International comparisons of the technical efficiency of the hospital sector: panel data analysis of OECD countries using parametric and non-parametric approaches.

There is a growing interest in the cross-country comparisons of the performance of national health care systems. The present work provides a comparison of the technical efficiency of the hospital sector using unbalanced panel data from OECD countries over the period 2000-2009. The estimation of the technical efficiency of the hospital sector is performed using nonparametric data envelopment analysis (DEA) and parametric stochastic frontier analysis (SFA). Internal and external validity of findings is assessed by estimating the Spearman rank correlations between the results obtained in different model specifications. The panel-data analyses using two-step DEA and one-stage SFA show that countries, which have higher health care expenditure per capita, tend to have a more technically efficient hospital sector. Whether the expenditure is financed through private or public sources is not related to the technical efficiency of the hospital sector. On the other hand, the hospital sector in countries with higher income inequality and longer average hospital length of stay is less technically efficient.

[1]  O. Zaim,et al.  Estimating the efficiency of the system of healthcare financing in achieving better health , 2006 .

[2]  B. Hollingsworth,et al.  Cross-country comparisons of technical efficiency of health production: a demonstration of pitfalls , 2009 .

[3]  A. Charnes,et al.  Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis , 1984 .

[4]  Z. Or DETERMINANTS OF HEALTH OUTCOMES IN INDUSTRIALISED COUNTRIES: A POOLED, CROSS-COUNTRY, TIME-SERIES ANALYSIS , 2000 .

[5]  P. Bogetoft,et al.  Benchmarking with DEA, SFA, and R , 2011 .

[6]  A. U.S.,et al.  FORMULATION AND ESTIMATION OF STOCHASTIC FRONTIER PRODUCTION FUNCTION MODELS , 2001 .

[7]  Donna L. Retzlaff-Roberts,et al.  Technical efficiency in the use of health care resources: a comparison of OECD countries. , 2004, Health policy.

[8]  W. Meeusen,et al.  Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error , 1977 .

[9]  S. Normand,et al.  Does prospective payment reduce inpatient length of stay? , 2002, Health economics.

[10]  Andrew Street,et al.  How much confidence should we place in efficiency estimates? , 2003, Health economics.

[11]  Claude Giorno,et al.  Improving the Performance of the Public Health Care System in Greece , 2009 .

[12]  H. Gravelle,et al.  Measuring performance in primary care: econometric analysis and DEA , 2001 .

[13]  R. Jacobs,et al.  Alternative Methods to Examine Hospital Efficiency: Data Envelopment Analysis and Stochastic Frontier Analysis , 2001, Health care management science.

[14]  Miika Linna,et al.  Measuring cost efficiency in the Nordic Hospitals—a cross-sectional comparison of public hospitals in 2002 , 2010, Health care management science.

[15]  Harold O. Fried,et al.  The measurement of productive efficiency : techniques and applications , 1993 .

[16]  M. Tambour,et al.  Internal markets and health care efficiency: a multiple-output stochastic frontier analysis. , 1999, Health economics.

[17]  Miguel St. Aubyn,et al.  Non-Parametric Approaches to Education and Health Efficiency in OECD Countries , 2005 .

[18]  M. Linna,et al.  Measuring hospital cost efficiency with panel data models. , 1998, Health economics.

[19]  P. Zweifel,et al.  Measuring and comparing the (in)efficiency of German and Swiss hospitals , 2004, The European Journal of Health Economics, formerly: HEPAC.

[20]  Bruce Hollingsworth,et al.  Use of ratios in data envelopment analysis , 2003 .

[21]  David Parkin,et al.  Measuring production efficiency of acute hospitals in Scotland, 1991-94: validity issues in data envelopment analysis , 1997 .

[22]  M. Rosko,et al.  Stochastic Frontier Analysis of Hospital Inefficiency , 2008, Medical care research and review : MCRR.

[23]  P. W. Wilson,et al.  Sensitivity Analysis of Efficiency Scores: How to Bootstrap in Nonparametric Frontier Models , 1998 .

[24]  S. Kittelsen,et al.  Hospital productivity and the Norwegian ownership reform – A Nordic comparative study , 2009 .

[25]  P. Schmidt,et al.  Production Frontiers and Panel Data , 1984 .

[26]  F. Pampel,et al.  Patterns and determinants of infant mortality in developed nations, 1950–1975 , 1986, Demography.

[27]  John Ruggiero,et al.  Efficiency estimation and error decomposition in the stochastic frontier model: A Monte Carlo analysis , 1999, Eur. J. Oper. Res..

[28]  Jonas Schreyögg,et al.  EFFECTS OF OWNERSHIP ON HOSPITAL EFFICIENCY IN GERMANY. , 2009 .

[29]  B. Hollingsworth The measurement of efficiency and productivity of health care delivery. , 2008, Health economics.

[30]  Léopold Simar,et al.  Non-parametric tests of returns to scale , 2002, Eur. J. Oper. Res..

