Data envelopment analysis on evaluating the efficiency of public hospitals in Tianjin, China

Bin Sun , Lianyun Zhang , Wenxiu Yang , Jingchao Zhang , Da Luo , Chao Han

Transactions of Tianjin University ›› 2016, Vol. 22 ›› Issue (2) : 182 -188.

PDF
Transactions of Tianjin University ›› 2016, Vol. 22 ›› Issue (2) : 182 -188. DOI: 10.1007/s12209-016-2725-8
Article

Data envelopment analysis on evaluating the efficiency of public hospitals in Tianjin, China

Author information +
History +
PDF

Abstract

Public hospitals are the most important components of health systems and account for a large proportion of health resources in China. However, few researches on the efficiency assessment of public hospitals have been conducted in Tianjin, China. On the basis of the data of annual health service report in 2013 from the Ministry of Health, we measured the relative efficiency of the tertiary general public hospitals in Tianjin and estimated the magnitudes of output increase and/or input reduction by using data envelopment analysis to improve hospital efficiency. The main findings of this study indicate that more than half of the sample hospitals operate at a technical and scale efficiency, and the prevalent scale inefficiency is increasing returns to scale. Moreover, it is a prominent issue that health resource constraint and resource waste coexist. Health policy-makers and hospital administrators would need to address these problems by taking comprehensive measures such as optimizing the allocation of health resources, implementing hierarchical diagnosis and treatment, as well as innovating medical-service operating mechanism of public hospital to improve the people’s wellbeing.

Keywords

public hospitals / efficiency / data envelopment analysis / Tianjin

Cite this article

Download citation ▾
Bin Sun, Lianyun Zhang, Wenxiu Yang, Jingchao Zhang, Da Luo, Chao Han. Data envelopment analysis on evaluating the efficiency of public hospitals in Tianjin, China. Transactions of Tianjin University, 2016, 22(2): 182-188 DOI:10.1007/s12209-016-2725-8

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Mehrtak M, Yusefzadeh H, Jaafaripooyan E. Pabon Lasso and data envelopment analysis: A complementary approach to hospital performance measurement [J]. Glob J Health Sci, 2014, 6(4): 107-116.

[2]

Song M L, Wu J, Wang Y M. An extended aggregated ratio analysis in DEA[J]. Journal of Systems Science and Systems Engineering, 2011, 20(2): 249-256.

[3]

Skrepnek GH. Regression methods in the empiric analysis of health care data[J]. J Manag Care Pharm, 2005, 11(3): 240-251.

[4]

Vitikainen K, Linna M, Street A. Substituting inpatient for outpatient care: What is the impact on hospital costs and efficiency?[J]. Eur J Health Econ, 2010, 11(4): 395-404.

[5]

Wagstaff A, Casasnovas G L. Hospital costs in Catalonia: A stochastic frontier analysis[J]. Appl Econ Lett, 1996, 3(7): 471-474.

[6]

Zhang T, Garvey E. A comparative analysis of multi-output frontier models[J]. Journal of Zhejiang University SCIENCE A, 2008, 9(10): 1426-1436.

[7]

Tsay W J, Huang C J, Fu T T, et al. A simple closed-form approximation for the cumulative distribution function of the composite error of stochastic frontier models[J]. J Prod Anal, 2013, 39(3): 259-269.

[8]

Chen Y, Ali AI. Output-input ratio analysis and DEA frontier[J]. Eur J Oper Res, 2002, 142(3): 476-479.

[9]

Neely A D, Adams C, Kennerley M. The Performance Prism: The Scorecard for Measuring and Managing Business Success[M], 2002, London, UK: rentice Hall Financial Times.

[10]

Kirigia J M, Emrouznejad A, Gama V R, et al. A comparative assessment of performance and productivity of health centres in Seychelles [J]. International Journal of Productivity and Performance Management, 2007, 57(1): 72-92.

