Evidence map›Paper›PMID 29176142›Full record

ArticleChinese medical journal2017

Efficiency and Productivity of County-level Public Hospitals Based on the Data Envelopment Analysis Model and Malmquist Index in Anhui, China.

Nian-Nian Li, Cun-Hui Wang, Hong Ni, Heng Wang

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Article in Chinese medical journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

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18citing papers in PubMed
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1 · What the graph read from it

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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

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18 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.

Nian-Nian LiDepartment of Research Administration Office (NNL); Department of Dean's Office, First Affiliated Hospital of Anhui Medical University, Hefei, Anhui 230022, China.
Cun-Hui WangDepartment of Health Services Management, School of Health Administration, Anhui Medical University, Hefei, Anhui 230032, China.
Hong NiDepartment of Dean's Office, Children's Hospital of Anhui Province, Hefei, Anhui 230000, China.
Heng WangDepartment of Research Administration Office (NNL); Department of Dean's Office, First Affiliated Hospital of Anhui Medical University, Hefei, Anhui 230022, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChina began to implement the national medical and health system and public hospital reforms in 2009 and 2012, respectively. Anhui Province is one of the four pilot provinces, and the medical reform measures received wide attention nationwide. The effectiveness of the above reform needs to get attention. This study aimed to master the efficiency and productivity of county-level public hospitals based on the data envelopment analysis (DEA) model and Malmquist index in Anhui, China, and then provide improvement measures for the future hospital development.

methodsWe chose 12 country-level hospitals based on geographical distribution and the economic development level in Anhui Province. Relevant data that were collected in the field and then sorted were provided by the administrative departments of the hospitals. DEA models were used to calculate the dynamic efficiency and Malmquist index factors for the 12 institutions.

resultsDuring 2010-2015, the overall average relative service efficiency of 12 county-level public hospitals was 0.926, and the number of hospitals achieved an effective DEA for each year from 2010 to 2015 was 4, 6, 7, 7, 6, and 8, respectively, as measured using DEA. During this same period, the average overall production efficiency was 0.983, and the total productivity factor had declined. The overall production efficiency of five hospitals was >1, and the rest are <1 between 2010 and 2015.

conclusionsIn 2010-2015, the relative service efficiency of 12 county-level public hospitals in Anhui Province showed a decreasing trend, and the service efficiency of each hospital changed. In the past 6 years, although some hospitals have been effective, the efficiency of the county-level public hospitals in Anhui Province has not improved significantly, and the total factor productivity has not been effectively improved. County-level public hospitals need to combine their own reality to find their own deficiencies.

Indexed as

Models, TheoreticalChinaHealth Care ReformHospitals, PublicHumans

Identifiers

PMID29176142
PMCPMC5717863

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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.