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Performance and Managerial Ability Analysis in Health Sector: A Data Envelopment Analysis Approach

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Decision Making in Healthcare Systems

Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 513))

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Abstract

Since the healthcare system is one of the most important key sectors in a society and as health service supply is one of the personal development factors in any country, so paying heed to this sector can result in social well-being and prosperity. To ensure a better and more qualified health care, treatment and protection services, analysis of the related performance plays a major role in any health system. In so doing, proper usage of assets is an undeniable fact. This research aims at introducing an applicable case in health system sector of all hospitals in Iran where the performance analysis is measured. To do so, the data of thirty-one state hospitals are collected and after recognizing contextual variables and undesirable factor, performance analysis and managerial ability of each hospital are measured. To measure it, first, technical performance with undesirable factor, is calculated using data envelopment analysis. Then, the technical analysis logarithm of the first stage has been applied to a set of contextual variables which impact hospitals analysis. All the results are regressed later. Next, the managerial ability is measured by the remaining regression of the previous stage. Finally, a unique ranking according to managerial ability criterion is suggested. All in all, the results are analyzed in order to give practical recommendations to managers and for more efficient management of hospitals in Iran.

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References

  1. Farell, M.J.: The measurement of productive efficiency. J. R. Stat. Soc. Ser. A (General), 120(3), 253–290 (1957)

    Google Scholar 

  2. Charnes, A., Cooper, W.W., Rhodes, E.: Measuring the efficiency of decision-making units. Eur. J. Oper. Res. 2(6), 429–444 (1978)

    Article  MathSciNet  Google Scholar 

  3. Banker, R.D., Charnes, A., Cooper, W.W.: Some models for estimating technical and scale inefficiencies in data envelopment analysis. Manage. Sci. 30(9), 1078–1092 (1984)

    Article  Google Scholar 

  4. Charnes, A., Cooper, W.W., Golany, B., Seiford, L., Stutz, J.: Foundations of data envelopment analysis for Pareto-Koopmans efficient empirical production functions. J. Econometr. 30(1–2), 91–107 (1985)

    Article  MathSciNet  Google Scholar 

  5. Russell, R.R.: Measures of technical efficiency. J. Econ. Theory 35, 109–126 (1988)

    Article  MathSciNet  Google Scholar 

  6. Sueyoshi, T.: A special algorithm for an additive model in data envelopment analysis. J. Oper. Res. Soc. 41(3), 249–257 (1990)

    Article  MathSciNet  Google Scholar 

  7. Green, R.H., Cook, W., Doyle, J.: A note on the additive data envelopment analysis model. J. Oper. Res. Soc. 48(4), 446–448 (1997)

    Article  Google Scholar 

  8. Tone, K.: A slacks-based measure of efficiency in data envelopment analysis. Eur. J. Oper. Res. 130(3), 498–509 (2001)

    Article  MathSciNet  Google Scholar 

  9. Dyson, R.G., Allen, R., Camanho, A.S., Podinovski, V.V., Sarrico, C.S., Shale, E.A.: Pitfalls and protocols in DEA. Eur. J. Oper. Res. 132(2), 245–259 (2001)

    Article  Google Scholar 

  10. Coelli, T. J., Rao, D.S.P., O'Donnell, C.J., Battese, G.E.: An Introduction to Efficiency and Productivity Analysis. Springer Science & Business Media (2005)

    Google Scholar 

  11. Zhu, J., Cook, W.D.: Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis. Springer Science & Business Media (2007)

    Google Scholar 

  12. Cooper, W., Seiford, L.M., Tone, K.: Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References and DEA-Solver Software. Kluwer Academic Publishers, Boston (2007)

    Google Scholar 

  13. Emrouznejad, A., Tavares, G., Parker, B.: Evaluation of research in efficiency and productivity: a survey and analysis of the first 30 years of scholarly literature in DEA. Soc. Econ. Plann. Sci. 42(3), 151–157 (2008)

    Article  Google Scholar 

  14. Zhu, J.: Quantitative models for performance evaluation and benchmarking: data envelopment analysis with spreadsheets. Int. Ser. Oper. Res. Manage. Sci. 126, 14–40 (2009)

    Google Scholar 

  15. Wu, J., Zhu, Q., Chu, J., Liang, L.: Two-stage network structures with undesirable intermediate outputs reused: a DEA Based approach. Comput. Econ. 46(3), 455–477 (2015)

