Evidence map›Paper›PMID 39819771›Full record

ArticleJournal of global health2025

Geographic variations, temporal trends, and equity in healthcare resource allocation in China, 2010-21.

Shaohua Yin, Zhenlin Liu, Sujuan Yu, Ying Li, Ji An, Dong Wang, Hongjia Yan, Ying Xiao, Feng Xu, Yun Tian and 1 more

Abstract read
In one paragraph

Article in Journal of global health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 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

11 authors.

Shaohua Yin *Department of Medical Engineering, Peking University Third Hospital, Beijing, China.
Zhenlin Liu *Department of Medical Engineering, Peking University Third Hospital, Beijing, China.
Sujuan Yu *Department of Medical Engineering, Peking University Third Hospital, Beijing, China.
Ying LiDepartment of Medical Engineering, Peking University Third Hospital, Beijing, China.
Ji AnDepartment of Medical Engineering, Peking University Third Hospital, Beijing, China.
Dong WangDepartment of Medical Engineering, Peking University Third Hospital, Beijing, China.
Hongjia YanDepartment of Medical Engineering, Peking University Third Hospital, Beijing, China.
Ying XiaoDepartment of Medical Engineering, Peking University Third Hospital, Beijing, China.
Feng XuDepartment of Medical Engineering, Peking University Third Hospital, Beijing, China.
Yun TianDepartment of Medical Engineering, Peking University Third Hospital, Beijing, China.
Xiaoxiao LuanDepartment of Medical Engineering, Peking University Third Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Inequity in healthcare resources has been identified as a global public health priority, yet the geographic variations and temporal trends in distribution and inequity in China remain unclear. We aimed to investigate these variations and temporal trends in healthcare resources and evaluate inequity in healthcare resource allocation in China. Methods: In this nationwide descriptive study, we used provincial-level data on healthcare infrastructure, human, and service resources from 31 provinces of mainland China, publicly released by the National Health Commission of China between 2010-21. We assessed the spatial autocorrelation of healthcare infrastructure, human, and service resources using Moran's I index, and identified spatial clusters of resource allocation. We evaluated the equity in healthcare resource allocation using the Lorenz curve, Gini coefficient, and Theil index by population and geographic dimensions. Results: Between 2010-21, the density of healthcare infrastructure and human resources in China increased, with the average stay decreasing from 10.5 to 9.2 days. There were substantial regional disparities, with higher resource density exhibited in eastern regions compared to western regions. Spatial autocorrelation was more pronounced for the density of practising (assistant) physicians (Moran's I = 0.465; P < 0.001), practising physicians (Moran's I = 0.351; P < 0.001), and bed occupancy rate (Moran's I = 0.256; P < 0.001), with significant geographic clusters of resource allocation. Lorenz curves showed that healthcare resource allocation was closer to the absolute equity by population but not geographic dimension, with Gini coefficients indicating severe inequity (>0.6) by geographic dimension compared to perfect equity (<0.2) by population dimension. Intraregional Theil index by population was higher than the inter-regional index, with contribution rates exceeding 60%. Conclusions: Per capita access to healthcare resources in China has improved, but significant geographic variations and clustering exist, particularly with higher resource density in eastern regions. While resource allocation by population showed better equity than by geographic area, substantial intra-regional disparities highlight the need for targeted strategies to enhance equitable distribution, particularly in the western regions.

Indexed as

Healthcare DisparitiesHealth Care RationingHealth EquityResource AllocationChinaHumans

Identifiers

PMID39819771
PMCPMC11737812

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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.