Evidence map›Paper›PMID 37435525›Full record

ArticleFrontiers in public health2023

Research on equity of medical resource allocation in Yangtze River Economic Belt under healthy China strategy.

Liu Ya-Qing, Niu Hao-Ran, Tian Xiang-Yang, Zhang Mei-Cheng, Jiang Feng, Qian Yu-Tong, Cao Jian-Bo

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
5.6field-weighted citation impact, top 4% of its field
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

21 citing papers in PubMed, 19 citations in OpenAlex.

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  14. Health system efficiency and equity in ASEAN: an empirical investigation.Cost effectiveness and resource allocation : C/E · 2024
    Article
  15. Article
  16. Equity and trends in the allocation of health human resources in China from 2012 to 2021.Archives of public health = Archives belges de sante publique · 2024
    Article
  17. Spatial equity and factors associated with intensive care unit bed allocation in China.Archives of public health = Archives belges de sante publique · 2024
    Article
  18. Article
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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

7 authors at 3 institutions in 1 country.

Liu Ya-QingSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Niu Hao-RanSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Tian Xiang-YangChina State Construction Northwestern Regional Headquarters, China State Construction Silkroad Construction Investment Group co., LTD, Xian, Shanxi, China.
Zhang Mei-ChengSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Jiang FengSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Qian Yu-TongSchool of Marxism, Party School of CPC Hubei Provincial Committee, Wuhan, Hubei, China.
Cao Jian-BoSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Huazhong University of Science and Technology · CNChina State Construction Engineering (China) · CNCPC Heilongjiang Provincial Committee Party School · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to assess the fairness of medical resource allocation in the Yangtze River Economic Belt, based on the Healthy China strategy. It aimed to identify the issues with resource allocation fairness and provide optimization suggestions. Methods: To assess the allocation fairness from a geographical population perspective, the study used the Health Resource Concentration and Entropy Weight TOPSIS methods. Additionally, the study analyzed the allocation fairness from an economic level angle, using the Concentration Curve and Concentration Index. Results: The study found that the downstream area had higher resource allocation fairness than the midstream and upstream areas. The middle reaches had more resources than the upper and lower reaches, based on population concentration. The Entropy Weight TOPSIS method found that Shanghai, Zhejiang, Chongqing, and Jiangsu had the highest comprehensive score index of agglomeration. Furthermore, from 2013 to 2019, the fairness of medical resource distribution gradually improved for different economic levels. Government health expenditure and medical beds were distributed more equitably, while general practitioners had the highest level of unfairness. However, except for medical and health institutions, traditional Chinese medicine institutions, and primary health institutions, other medical resources were mostly distributed to areas with better economic conditions. Conclusion: The study found that the fairness of medical resource allocation in the Yangtze River Economic Belt varied greatly based on geographical population distribution, with inadequate spatial accessibility and service accessibility. Although the fairness of distribution based on economic levels improved over time, medical resources were still concentrated in better economic areas. The study recommends improving regional coordinated development to enhance the fairness of medical resource allocation in the Yangtze River Economic Belt.

Indexed as

General PractitionersResource AllocationChinaGovernmentHealth ExpendituresHumansdata envelopment analysisequalityhealth equalitieshealthy China strategyYangtze River Economic Belt

Identifiers

PMID37435525
PMCPMC10332165
OpenAlexW4382023022

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.