ArticleBMC health services research2020
Cluster analysis of differences in medical economic burden among residents of different economic levels in Guangdong Province, China.
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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Who cites it
7 citing papers in PubMed.
- The trade-off between coverage and benefit: spatiotemporal variation of China's health insurance and its influencing factors.BMC health services research · 2026Article
- Can supplementary private health insurance reduce vulnerability to expected poverty and catastrophic health expenditure in China?International journal for equity in health · 2025Article
- Can supplementary private health insurance reduce poverty vulnerability? Evidence from Shandong Province.BMC public health · 2025Article
- Study on the spatial and temporal differences and influencing factors of out-of-pocket payments as a share of total health expenditure in China.BMC health services research · 2025Article
- Evaluating the effect of health insurance reform on health equity and financial protection for elderly in low- and middle-income countries: evidences from China.Globalization and health · 2024Article
- The effects of economic status on metabolic control in type 2 diabetes mellitus at 10 metabolic management centers in China.Journal of diabetes · 2024Article
- Benefit-to-harm ratio and cost-effectiveness of government-recommended gastric cancer screening in China: A modeling study.Frontiers in public health · 2022Article
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8 authors.
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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.
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