Have a personal or library account? Click to login
A novel DEA model for hospital performance evaluation based on the measurement of efficiency, effectiveness, and productivity Cover

A novel DEA model for hospital performance evaluation based on the measurement of efficiency, effectiveness, and productivity

Open Access
|May 2020

References

  1. Azadi, M., Jafarian, M., Saen, R. F., & Mirhedayatian, S. M. (2015). A new fuzzy DEA model for evaluation of efficiency and effectiveness of suppliers in sustainable supply chain management context. Computers and Operations Research, 54, 274-285.
  2. Bannick, R. R., & Ozcan, Y. A. (1995). Efficiency analysis of federally funded hospitals: Comparison of DoD and VA hospitals using data envelopment analysis. Health Services Management Research, 8(2), 73-85.
  3. Buchelt, B. I., Fraczkiewicz-Wronka, A., & Kaminska, R. (2017). Key determinants of human resource management in hospitals: stakeholder perspective. Engineering Management in Production and Services, 9(2), 105-115.
  4. Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), 429-444.
  5. Chen, Y., Wang, J., Zhu, J., Sherman, H. D., & Chou, S. Y. (2017). How the Great Recession affects performance: a case of Pennsylvania hospitals using DEA. Annals of Operations Research, 1-23.
  6. Chodakowska, E., & Nazarko, J. (2017a). Environmental DEA Method for Assessing Productivity of European Countries. Technological and Economic Development f Economy, 23(4), 589-607. doi: 10.3846/20294913.2016.1272069
  7. Chodakowska, E., & Nazarko, J. (2017b). Network DEA Models for Evaluating Couriers and Messengers. Procedia Engineering, 182, 106-111. doi: 10.1016/j. proeng.2017.03.130
  8. Chowdhury, H., & Zelenyuk, V. (2016). Performance of hospital services in Ontario: DEA with truncated regression approach. Omega (United Kingdom), 63, 111-122.
  9. Chuang, C.-L., Chang, P.-C., & Lin, R.-H. (2011). An efficiency data envelopment analysis model reinforced by classification and regression tree for hospital performance evaluation. Journal of Medical Systems, 35(5), 1075-1083.
  10. Docekalova, M., & Bockova, N. (2013). The use of data envelopment analysis to assess the R&D effectiveness of the Czech manufacturing industry. Business: Theory and Practice, 14(4), 308-3f4. doi: f0.3846/btp.20f3.32
  11. Ersoy, K., Kavuncubasi, S., Ozcan, Y. A., & Harris, J. M. (1997). Technical efficiencies of Turkish hospitals: DEA approach. Journal of Medical Systems, 21(2), 67-74.
  12. García-Sánchez, I. M. (2007). Efficiency and effectiveness of Spanish football teams: A three-stage-DEA approach. Central European Journal of Operations Research, 15(1), 21-45. doi: 10.1007/sl0100-006-0017-4
  13. Gholami, R., Anón Higón, D., & Emrouznejad, A. (2015). Hospital performance: Efficiency or quality? Can we have both with IT? Expert Systems with Applications, 42(12), 5390-5400.
  14. Grmanová, E., & Pukala, R. (2018). Efficiency of insurance companies in the Czech Republic and Poland. Oeconomia Copernicana, 9(1), 71-85. doi: 10.24136/ oc.2018.004
  15. Haghighi, S. M., & Torabi, S. A. (2018). A novel mixed sustainability-resilience framework for evaluating hospital information systems. International Journal of Medical Informatics, 118, 16-28.
  16. Johannessen, K. A., Kittelsen, S. A. C., & Hagen, T. P. (2017). Assessing physician productivity following Norwegian hospital reform: A panel and data envelopment analysis. Social Science and Medicine, 175, 117-126.