    Article  Google Scholar 

  16. Chu, J., Wu, J., Zhu, Q., An, Q., Xiong, B.: Analysis of China’s regional eco-efficiency: A DEA two-stage network approach with equitable efficiency decomposition. Comput. Econ. (2016). https://doi.org/10.1007/s10614-015-9558-8

  17. Castanias, R.P., Helfat, C.E.: Managerial resources and rents. J. Manag. 17(1), 155–171 (1991)

    Google Scholar 

  18. Barr, R., Siems, T.: Bank failure prediction using DEA to measure management quality (1997)

    Google Scholar 

  19. Adner, R., Helfat, C.: Corporate effects and dynamic managerial capabilities. Strateg. Manag. J. 24(10), 1011–1025 (2003)

    Article  Google Scholar 

  20. Helfat, C., Peteraf, M.: Managerial cognitive capabilities and the micro foundations of dynamic capabilities. Strateg. Manag. J. 36(6), 831–850 (2015)

    Article  Google Scholar 

  21. Demerjian, P., Lev, B., McVay, S.: Quantifying managerial ability: a new measure and validity tests. Manage. Sci. 58(7), 1229–1248 (2012)

    Article  Google Scholar 

  22. Demerijian, P., Lewis-Western, M., McVay, S.: How does intentional earnings smoothing vary with managerial ability? J. Acc. Audit. Financ. 35(2), 1–32 (2020)

    Google Scholar 

  23. Murthi, B., Srinivasan, K., Kalyanaram, G.: Controlling for observed and unobserved managerial skills in determining first-mover market share advantage. J. Mark. Res. 33(3), 329–336 (1996)

    Article  Google Scholar 

  24. Leverty, J.T., Grace, M.F.: Dupes or incompetents? An examination of management’s impact on firm distress. J. Risk Insur. 79(3), 751–783 (2012)

    Article  Google Scholar 

  25. Kweh, Q.L., Chan, Y.C., Ting, I.W.K.: Measuring intellectual capital efficiency in the Malaysian software sector. J. Intellect. Cap. 14(2), 310–324 (2013)

    Article  Google Scholar 

  26. Banker, R.D., Park, H.: A Statistical Foundation for the Measurement of Managerial Ability. Working Paper, Temple University, Philadelphia, PA (2020)

    Google Scholar 

  27. Banker, R.D., Luo, J., Oh, H.: Measuring managerial ability in the insurance industry. Data Envelop. Analysis J. 5(1), 115–143 (2021)

    Article  Google Scholar 

  28. Cvetkoska, V., Eftimov, L., Ivanovsky, I., Kamenjarska, T.: Measuring the managerial ability in the insurance companies in the Republic of North Macedonia, Croatia, Serbia and Slovenia and identifying its determinants. Int. J. Banking Risk Insur. 10(1), (2022)

    Google Scholar 

  29. Shephard, R.W.: Theory of Cost and Production Functions. Princeton University Press, Princeton (1970)

    Google Scholar 

  30. Fare, R., Grosskopf, S.: Nonparametric productivity analysis with undesirable outputs: comment. Am. J. Agr. Econ. 85, 1070–1074 (2003)

    Article  Google Scholar 

  31. Kuosmanen, T.: Weak disposability in nonparametric productivity analysis with undesirable outputs. Am. J. Agr. Econ. 87, 1077–1082 (2005)

    Article  Google Scholar 

  32. Zhu, J.: Quantitative Models for Performance Evaluation and Benchmarking: Data Envelopment Analysis with Spreadsheets and DEA Excel Solver. Kluwer Academic Publishers, Boston (2002)

    Google Scholar 

  33. Rivera, B.: The effects of public health spending on self-assessed health status: an ordered probit model. Appl. Econ. 33(10), 1313–1319 (2010)

    Article  Google Scholar 

  34. Shwartz, M., BurgessJr, J.F., Zhu, J.: A DEA based composite measure of quality and its associated data uncertainty interval for health care provider profiling and pay-for-performance. Eur. J. Oper. Res., 489–502 (2016)

    Google Scholar 

  35. Darabi, N., Ebrahimvandi, A., Hosseinichimeh, N., Triantis K.: A DEA evaluation of U.S. States’ healthcare systems in terms of their birth outcomes. Expert Syst. Appl. 182 (2021)

