Evidence map›Paper›PMID 38711072›Full record

ArticleBMC primary care2024

Trends in the mobility of primary healthcare human resources in underdeveloped regions of western China from 2000 to 2021: Evidence from Nanning.

Xinyi Xu, Jingyi Huang, Xiaoqian Zhao, Yumin Luo, Linxuan Wang, Yishan Ge, Xingyin Yu, Pinghua Zhu

Abstract read
In one paragraph

Article in BMC primary care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 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

8 authors.

Xinyi Xu *School of Humanities and Social Sciences, Guangxi Medical University, Nanning, China.
Jingyi Huang *School of Humanities and Social Sciences, Guangxi Medical University, Nanning, China.
Xiaoqian ZhaoSchool of Humanities and Social Sciences, Guangxi Medical University, Nanning, China.
Yumin LuoSchool of Humanities and Social Sciences, Guangxi Medical University, Nanning, China.
Linxuan WangSchool of Humanities and Social Sciences, Guangxi Medical University, Nanning, China.
Yishan GeSchool of Humanities and Social Sciences, Guangxi Medical University, Nanning, China.
Xingyin YuSchool of Humanities and Social Sciences, Guangxi Medical University, Nanning, China.
Pinghua ZhuSchool of Humanities and Social Sciences, Guangxi Medical University, Nanning, China. zhupinghua@gxmu.edu.cn.

Funding

The Guangxi Higher Education Institution's Cultivation Plan for One Thousand Young and Middle-aged Key Teachers in Humanities and Social Sciences Project Approval Program :Research on the Remuneration Incentive Mechanism for Medical Staff in Primary Healthcare Institutions in Ethnic Areas Grant Number: 2023QGRW015
6 · The paper itself

Abstract

objectiveThis research aimed to identify the fundamental and geographic characteristics of the primary healthcare personnel mobility in Nanning from 2000 to 2021 and clarify the determinants that affect their transition to non-primary healthcare institutions.

methodsThrough utilizing the Primary Healthcare Personnel Database (PHPD) for 2000-2021, the study conducts descriptive statistical analysis on demographic, economic, and professional aspects of healthcare personnel mobility across healthcare reform phases. Geographic Information Systems (QGIS) were used to map mobility patterns, and R software was employed to calculate spatial autocorrelation (Moran's I). Logistic regression identified factors that influenced the transition to non-primary institutions.

resultsPrimary healthcare personnel mobility is divided into four phases: initial (2000-2008), turning point (2009-2011), rapid development (2012-2020), and decline (2021). The rapid development stage saw increased mobility with no spatial clustering in inflow and outflow. From 2016 to 2020, primary healthcare worker mobility reached its peak, in which the most significant movement occurred between township health centers and other institutions. Aside from their transition to primary medical institutions, the primary movement of grassroots health personnel predominantly directs towards secondary general hospitals, tertiary general hospitals, and secondary specialized hospitals. Since 2012, the number and mobility distance of primary healthcare workers have become noticeably larger and remained at a higher level from 2016 to 2020. The main migration of primary healthcare personnel occurred in their districts (counties). Key transition factors include gender, education, ethnicity, professional category, general practice registration, and administrative division.

conclusionsThis study provides evidence of the features of primary healthcare personnel mobility in the less developed western regions of China, in which Nanning was taken as a case study. It uncovers the factors that impact the flow of primary healthcare personnel to non-primary healthcare institutions. These findings are helpful to policy refinement and support the retention of primary healthcare workers.

Indexed as

Primary Health CareCareer MobilityChinaFemaleGeographic Information SystemsHealth Care ReformHealth PersonnelHealth WorkforceHumansMaleChinaHealthcare reformPrimary health carePrimary healthcare personnel

Identifiers

PMID38711072
PMCPMC11071274

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LicenceCC BY
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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.