Evidence map›Paper›PMID 40756397›Full record

ArticleFrontiers in public health2025

What are the key factors contributing to the inequity in healthcare resource allocation? Evidence from China's health panel data from 2009 to 2021.

Enhong Dong, Tingting Wang, Ting Xu, Xueting Chen, Qianqian Zhou, Weimin Gao, Yuping Liu

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 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

7 authors.

Enhong DongSchool of Nursing and Health Management, Shanghai University of Medicine & Health Science, Shanghai, China.
Tingting WangSchool of Nursing and Health Management, Shanghai University of Medicine & Health Science, Shanghai, China.
Ting XuSchool of Nursing and Health Management, Shanghai University of Medicine & Health Science, Shanghai, China.
Xueting ChenSchool of Nursing and Health Management, Shanghai University of Medicine & Health Science, Shanghai, China.
Qianqian ZhouSchool of Nursing and Health Management, Shanghai University of Medicine & Health Science, Shanghai, China.
Weimin GaoSchool of Nursing, Kunming Medical University, Kunming, China.
Yuping LiuSchool of Humanities and Management, Kunming Medical University, Kunming, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: As economic growth drives higher demand for health services, equitable health resource allocation becomes crucial to meet diverse healthcare needs. Since China's reform and opening-up, increased government healthcare investment has not fully resolved regional disparities. Existing studies, often relying on methods other than the concentration index, fail to comprehensively analyze the link between resource inequities and economic factors. This study uses the concentration index and its decomposition to assess regional disparities and identify determinants of inequity, offering practical recommendations for optimizing resource distribution in China and similar developing nations. Methods: This study analyzed China's healthcare resource allocation (institutions, beds, and workforce) from 2009 to 2021 using the concentration index to measure equity across socio-economic regions and its decomposition method to identify contributing factors to inequality. Results: From 2009 to 2021, the numbers of institutions per 1,000 people (IPK), beds per 1,000 people (BPK), doctors per 1,000 people (DPK), technicians per 1,000 people (TPK), and nurses per 1,000 people(NPK) in China increased. The concentration index (CI) for IPK remained negative, while BPK's CI turned negative after 2013. CIs for DPK, TPK, and NPK stayed positive. The CI for IPK's absolute value rose, while others decreased. Factors like population size (PS), population density(PD), geographical Location(GL), maternal mortality rate(MMR), rate of born-baby weighting less than 2.5 kg (RBWL25), and perinatal mortality rate (PMR) influenced unequal healthcare resource distribution, with PS and RBWL25 favoring developed areas, and PD, GL, and MMR favoring less developed regions. Additionally, urbanization level (UL), Out-of-Pocket (OPP), per capita health expenditures(PCHE), per capita gross domestic product(PCGDP), disposable income of urban residents(DIUR), government health expenditures (GHE), and number of insured(NI) positively impacted resource allocation to developed provinces, with varying effects. Conclusion: This study analyzes 2009-2021 panel data, revealing growth trends and regional disparities in China's healthcare resource equity, focusing on institutions, beds, and workforce. Need variables (PS, PD, and RBWL25) reduced bed/doctor disparities, while MMR/PMR worsened maternal/nurse inequities. Non-need economic factors concentrated resources in affluent areas despite redistribution efforts. The findings highlight ongoing challenges in equitable distribution and offer crucial policy insights for China and other developing nations.

Indexed as

Healthcare DisparitiesHealth Care RationingResource AllocationChinaHumansSocioeconomic FactorsChinaconcentration indexdeterminantshealth-care resourcesinequity

Identifiers

PMID40756397
PMCPMC12313659

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Registered trials

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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.