Evidence map›Paper›PMID 35963775›Full record

ArticleInternational health2023

The efficiency of health resource allocation and its influencing factors: evidence from the super efficiency slack based model-Tobit model.

Jing Gong, Leiyu Shi, Xiaohan Wang, Gang Sun

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Article in International health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

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24citing papers in PubMed
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24 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Jing GongDepartment of Hospital Management, Tsing Hua University, Shenzhen Campus, Shenzhen 518000, China.
Leiyu ShiDepartment of Health Policy and Management, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA.
Xiaohan WangDepartment of Health Management, School of Health Management, Southern Medical University, Guangzhou, Guangdong 510515, China.
Gang SunDepartment of Health Management, School of Health Management, Southern Medical University, Guangzhou, Guangdong 510515, China.ORCID 0000-0002-9642-2886

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aims to analyze the health resource allocation efficiency in Sichuan Province from 2010 to 2018 and provide other countries with China's experience.

methodsWe used the super efficiency slack based model (SBM) model and Malmquist index to analyze the super efficiency and inter-period efficiency of health resource allocation in 19 cities in Sichuan Province from 2010 to 2018 and propose the input-output optimization scheme of health resource allocation in 2018. Finally, the Tobit model was used to estimate the influencing factors of health resource allocation efficiency.

resultsThe total allocation of health resources in Sichuan Province was increasing in addition to the total number of visits from 2010 to 2018. The super efficiency SBM results identified that the sample's average score was between 0.651 and 3.244, with an average of 1.041, of which 15 cities had not reached data envelopment analysis effectiveness. According to the Malmquist index, the average total factor productivity index of Sichuan Province was 0.930, which showed an imbalance in resource input, and its fluctuation was mainly related to the technological progress index and scale efficiency. The efficiency score was affected by the average annual income of residents, population density and education level.

conclusionsThe amount of health resource allocation in Sichuan Province had shown an overall upward trend since 2010. However, resource allocation efficiency was not high, and there were problems such as significant regional differences, insufficient technological innovation capabilities and unscientific allocation of resource scale. To optimize the resource allocation structure, we suggest that the relevant departments pay attention to the impact of natural disasters, the average annual income of residents, population density and education level on efficiency to allocate health resources scientifically.

Indexed as

EfficiencyHealth ResourcesChinaCitiesEconomic DevelopmentHumansResource Allocationhealthcare resourceMalmquist index modelproductivitysuper efficiency SBM modelTobit model

Identifiers

PMID35963775
PMCPMC10153566

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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.