De Nicola, Arianna and Gitto, Simone and Mancuso, Paolo (2011): Healthcare reform in Italy: an analysis of efficiency based on nonparametric methods. Published in: The International journal of health planning and management (2014)
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Abstract
Over the past twenty years, important changes in the Italian health system have led to different approaches in organizing, delivering and financing health services throughout the regions of the country. This study aims to examine the impact these factors have had on efficiency. The methodology adopted is based on the developments in bootstrapping Data Envelopment Analysis (DEA). In particular, employing a two-stage procedure, we analyzed the impact that political interventions have produced on healthcare efficiency. The data, which were at the local health unit level for the period 2004-2005, were aggregated to the provincial level in order to take into account patient mobility. The study reveals that the organizational model adopted by the Lombardia region allows for the best results in healthcare efficiency. Second, administrative decentralization from the regional governments to local health units is a source of inefficiency. Third, adjusting the cost of delivering care, by taking into consideration regional health characteristics, improves efficiency. Finally, future policy interventions should make careful valuations of the impacts of patient mobility on healthcare efficiency.
Item Type: | MPRA Paper |
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Original Title: | Healthcare reform in Italy: an analysis of efficiency based on nonparametric methods |
Language: | English |
Keywords: | healthcare efficiency; two-stage estimation; Data Envelopment Analysis; patient mobility; bootstrap |
Subjects: | C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C14 - Semiparametric and Nonparametric Methods: General I - Health, Education, and Welfare > I1 - Health > I18 - Government Policy ; Regulation ; Public Health D - Microeconomics > D2 - Production and Organizations > D24 - Production ; Cost ; Capital ; Capital, Total Factor, and Multifactor Productivity ; Capacity I - Health, Education, and Welfare > I1 - Health |
Item ID: | 68690 |
Depositing User: | SIMONE GITTO |
Date Deposited: | 07 Jan 2016 07:29 |
Last Modified: | 29 Sep 2019 08:09 |
References: | [1] France G, Taroni F, Donatini A. The Italian health-care system. Health Economics 2005; 14:187-202. [2] Simar L, Wilson P. Estimation and inference in two stage, semi-parametric models of productive efficiency. Journal of Econometrics 2007;136: 31-64. [3] Retzlaff-Roberts D, Chang C, Rubin R.M. Technical efficiency in the use of health care resources: a comparison of OECD countries. Health Policy 2004; 69: 55–72. [4] Aletras V, Kontodimopoulos N, Zagouldoudis A, Niakas D. The short-term effect on technical and scale efficiency of establishing regional health systems and general management in Greek NHS hospitals. Health Policy 2007; 83: 236–45. [5] Kontodimopoulos N, Nanos P, Niakasmeasures D. Balancing efficiency of health services and equity of access in remote areas in Greece. Health Policy 2006;76 (1): 49-57. [6] Linna M, Hakkinen U, Magnussen J. Comparing hospital cost efficiency between Norway and Finland. Health Policy 2006; 77: 268–78. [7] Halkos G.E, Tzeremes NG. A conditional nonparametric analysis for measuring the efficiency of regional public healthcare delivery: An application to Greek prefectures. Health Policy 2010; In press doi:10.1016/j.healthpol.2010.10.021 . [8] Magnussen J, Nykan K. Measuring efficiency in clinical departments. Health Policy 2008; 87: 1-7. [9 ] Staat M. Efficiency of hospitals in Germany: a DEA-bootstrap approach. Applied Economics 2006; 38 (19): 2255-63. [10] Barbetta G.P, Turati G, Zago A.M. Behavioral differences between public and private not-for-profit hospitals in the Italian national health service. Health Economics 2007; 16: 75-96. [11] Daidone S, D’Amico F. Techincal efficiency, specialization and ownership form: evidences from a pooling of Italian hospitals. Journal of productivity Analysis 2009; 32: 203-16. [12] Tediosi F, Gabriele S, Longo F. Governing decentralization in health care under tough budget constraint: What can we learn from the Italian experience?. Health Policy 2009; 90: 303–12. [13] Ferrario C, Zanardi A. Fiscal decentralization in the Italian NHS: What happens to interregional redistribution?. Health Policy 2010, doi:10.1016/j.healthpol.2010.08.016. [14] Gitto S. The measurement of productivity and efficiency: theory and applications. Ph.D. Thesis. Dipartimento di Ingegneria dell’Impresa, Università degli Studi di Roma “Tor Vergata”, 2008. Available at http://hdl.handle.net/2108/835. [15] Lo Scalzo A, Donatini A, Orzella L, Cicchetti A, Profili S, Maresso A. Health Care Systems in Transition: Italy. Copenhagen: WHO Regional Office for Europe on behalf of the European Observatory on Health Systems and Policies; 2009. [16] Donatini A, Rico A, D’Ambrosio M. G, Lo