Evidence map›Paper›PMID 32493251›Full record

ArticleBMC public health2020

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

Junming Li, Xinglin Chen, Xiulan Han, Gehong Zhang

Abstract read
In one paragraph

Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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3 · Its place in the literature

Who cites it

22 citing papers in PubMed.

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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

4 authors.

Junming LiSchool of Statistics, Shanxi University of Finance and Economics, Wucheng Road 696, Taiyuan, 030006, China. Lijm@sxufe.edu.cn.ORCID http://orcid.org/0000-0002-9008-4767
Xinglin ChenSchool of Statistics, Shanxi University of Finance and Economics, Wucheng Road 696, Taiyuan, 030006, China.
Xiulan HanSchool of Statistics, Shanxi University of Finance and Economics, Wucheng Road 696, Taiyuan, 030006, China. Hanxlsx@163.com.
Gehong ZhangFirst Hospital of Shanxi Medical University, Jiefang South Road 85, Taiyuan, 030001, China. Zhanggh88666@sina.com.

Funding

Youth Fund of General Project on Humanities and Social Science Research of the Ministry of Education of the People's Republic of China 19YJCZH079
6 · The paper itself

Abstract

backgroundGlobally, 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.

methodsThe 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.

resultsThe 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.

conclusionThe 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.

Indexed as

AdultAgedAged, 80 and overAgingBayes TheoremChinaFemaleGeographyHealth Care RationingHealth Services for the AgedHumansMaleMiddle AgedPopulation DynamicsResource AllocationSpatio-Temporal AnalysisBayesian statisticsMatching measurementMedical resourcesPopulation ageing

Identifiers

PMID32493251
PMCPMC7268461

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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.