    Google Scholar 

  36. Ortega-Díaz, M.I., Martín J.C.: How to detect hospitals where quality would not be jeopardized by health cost savings? A methodological approach using DEA with SBM analysis. Health Policy 126(10), 1069–1074 (2022)

    Google Scholar 

  37. Liu, H., Wu, W., Yao, P.: A study on the efficiency of pediatric healthcare services and its influencing factors in China—estimation of a three-stage DEA model based on provincial-level data. Soc. Econ. Plann. Sci. 84 (2022)

    Google Scholar 

  38. Banker, R.D., Natarajan, R.: Evaluating contextual variables affecting productivity using data envelopment analysis. Oper. Res. 56(1), 48–58 (2008)

    Article  MathSciNet  Google Scholar 

  39. Banker, R.D., Natarajan, R., Zhang, D.: Two-stage estimation of the impact of contextual variables in stochastic frontier production function models using data envelopment analysis: second stage OLS versus bootstrap approaches. Eur. J. Oper. Res. 278(2), 368–384 (2019)

    Article  MathSciNet  Google Scholar 

  40. Caballer-Tarazona, M., Moya-Clemente, I., Vivas-Consuelo, D., Barrachina-Martínez, I.: A model to measure the efficiency of hospital performance. Math. Comput. Model. 52, 1095–1102 (2010)

    Article  Google Scholar 

  41. Al-Shayea, A.M.: Measuring hospital’s units efficiency: a data envelopment analysis approach. Int. J. Eng. Technol. IJET-IJENS 11(06) (2011)

    Google Scholar 

  42. Asanduluia, L., Romanb, M., Fatulescua, P.: The efficiency of healthcare systems in Europe: a data envelopment analysis approach. Proc. Econ. Financ. 10, 261–268 (2014)

    Article  Google Scholar 

  43. Yeşilaydin, G.: Health efficiency measurment in turkey by using data envelopment analysis: a systematic review. Ankara Sağlık Bilimleri Dergisi (1–2–3), 49–69 (2017)

    Google Scholar 

  44. Stefko, R., Gavurova, B., Kocisova, K.: Healthcare efficiency assessment using DEA analysis in the Slovak Republic. Heal. Econ. Rev. 8(6) (2018)

    Google Scholar 

  45. Ibrahim, M.D., Daneshvar, S.: Efficiency analysis of healthcare system in lebanon using modified data envelopment analysis. J. Healthc. Eng. 6

    Google Scholar 

  46. Kocisova, K., Hass-Symotiuk, M., Kludacz-Alessandr, M.: Use of the DEA method to verify the performance model for hospitals. Ekonomika Manage. 21(4), 125–140 (2018)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Faculty of Engineering and Natural Sciences, Istinye University, Istanbul, Turkey

    Alireza Amirteimoori

  2. Department of Applied Mathematics, Islamic Azad University, Rasht Branch, Rasht, Iran

    Sharmineh Safarpour & Leila Khoshandam

  3. Department of Applied Mathematics, Islamic Azad University, Lahijan Branch, Lahijan, Iran

    Sohrab Kordrostami

Authors
  1. Alireza Amirteimoori
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  2. Sharmineh Safarpour
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  3. Sohrab Kordrostami
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  4. Leila Khoshandam
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Corresponding author

Correspondence to Alireza Amirteimoori .

Editor information

Editors and Affiliations

  1. Faculty of Engineering and Natural Sciences, Istinye University, Istanbul, Türkiye

    Tofigh Allahviranloo

  2. Department of Mathematics, Science and Research Branch, Islamic Azad University, Tehran, Iran

    Farhad Hosseinzadeh Lotfi

  3. School of Information Technology, Deakin University, Waurn Ponds Campus, Geelong, VIC, Australia

    Zohreh Moghaddas

  4. Department of Mathematics, Islamic Azad University, Rasht, Iran

    Mohsen Vaez-Ghasemi

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Amirteimoori, A., Safarpour, S., Kordrostami, S., Khoshandam, L. (2024). Performance and Managerial Ability Analysis in Health Sector: A Data Envelopment Analysis Approach. In: Allahviranloo, T., Hosseinzadeh Lotfi, F., Moghaddas, Z., Vaez-Ghasemi, M. (eds) Decision Making in Healthcare Systems. Studies in Systems, Decision and Control, vol 513. Springer, Cham. https://doi.org/10.1007/978-3-031-46735-6_16

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