Evidence map›Paper›PMID 38872151›Full record

ArticleBMC health services research2024

Spatial distribution patterns of human resources allocation in maternal and child healthcare institutions in China from 2016 to 2021.

Xiaohui Li, Mei Su, Li He, Jianjun Yang, Fangyuan Wu

Abstract read
In one paragraph

Article in BMC health services research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

5 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

5 authors.

Xiaohui Li *Guyuan Maternal and Child Healthcare Hospital, Guyuan, Ningxia, 756000, China.
Mei Su *School of Humanities and Management, Ningxia Medical University, Yinchuan, Ningxia, 750001, China.
Li HeSchool of Humanities and Management, Ningxia Medical University, Yinchuan, Ningxia, 750001, China.
Jianjun YangSchool of Public Health, Ningxia Medical University, Yinchuan, 750001, Ningxia, China.
Fangyuan WuSchool of Humanities and Management, Ningxia Medical University, Yinchuan, Ningxia, 750001, China. fangyuanwu19@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn China, economic, urbanization, and policy differences between the eastern and western regions lead to uneven healthcare resources. This disparity is more pronounced in the west due to fewer healthcare personnel per thousand individuals and imbalanced doctor-to-nurse ratios, which exacerbates healthcare challenges. This study examines the spatial distribution of human resources in maternal and child healthcare from 2016 to 2021, highlighting regional disparities and offering insights for future policy development.

methodsThe data were sourced from the "China Health and Family Planning Statistical Yearbook" (2017) and the "China Health and Health Statistics Yearbook" (2018-2022). This study utilized GeoDa 1.8.6 software to conduct both global and local spatial autocorrelation analyses, using China's administrative map as the base dataset.

resultsFrom 2016 to 2021, there was an upward trend in the number of health personnel and various types of health technical personnel in Chinese maternal and child healthcare institutions. The spatial distribution of these personnel from 2016 to 2021 revealed clusters characterized as high-high, low-low, high-low and low-high. Specifically, high-high clusters were identified in Guangxi, Hunan, Jiangxi, and Guangdong provinces; low-low in Xinjiang Uygur Autonomous Region and Inner Mongolia Autonomous Region; high-low in Sichuan province; and low-high in Fujian and Anhui provinces.

conclusionsFrom 2016 to 2021, there was evident spatial clustering of health personnel and various health technical personnel in Chinese maternal and child healthcare institutions, indicating regional imbalances.

Indexed as

Resource AllocationChildChinaFemaleHealth PersonnelHealth WorkforceHumansMaternal-Child Health ServicesSpatial AnalysisChinaHealthcare human resourcesMaternal and child healthcareSpatial autocorrelationSpatial distribution

Identifiers

PMID38872151
PMCPMC11177421

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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.