Evidence map›Paper›PMID 39267642›Full record

ArticleFrontiers in public health2024

Health resource allocation within the close-knit medical consortium after the Luohu healthcare reform in China: efficiency, productivity, and influencing factors.

Fangfang Gong, Ying Zhou, Junxia Luo, Guangyu Hu, Hanqun Lin

Abstract read
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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 4 papers.

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4citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Public Preferences Regarding Equitable Healthcare Rationing Across Gender Identities in China.International journal of environmental research and public health · 2025
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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.

Fangfang Gong *Department of Hospital Group Office, Shenzhen Luohu Hospital Group Luohu People's Hospital, (The Third Affiliated Hospital of Shenzhen University), Shenzhen, China.
Ying Zhou *Department of Hospital Group Office, Shenzhen Luohu Hospital Group Luohu People's Hospital, (The Third Affiliated Hospital of Shenzhen University), Shenzhen, China.
Junxia LuoDepartment of Hospital Group Office, Shenzhen Luohu Hospital Group Luohu People's Hospital, (The Third Affiliated Hospital of Shenzhen University), Shenzhen, China.
Guangyu HuInstitute of Medical Information, Center for Health Policy and Management, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Hanqun LinDepartment of Hospital Group Office, Shenzhen Luohu Hospital Group Luohu People's Hospital, (The Third Affiliated Hospital of Shenzhen University), Shenzhen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aims to assess the efficiency and productivity of the Luohu Hospital Group after the reform and to identify factors influencing the efficiency to support the future development of medical consortia. Methods: Data on health resources from Shenzhen and the Luohu Hospital Group for the years 2015 to 2021 were analyzed using the super-efficiency slack-based measure data envelopment analysis (SE-SBM-DEA) model, Malmquist productivity index (MPI), and Tobit regression to evaluate changes in efficiency and productivity and to identify determinants of efficiency post-reform. Results: After the reform, the efficiency of health resource allocation within the Luohu Hospital Group improved by 33.87%. Community health centers (CHCs) within the group had an average efficiency score of 1.046. Moreover, the Luohu Hospital Group's average total factor productivity change (TFPCH) increased by 2.5%, primarily due to gains in technical efficiency change (EFFCH), which offset declines in technical progress change (TECHCH). The efficiency scores of CHCs were notably affected by the ratio of general practitioners (GPs) to health technicians and the availability of home hospital beds. Conclusion: The reform in the Luohu healthcare system has shown preliminary success, but continuous monitoring is necessary. Future strategies should focus on strengthening technological innovation, training GPs, and implementing the home hospital bed policy. These efforts will optimize the efficiency of health resource allocation and support the integration and development of resources within the medical consortium.

Indexed as

Efficiency, OrganizationalHealth Care ReformResource AllocationChinaCommunity Health CentersHealth Care RationingHumansefficiencyhealth resource allocationmedical consortiumproductivityreform

Identifiers

PMID39267642
PMCPMC11390686

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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.