Scalzo A, Orzella L, Cicchetti A, et al. Health Care Systems in Transition: Italy. Copenhagen: WHO Regional Office for Europe on behalf of the European Observatory on Health Systems and Policies; 2001. [17] Fattore G, Torbica A. Inpatient reimbursement system in Italy: How tariffs relate to costs? Health Management Sci 2006; 9: 251-58. [18] Jommi C, Cantù E., Anessi-Pessina E. New funding arrangemeents in the Italian National Health Service. International Journal of Health Planning and Management 2001; 16: 347-68. [19] Mazzei L. I sistemi tariffari per le prestazioni di assistenza ospedaliera. Un esame della normativa nazionale e regionale. Centro studi Assobiomedica; 2005: Technical Report 9. [20] Jommi C. I meccanismi regionali di finanziamento delle Aziende Sanitarie. In: Anessi-Pessina E, Cantù E, editors. L’aziendalizzazione della sanità in Italia, Rapporto OASI 2000. Milano. [21] Levaggi R, Zanola R. Patients’ migration across regions: the case of Italy. Applied Economics 2004; 36:1751-57. [22] Charnes A, Cooper W.W, Rhodes E. Measuring the efficiency of decision-making units. European Journal of Operational Research 1978; 2:429-44. [23] Ferrier G.D, Rosko M, D.Valdmanis V. Analysis of uncompensated hospital care using a DEA model of output congestion. Health Care Manage Sci 2006; 9: 181–88. [24] Ancarani A, Di Mauro C, Giammanco M.D. The impact of managerial and organizational aspects on hospital wards’ efficiency: Evidence from a case study. European Journal of Operational Research 2008. [25] Simar L, Wilson PW. Statistical inference in non parametric frontier models: The state of art. Journal of Productivity Analysis 2000; 13: 49-78. [26] Simar L., Wilson PW. Sensitivity analysis of efficiency scores: how to bootstrap in non parametric frontier models. Management Science 1998; 44: 49-61. [27] Farrell M.J. The measurement of productive efficiency. Journal of Royal Statistical Society A, 1957;120: 253-81. Series A. [28] Shepard R.W. Theory of cost and production functions. Princeton: Princeton University Press; 1970. [29] Wilson PW. FEAR: A Software Package for Frontier Efficiency Analysis with R. Socio-Economic Planning Sciences 2007; 42 (4): 247-54. [30] Grosskopf S, Margaritis D, Valdaminis V. Competitive effects on teaching hospitals. European Journal of Operation Research 2004; 154: 515-25. [31] Aletras V, Kontodimopoulos N, Zagouldoudis A, Niakas D. The short-term effect on technical and scale efficiency of establishing regional health systems and general management in Greek NHS hospitals. Health Policy 2007; 83: 236–45. [32] Siciliani, L. Estimating technical efficiency in the hospital sector with panel data: A comparison of parametric and non parametric techniques. Applied Health Economics and Health Policy 2006; 5(2): 99-116. [33] Grosskopf S, Valdaminis V. Evaluating hospital performance with case-mix adjusted outputs. Medical Care 1993; 31(6): 525-32. [34] Färe, R, Grosskopf S, Norris M, Zhang Z. Productivity Growth, Technical Progress, and Efficiency Change in Industrialized Countries. American Economic Review 1994; 84: 66-83. [35] Burges J, Wilson P.W. Hospital Ownership and Technical Inefficiency. Management Science 1996; 42(1):110-23. [36] France G. Cross-border flows of Italian patients within the European Union: an international trade approach. European Journal of Public Health 1997; 7(3): 18–25. Supplement. [37] Wilson P.W, Carey K. Nonparametric analysis of returns to scale and product mix among U.S. hospitals. Journal of Applied Econometrics 2004; 19: 505–24. [38] Li Q. Nonparametric testing of closeness between two unknown distribution functions. Econometric Reviews 1996; 15: 261–74. [39] Simar L., Zelenyuk V. On Testing Equality of Distributions of Technical Efficiency Scores. Econometric Reviews 2006; 25(4) , 497-522. [40] Colombo A. The Lombardy model: Subsidiarity-informed Regional Governance. Social Policy & Administration 2008; 42 (2), 177-96. [41] Anessi-Pessina E, Cantù E, Jommy C. Phasing out Market Mechanisms in the Italian National Health Service. Public Money & Management 2004; 309-16. [42] Levaggi R, Smith PC. Decentralization in health care: lessons from public economics. In: Smith PC, Ginnelly L, Sculpher M,editors. Health policy and economics. Maidenhead: Open University Press; 2005. P. 223-47. [43] Zelenyuk V. Power of significance test of dummy variables in two stage efficiency analysis model. Applied economics Letters 2009; 16(15): 1493-95. [44] Zavras A.L., Tsakos G., Economou C. Using DEA to Evaluate Efficiency and Formulate Policy Within a Greek National Primary Health Care Network. Journal of Medical Systems 2002; 26(4): 285-92. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/68690 |
Available Versions of this Item
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A two-stage DEA model to evaluate the efficiency of the Italian health system. (deposited 13 Jun 2012 20:07)
- Healthcare reform in Italy: an analysis of efficiency based on nonparametric methods. (deposited 07 Jan 2016 07:29) [Currently Displayed]