[11]

Kirigia J M, Asbu E Z. Technical and scale efficiency of public community hospitals in Eritrea: An exploratory study [J]. Health Econ Rev, 2013, 3(1): 1-16.

[12]

Kirigia J M, Emrouznejad A, Cassoma B, et al. A performance assessment method for hospitals: The case of municipal hospitals in Angola[J]. J Med Syst, 2008, 32(6): 509-519.

[13]

Gai R Y, Zhou C C, Xu L Z, et al. Health resource allocation and productive efficiency of Chinese county hospitals: Data from 1993 to 2005 [J]. Biosci Trends, 2010, 4(5): 218-224.

[14]

Dimas G, Goula A, Soulis S. Productive performance and its components in Greek public hospitals[J]. Oper Res, 2012, 12(1): 15-27.

[15]

Zere E, McIntyre D, Addison T. Technical efficiency and productivity of public sector hospitals in three South African provinces[J]. S Afr J Econ, 2001, 69(2): 336-358.

[16]

Li H, Dong S, Liu T. Relative efficiency and productivity: A preliminary exploration of public hospitals in Beijing, China [J]. BMC Health Serv Res, 2014, 14(1): 1-11.

[17]

Mao Y J, Tian M M, Ye W Q, et al. Study of applying DEA model to improving nursing efficiency of cardiothoracic surgical ICU[J]. Chinese Journal of Modern Nursing, 2009, 15(7): 601-604.

[18]

Tang X, Liao J, Zhong R B, et al. Technical efficiency and its influencing factors of public hospitals in Sichuan province based on DEA-Tobit two-step method[J]. Practical Journal of Clinical Medicine, 2010, 11(7): 101-104.

[19]

Lin K, Shao Y H, Ma X J, et al. The comprehensive technical efficiency and determinants of tertiary public hospitals in Zhejiang province: DEA and Tobit-based analysis[J]. Chinese Journal of Health Policy, 2014, 7(8): 62-67.

[20]

Ma G F, Wang P C. Changes in scale efficiency of county public hospitals under new medical reform background[J]. Chinese Journal of Public Health, 2015, 31(2): 208-210.

[21]

Charnes A, Cooper W W, Rhodes E. Measuring the efficiency of decision making units [J]. European Journal of Operational Research, 1978, 2(6): 429-444.

[22]

Banker R D, Charnes A, Cooper W W. Some models for estimating technical and scale inefficiencies in data envelopment analysis [J]. Management Science, 1984, 30(9): 1078-1092.

[23]

Coelli T J. A Guide to DEAP Version 2.1: A Data Envelopment Analysis (Computer) Program[R], 1996, Australia: Department of Econometrics, University of New England.

[24]

Marschall P, Flessa S. Efficiency of primary care in rural Burkina Faso. A two-stage DEA analysis [J]. Health Econ Rev, 2011, 1(1): 1-15.

[25]

Basso A, Funari S. A data envelopment analysis approach to measure the mutual fund performance[J]. European Journal of Operational Research, 2001, 135(3): 477-492.

[26]

Wang J S, Zhang Z W, Dong S P. DEA-based comparative analysis for operational efficiency of grade-three hospitals in Beijing [J]. Chinese Health Quality Management, 2011, 18(4): 51-55.

[27]

Tang L, Zhang W, Yuan H, et al. Data envelopment analysis-based comparative analysis for operational efficiency of upper first-class general hospitals in Beijing and Shanghai [J]. Journal of Shanghai Jiao Tong University (Medical Science), 2014, 34(1): 95-99.

[28]

Wang W, Chen S, Peng X, et al. Efficiency analysis of public hospitals in Guangdong Province [J]. Chin Hosp Manage, 2008, 28(5): 16-19.

[29]

Matranga D, Sapienza F. Congestion analysis to evaluate the efficiency and appropriateness of hospitals in Sicily [J]. Health Policy, 2015, 119(3): 324-332.

AI Summary AI Mindmap
PDF

158

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/