  17. Kang, H., Nembhard, H., DeFlitch, C., & Pasupathy, K. (2017). Assessment of emergency department efficiency using data envelopment analysis. IISE Transactions on Healthcare Systems Engineering, 7(4), 236-246. doi: 10.1080/24725579.2017.1367978
  18. Karlaftis, M. G. (2004). A DEA approach for evaluating the efficiency and effectiveness of urban transit systems. European Journal of Operational Research, 152(2), 354-364. doi: 10.1016/S0377-2217(03)00029-8
  19. Keegan, A. D. (2010). Hospital bed occupancy: More than queuing for a bed. Medical Journal of Australia, 193(5), 291-293. doi: 10.5694/j.1326-5377.2010. tb03910.x
  20. Keh, H. T., Chu, S., & Xu, J. (2005). Efficiency, effectiveness and productivity of marketing in services. European Journal of Operational Research, 170(1), 265-276. doi: 10.1016/j.ejor.2004.04.050
  21. Khushalani, J., & Ozcan, Y. A. (2017). Are hospitals producing quality care efficiently? An analysis using Dynamic Network Data Envelopment Analysis (DEA). Socio-Economic Planning Sciences, 60, 15-23. doi: 10.1016/j.seps.2017.01.009
  22. Kohl, S., Schoenfelder, J., Fügener, A., & Brunner, J. O. (2018). Correction to: The use of Data Envelopment Analysis (DEA) in healthcare with a focus on hospitals. Health Care Management Science, 1. doi: 10.1007/S10729-018-9443-9
  23. Kumar, S., & Gulati, R. (2010). Measuring efficiency, effectiveness and performance of Indian public sector banks. International Journal of Productivity and Performance Management, 59(1), 51-74. doi: 10.1108/17410401011006112
  24. Lachowska, A. (2017). Efficiency of public and nonpublic primary health care providers in Poland. Engineering Management in Production and Services, 9(2), 57-63.
  25. Lan, L. W., & Lin, E. T. J. (2003). Technical Efficiency and Service Effectiveness for Railways Industry: Dea Approaches. Journal of the Eastern Asia Society for Transportation Studies, 5(January 2014), 2932-2947.
  26. Liao, H., Mi, X., Yu, Q., & Luo, L. (2019). Hospital performance evaluation by a hesitant fuzzy linguistic best worst method with inconsistency repairing. Journal of Cleaner Production, 232, 657-671. doi: 10.1016/j. jclepro.2019.05.308
  27. Lobo, M. S. de C., Rodrigues, H. de G, André, E. C. G., Azeredo, J. A. de, & Lins, M. P. E. (2016). Dynamic network data envelopment analysis for university hospitals evaluation. Revista de Saúde Pública, 50(0), 1-11.
  28. Lupo, T. (2013). Strategic analysis of transit service quality using fuzzy AHP methodology. European Transport - Trasporti Europei, 38(53), 9407-9424.
  29. Mitropoulos, P., Talias, M. A., & Mitropoulos, I. (2015). Combining stochastic DEA with Bayesian analysis to obtain statistical properties of the efficiency scores: An application to Greek public hospitals. European Journal of Operational Research, 243(1), 302-311. doi: 10.1016/j.ejor.2014.11.012
  30. Nassiri, S. M., & Singh, S. (2009). Study on energy use efficiency for paddy crop using data envelopment analysis (DEA) technique. Applied Energy, 86(7-8), 1320-1325.
  31. Nazarko, J., & Chodakowska, E. (2015). Measuring Productivity of Construction Industry in Europe with Data Envelopment Analysis. Procedia Engineering, 122,204-212. doi: 10.1016/j.proeng.2015.10.026
  32. Nazarko, J.,& Šaparauskas, J. (2014). Application of DEA method in efficiency evaluation of public higher education institutions. Technological and Economic Development of Economy, 20(1), 25-44.
  33. O'Neill, L., Rauner, M., Heidenberger, K., & Kraus, M. (2008). A cross-national comparison and taxonomy of DEA-based hospital efficiency studies. Socio-Economic Planning Sciences, 42(3), 158-189.
  34. Omrani, H., Shafaat, K., & Emrouznejad, A. (2018). An integrated fuzzy clustering cooperative game data envelopment analysis model with application in hospital efficiency. Expert Systems with Applications, 114, 615-628. doi: 10.1016/j.eswa.2018.07.074
  35. Ouellette, P., & Vierstraete, V. (2004). Technological change and efficiency in the presence of quasi-fixed inputs: A DEA application to the hospital sector. European Journal of Operational Research, 154(3), 755-763.
