Evidence map›Paper›PMID 39220456›Full record

ArticleFrontiers in public health2024

Spatial effects of township health centers' health resource allocation efficiency in China.

Nannan Meng, Keyi Shen, Xinyue Zheng, Chengcheng Li, Xinhao Lin, Tong Pei, Dan Wu, Xuehui Meng

Abstract read
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
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.

Nannan Meng *School of Humanities and Management, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Keyi Shen *School of Humanities and Management, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Xinyue ZhengSchool of Humanities and Management, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Chengcheng LiSchool of Humanities and Management, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Xinhao LinSchool of Humanities and Management, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Tong PeiSchool of Humanities and Management, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Dan WuSchool of Humanities and Management, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Xuehui MengSchool of Humanities and Management, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: China is a large agricultural nation with the majority of the population residing in rural areas. The allocation of health resources in rural areas significantly affects the basic rights to life and health for rural residents. Despite the progress made by the Chinese government in improving rural healthcare, there is still room for improvement. This study aims to assess the spatial spillover effects of rural health resource allocation efficiency in China, particularly focusing on township health centers (THCs), and examine the factors influencing this efficiency to provide recommendations to optimize the allocation of health resources in rural China. Methods: This study analyzed health resource allocation efficiency in Chinese rural areas from 2012 to 2021 by using the super-efficiency SBM model and the global Malmquist model. Additionally, the spatial auto-correlation of THC health resource allocation efficiency was verified through Moran test, and three spatial econometric models were constructed to further analyze the factors influencing efficiency. Results: The key findings are: firstly, the average efficiency of health resource allocation in THCs was 0.676, suggesting a generally inefficient allocation of health resources over the decade. Secondly, the average Malmquist productivity index of THCs was 0.968, indicating a downward trend in efficiency with both non-scale and non-technical efficient features. Thirdly, Moran's Index analysis revealed that efficiency has a significant spatial auto-correlation and most provinces' values are located in the spatial agglomeration quadrant. Fourthly, the SDM model identified several factors that impact THC health resource allocation efficiency to varying degrees, including the efficiency of total health resource allocation, population density, PGDP, urban unemployment rate, Discussion: To enhance the efficiency of THC healthcare resource allocation in China, the government should not only manage the investment of health resources to align with the actual demand for health services but also make use of the spatial spillover effect of efficiency. This involves focusing on factors such as total healthcare resource allocation efficiency, population density, etc. to effectively enhance the efficiency of health resource allocation and ensure the health of rural residents.

Indexed as

Resource AllocationChinaEfficiency, OrganizationalHealth Care RationingHumansModels, EconometricRural Health ServicesRural PopulationSpatial Analysisdata envelopment analysis (DEA)resource allocationspatial auto-correlationSpatial Dubin Modeltownship health centers (THCs)

Identifiers

PMID39220456
PMCPMC11363543

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.