[31]  Andrew M Jones,et al.  Comparing the efficiency of national health systems: a sensitivity analysis of the WHO approach. , 2003, Applied health economics and health policy.

[32]  S. Kumbhakar Production frontiers, panel data, and time-varying technical inefficiency , 1990 .

[33]  Steven Johnson,et al.  Comparing Techniques for Measuring the Efficiency and Productivity of Australian Private Hospitals , 1998 .

[34]  R. Färe,et al.  Productivity growth in health-care delivery. , 1997, Medical care.

[35]  P. W. Wilson,et al.  TESTING RESTRICTIONS IN NONPARAMETRIC EFFICIENCY MODELS , 2001 .

[36]  D B Evans,et al.  Comparative efficiency of national health systems: cross national econometric analysis , 2001, BMJ : British Medical Journal.

[37]  P. W. Wilson,et al.  Estimation and inference in two-stage, semi-parametric models of production processes , 2007 .

[38]  Jaume Puig-Junoy,et al.  Measuring health production performance in the OECD , 1998 .

[39]  Lung-fei Lee,et al.  The measurement and sources of technical inefficiency in the Indonesian weaving industry , 1981 .

[40]  A. Herr Cost and technical efficiency of German hospitals: does ownership matter? , 2008, Health economics.

[41]  B. Hollingsworth,et al.  Efficiency measurement of health care: a review of non‐parametric methods and applications , 1999, Health care management science.

[42]  Miika Linna,et al.  Cost efficiency of university hospitals in the Nordic countries: a cross-country analysis , 2011, European Journal of Health Economics.

[43]  G. Battese,et al.  A model for technical inefficiency effects in a stochastic frontier production function for panel data , 1995 .

[44]  Annika Herr,et al.  Profit efficiency and ownership of German hospitals. , 2011, Health economics.

[45]  Rowena Jacobs,et al.  Measuring efficiency in health care , 2006 .

[46]  G. Battese,et al.  Frontier production functions, technical efficiency and panel data: With application to paddy farmers in India , 1992 .

[47]  Y A Ozcan,et al.  Ownership and Organizational Performance: A Comparison of Technical Efficiency Across Hospital Types , 1992, Medical care.

[48]  Jstor Journal of the Royal Statistical Society. Series A (General) , 1987 .

[49]  Vasanthakumar N. Bhat,et al.  Institutional arrangements and efficiency of health care delivery systems , 2005, The European Journal of Health Economics.

[50]  Miika Linna,et al.  Comparing hospital cost efficiency between Norway and Finland. , 2006, Health policy.

[51]  Rolf Färe,et al.  Measuring the technical efficiency of production , 1978 .

[52]  Yasar A. Ozcan,et al.  Health Care Benchmarking and Performance Evaluation: An Assessment Using Data Envelopment Analysis (DEA) , 2007 .

[53]  Pinar Keskinocak,et al.  Improving patient flow in an obstetric unit , 2011, Health Care Management Science.

[54]  W. Bradford,et al.  Relative inefficiencies in production between solo and group practice physicians. , 1997, Health economics.

[55]  D. Deprins,et al.  On Farrell Measures of Technical Efficiency , 1983, Recherches économiques de Louvain.

[56]  C. Alexander,et al.  Implementing and interpreting a data envelopment analysis model to assess the efficiency of health systems in developing countries , 2003 .

[57]  Bruce Hollingsworth,et al.  The efficiency of health production: re-estimating the WHO panel data using parametric and non-parametric approaches to provide additional information. , 2003, Health economics.

[58]  G. Battese,et al.  Prediction of firm-level technical efficiencies with a generalized frontier production function and panel data , 1988 .

[59]  Leâ Opold Simar,et al.  A general methodology for bootstrapping in non-parametric frontier models , 2000 .

[60]  Subal C. Kumbhakar,et al.  Production Frontiers and Panel Data: An Application to U.S. Class 1 Railroads , 1987 .

[61]  Irene Wennemo Infant mortality, public policy and inequality: a comparison of 18 industrialised countries 1950-85 , 1993 .

[62]  Jonas Schreyögg,et al.  Changes in hospital efficiency after privatization , 2012, Health care management science.

[63]  Hervé Leleu,et al.  Comparing French and US hospital technologies: a directional input distance function approach , 2004 .

[64]  Abraham Charnes,et al.  Measuring the efficiency of decision making units , 1978 .

[65]  I. Kawachi,et al.  Social capital, income inequality, and mortality. , 1997, American journal of public health.

[66]  M. Farrell The Measurement of Productive Efficiency , 1957 .

[67]  Lee R. Mobley,et al.  An international comparison of hospital efficiency: does institutional environment matter? , 1998 .

[68]  Vivian Valdmanis,et al.  Sensitivity analysis for DEA models: An empirical example using public vs. NFP hospitals , 1992 .

[69]  A. Sear,et al.  Measuring hospital efficiency: a comparison of two approaches. , 2000, Health services research.