Efficiency and Productivity of County-level Public Hospitals Based on the Data Envelopment Analysis Model and Malmquist Index in Anhui, China
Background: China 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 t...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wolters Kluwer
2017-01-01
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| Series: | Chinese Medical Journal |
| Subjects: | |
| Online Access: | http://www.cmj.org/article.asp?issn=0366-6999;year=2017;volume=130;issue=23;spage=2836;epage=2843;aulast=Li |
| _version_ | 1818502327779196928 |
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| author | Nian-Nian Li Cun-Hui Wang Hong Ni Heng Wang |
| author_facet | Nian-Nian Li Cun-Hui Wang Hong Ni Heng Wang |
| author_sort | Nian-Nian Li |
| collection | DOAJ |
| description | Background: China 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.
Methods: We 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.
Results: During 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.
Conclusions: In 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. |
| first_indexed | 2024-12-10T21:08:46Z |
| format | Article |
| id | doaj.art-2457ee77a1484af29b572b830267ae40 |
| institution | Directory Open Access Journal |
| issn | 0366-6999 |
| language | English |
| last_indexed | 2024-12-10T21:08:46Z |
| publishDate | 2017-01-01 |
| publisher | Wolters Kluwer |
| record_format | Article |
| series | Chinese Medical Journal |
| spelling | doaj.art-2457ee77a1484af29b572b830267ae402022-12-22T01:33:33ZengWolters KluwerChinese Medical Journal0366-69992017-01-01130232836284310.4103/0366-6999.219148Efficiency and Productivity of County-level Public Hospitals Based on the Data Envelopment Analysis Model and Malmquist Index in Anhui, ChinaNian-Nian LiCun-Hui WangHong NiHeng WangBackground: China 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. Methods: We 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. Results: During 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. Conclusions: In 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.http://www.cmj.org/article.asp?issn=0366-6999;year=2017;volume=130;issue=23;spage=2836;epage=2843;aulast=LiChina; County Level Public Hospital; Data Envelopment Analysis; Malmquist Index; Service Efficiency |
| spellingShingle | Nian-Nian Li Cun-Hui Wang Hong Ni Heng Wang Efficiency and Productivity of County-level Public Hospitals Based on the Data Envelopment Analysis Model and Malmquist Index in Anhui, China Chinese Medical Journal China; County Level Public Hospital; Data Envelopment Analysis; Malmquist Index; Service Efficiency |
| title | Efficiency and Productivity of County-level Public Hospitals Based on the Data Envelopment Analysis Model and Malmquist Index in Anhui, China |
| title_full | Efficiency and Productivity of County-level Public Hospitals Based on the Data Envelopment Analysis Model and Malmquist Index in Anhui, China |
| title_fullStr | Efficiency and Productivity of County-level Public Hospitals Based on the Data Envelopment Analysis Model and Malmquist Index in Anhui, China |
| title_full_unstemmed | Efficiency and Productivity of County-level Public Hospitals Based on the Data Envelopment Analysis Model and Malmquist Index in Anhui, China |
| title_short | Efficiency and Productivity of County-level Public Hospitals Based on the Data Envelopment Analysis Model and Malmquist Index in Anhui, China |
| title_sort | efficiency and productivity of county level public hospitals based on the data envelopment analysis model and malmquist index in anhui china |
| topic | China; County Level Public Hospital; Data Envelopment Analysis; Malmquist Index; Service Efficiency |
| url | http://www.cmj.org/article.asp?issn=0366-6999;year=2017;volume=130;issue=23;spage=2836;epage=2843;aulast=Li |
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