Evidence map›Paper›PMID 33115445›Full record

ArticleBMC health services research2020

Cluster analysis of differences in medical economic burden among residents of different economic levels in Guangdong Province, China.

Jialong Chen, Liuna Yang, Zhenzhu Qian, Mingwei Sun, Honglin Yu, Xiaolei Ma, Chonghua Wan, Yunbin Yang

Abstract read
In one paragraph

Article in BMC health services research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

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0cells of the map it votes in
7citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

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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.

Jialong ChenSchool of Public Health, Guangdong Medical University, Dongguan, 523808, China.
Liuna YangSchool of Public Health, Guangdong Medical University, Dongguan, 523808, China.
Zhenzhu QianGuangdong Medical University, No.1 Xincheng Blvd, Songshan Lake National Hightech Industrial Development Zone, Dongguan, 523808, Guangdong, China.
Mingwei SunSchool of Public Health, Guangdong Medical University, Dongguan, 523808, China.
Honglin YuSchool of Public Health, Guangdong Medical University, Dongguan, 523808, China.
Xiaolei MaGuangdong Medical University, No.1 Xincheng Blvd, Songshan Lake National Hightech Industrial Development Zone, Dongguan, 523808, Guangdong, China.
Chonghua WanSchool of Humanities and Management, Research Center for Quality of Life and Applied Psychology, Guangdong Medical University, Dongguan, 523808, China.
Yunbin YangGuangdong Medical University, No.1 Xincheng Blvd, Songshan Lake National Hightech Industrial Development Zone, Dongguan, 523808, Guangdong, China. 545089386@qq.com.ORCID http://orcid.org/0000-0003-1041-4103

Funding

Guangdong provincial philosophy and Social Sciences 12 th Five-Year Planning Co-Construction Project No. GD14XGL45National Natural Science Foundation of China 71373058National Science and Technology Foundation of China 2015FY111600
6 · The paper itself

Abstract

backgroundThis study compares and analyzes the differences of residents' medical economic burden in different economic levels, explores the factors for improving the equity of health services in Guangdong, China.

methodsCluster analysis was carried out in 20 cities of Guangdong Province by taking 7 key factors on the equity of health services as indicators. Seven key factors were collected from Guangdong Statistical Yearbook 2017 and the Sixth National Population Census. R-type clustering was used to reduce the dimensionality of 7 candidate variables through similarity index. Q-type clustering was used to classify 20 cities in Guangdong Province.

resultsThe cluster analysis divided Guangdong Province into three regions with different medical economic burden. The greater the proportion of the elderly over 65 years old, the greater the proportion of health care expenditure to per capita consumer expenditure of residents, and the heavier the medical economic burden. On average, 10.75% of the general budget expenditure of each city in Guangdong Province is spent on health care.

conclusionsThe lower per capita GDP, the higher proportion of the elderly over 65 years old and the lack of medical technicians are risk factors for the heavier medical burden of the residents and the fairness of health services. While increasing the health expenditure, the government needs to further complete the reform of the medical and health system, improve the efficiency of the medical system and curb the rapid rise of absolute health expenditures of individuals, which can reduce the economic burden of residents' medical care.

Indexed as

Economics, MedicalHealth ExpendituresAgedChinaCitiesCluster AnalysisHumansAgingDifferent economic levelsEquityMedical economic burden

Identifiers

PMID33115445
PMCPMC7594465

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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.