  36. Pastor, J. T., Ruiz, J. L., & Sirvent, I. (1999). Enhanced DEA Russell graph efficiency measure. European Journal of Operational Research, 115(3), 596-607. doi: 10.1016/ S0377-2217(98)00098-8
  37. Prakash, V., & Annapoorni, D. (2015). Performance Evaluation of Public Hospitals in Tamil Nadu: DEA Approach. Journal of Health Management, 17(4), 417-424. doi: 10.1177/0972063415606267
  38. Rezaee, M. J., & Karimdadi, A. (2015). Do Geographical Locations Affect in Hospitals Performance? A Multi-group Data Envelopment Analysis. Journal of Medical Systems, 39(9). doi: 10.1007/S10916-015-0278-3
  39. Rouyendegh, B. D., Oztekin, A., Ekong, J., & Dag, A. (2016). Measuring the efficiency of hospitals: a fully-ranking DEA-FAHP approach. Annals of Operations Research, pp. 1-18.
  40. Sajnóg, A. (2015). Comparative analysis of economic efficiency of Polish and German listed companies. Oeconomia Copernicana, 6(2), 67-87. doi: 10.12775/ OeC.2015.013
  41. Stefko, R., Gavurova, B., & Korony, S. (2016). Efficiency measurement in healthcare work management using Malmquist indices. Polish Journal of Management Studies, 13(1), 168-180.
  42. Tavassoli, M., Faramarzi, G. R., & Farzipoor Saen, R. (2014). Efficiency and effectiveness in airline performance using a SBM-NDEA model in the presence of shared input. Journal of Air Transport Management, 34, 146-153. doi: 10.1016/j.jairtraman.2013.09.001
  43. Twardowska, K., & Jewczak, M. (2017). The issues of healthcare-associated infections—the economic and social perspective. Engineering Management in Production and Services, 9(2), 21-31.
  44. Wang, X., Luo, H., Qin, X., Feng, J Gao, H., & Feng, Q. (2016). Evaluation of performance and impacts of maternal and child health hospital services using Data Envelopment Analysis in Guangxi Zhuang Autonomous Region, China: a comparison study among poverty and non-poverty county level hospitals. International Journal for Equity in Health, 15(1), 131.
  45. Weng, S.-J., Wu, T., Blackhurst, J., & Mackulak, G. (2009). An extended DEA model for hospital performance evaluation and improvement. Health Services and Outcomes Research Methodology, 9(1), 39.
  46. Yang, C.-C. (2017). Measuring health indicators and allocating health resources: a DEA-based approach. Health Care Management Science, 20(3), 365-378.
  47. Yawe, B. (2010). Hospital performance evaluation in Uganda: a super-efficiency data envelope analysis model. Zambia Social Science Journal, 1(1), 6.
  48. Yu, M. M., & Lin, E. T. J. (2008). Efficiency and effectiveness in railway performance using a multi-activity network DEA model. Omega, 36(6), 1005-1017. doi: 10.1016/j.omega.2007.06.003
  49. Zare, H., Tavana, M., Mardani, A., Masoudian, S., & Kamali Saraji, M. (2018). A hybrid data envelopment analysis and game theory model for performance measurement in healthcare. Health Care Management Science. doi: 10.1007/sl0729-018-9456-4
  50. Zhijun, L. I. N., Zengbiao, Y. U., & Zhang, L. (2014). Performance outcomes of balanced scorecard application in hospital administration in China. China Economic Review, 30, 1-15.
DOI: https://doi.org/10.2478/emj-2020-0001 | Journal eISSN: 2543-912X | Journal ISSN: 2543-6597
Language: English
Page range: 7 - 19
Submitted on: Sep 15, 2019
Accepted on: Jan 15, 2020
Published on: May 10, 2020
Published by: Bialystok University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2020 Mohammad Ghahremanloo, Aliakbar Hasani, Maghsoud Amiri, Mohammad Hashemi-Tabatabaei, Mehdi Keshavarz-Ghorabaee, Leonas Ustinovičius, published by Bialystok University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.