healthcare resource demand; Using the entropy value method to assign weights to the indicators, combined with the coupling coordination degree model, to reveal the changes of the elderly population change and the supply and demand of medical and health resources; using ArcGIS technology, to study the spatial characteristics of the elderly population change and the supply and demand of medical and health resources.

resultsFrom 2012 to 2022, the supply and demand of healthcare resources and the variation of the elderly population in China show a continuous growth trend, and the comprehensive development level of the system gradually climbs from a low level to a high level. The fluctuation of coupling degree and coordination degree rises, although the coordination degree has always been lower than the coupling degree, but the distance between the coordination degree and the coupling degree gradually narrows with the passage of time. The coordination degree between population aging and medical and health resources development shows spatial heterogeneity in China, with the eastern region significantly higher than the western region/.

conclusionsThe coupling degree between population aging and healthcare resource supply and demand in China from 2012 to 2022 shows a general upward trend from low coupling to medium-high coupling, but it is worth noting that even though the degree of coupling increases, the degree of coordination is still relatively lagging behind, suggesting that the government and relevant departments need to pay more attention to coordinated allocation and management of healthcare resources. At the same time, the spatial differences in the degree of coordination among provinces suggest that future policymakers should take regional differences into full consideration in policymaking and sustainable development.

Indexed as

Health ResourcesHealth Services Needs and DemandAgedAged, 80 and overChinaDelivery of Health CareFemaleHumansMalePopulation DynamicsCoupling coordination degree modelElderly populationHealth care resource supply and demandResource allocation

Identifiers

PMID39049064
PMCPMC11270932

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LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.