Evidence map›Paper›PMID 41656842›Full record

ArticleZhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences2025

[Regional distribution differences and influencing factors of primary healthcare institutions in China].

Ping Ni, Jinhong Wang, Liangui Shi, Linyong Xu

Abstract readEnglish Abstract
In one paragraph

Article in Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. [Survey of radiotherapy resource allocation and service capacity in Hunan Province, 2025].Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2026
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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

4 authors.

Ping NiXiangya Hospital, Central South University, Changsha 410008. 4010526@csu.edu.cn.
Jinhong WangXiangya Hospital, Central South University, Changsha 410008.
Liangui ShiXiangya Hospital, Central South University, Changsha 410008.
Linyong XuHunan Xiangya Stomatological Hospital, Central South University, Changsha 410000, China. xybms@163.com.

Funding

the Social Science Foundation Project of Hunan Province 24ZDB019
6 · The paper itself

Abstract

objectivesChina has achieved certain progress in expanding the coverage of primary healthcare institutions (PHCI), promoting equitable access to essential medical and health resources, and advancing universal health coverage. However, disparities in equitable access among different regions and income groups remain substantial. This study aims to analyze regional differences in the distribution of PHCI after the new healthcare reform and to explore the main factors influencing their distribution, so as to provide references for optimizing the allocation of primary healthcare resources.

methodsData on the number of PHCI and factors influencing regional distribution differences from 2009 to 2022 were collected for 31 provincial-level administrative regions (hereinafter referred to as "administrative regions"). The Gini coefficient, Theil index, and the PHCI health resources density index (PHRDI) were used to evaluate the equity of PHCI distribution from 2009 to 2022 based on population, geographic area, and health level. PHRDI and each influencing factor were classified into 5 levels using the natural breaks method, and statistical maps of annual PHRDI distribution for each administrative region were drawn accordingly. Taking the number of PHCI in 2022 as the dependent variable, 15 indicators were selected as independent variables, and a geodetector was used to analyze the key factors influencing PHCI distribution.

resultsIn 2022, the number of PHCI in China was 979 768, representing an increase of 11.07% compared with 2009. The distribution of PHCI in 2022 by year-end permanent resident population (Gini coefficient 0.178, Theil index 0.051) was absolutely equitable; distribution by the number of women receiving systematic maternal management (Gini coefficient 0.227, Theil index 0.084)/the number of low-birth-weight infants (Gini coefficient 0.335, Theil index 0.179) was relatively even/comparatively appropriate; distribution by geographic area (Gini coefficient 0.628, Theil index 0.701) was highly inequitable, with inter-regional and intra-regional differences contributing 58.45% and 41.55%, respectively, to the overall inequity by geographic area. Over the years, PHRDI consistently showed a gradual decline from eastern to western regions. Compared with 2009, 10 administrative regions achieved an upgrade in PHRDI level by 2022, with the largest number in the eastern region (5 administrative regions). Year-end permanent resident population, number of PHCI health personnel, number of women receiving systematic maternal management, geographic area, local health expenditure, regional GDP, and total dependency ratio were the main factors influencing regional differences in PHCI distribution (all

conclusionsThe total number of PHCI in China has increased, but the growth rate is relatively slow and human resources remain relatively insufficient. There are regional differences in PHCI distribution, with PHRDI showing a gradual decrease from east to west. The establishment of PHCI should not only consider regional population size, but also comprehensively take into account factors such as local health personnel, economic development, health level, age structure, and geographic area.

Indexed as

Healthcare DisparitiesHealth Services AccessibilityPrimary Health CareAccess to Primary CareChinaHealth Care ReformHumansequitygeodetectorGini coefficientinfluencing factorsprimary healthcare institutionsprimary healthcare institutions health resources density indexregional distribution differencesTheil index

Identifiers

PMID41656842
PMCPMC12949934

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LicenceCC BY-NC-ND
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