Separating Managerial Inefficiency from Influences of the Operating Environment: An Application in Dialysis

In any production unit, the ability to achieve technical efficiency is influenced by characteristics of the external operating environment. This study uses the Greek dialysis sector to employ a previously reported frontier procedure to obtain a measure of managerial inefficiency that controls for exogenous features. The sample consisted of 124 dialysis facilities. Two inputs —nursing staff and dialysis machines— and one output —dialysis sessions— were used in an input-oriented, variable-returns-to-scale DEA model. Input slacks were regressed against environmental characteristics such as ownership, location, operating years and facility size, and parameter estimates were used to adjust primary input data. New efficiency scores were generated to measure managerial inefficiency. Older, public, regional facilities were operating under unfavorable circumstances, whereas newer, private, Athens-based facilities under favorable conditions. This respectively generated lower and higher efficiency scores than would have been attained on a level “playing field”. After adjustment, scores reflected only management inefficiency and could be compared fairly. This study emphasizes the importance of efficiency comparisons, which take into account external conditions beyond the influence of management, as these have been shown to under— or overstate true management inefficiency.

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

[2]  A. Worthington,et al.  Frontier Efficiency Measurement in Health Care: A Review of Empirical Techniques and Selected Applications , 2004, Medical care research and review : MCRR.

[3]  Kaoru Tone,et al.  Data Envelopment Analysis , 1996 .

[4]  M. Pauly,et al.  Competition and efficiency in the end stage renal disease program. , 1983, Journal of health economics.

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

[6]  Nick Kontodimopoulos,et al.  An estimate of lifelong costs and QALYs in renal replacement therapy based on patients' life expectancy. , 2008, Health policy.

[7]  J. Chilingerian Evaluating physician efficiency in hospitals : a multivariate analysis of best practices , 1995 .

[8]  Yasar A Ozcan,et al.  Longitudinal Analysis of Efficiency in Multiple Output Dialysis Markets , 2004, Health care management science.

[9]  J S Zinn,et al.  The Effects of Ownership, Operating Environment, and Strategic Choices on Nursing Home Efficiency , 1995, Medical care.

[10]  Dimitrios Niakas,et al.  A 12-year Analysis of Malmquist Total Factor Productivity in Dialysis Facilities , 2006, Journal of Medical Systems.

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

[12]  H. O. Fried,et al.  Accounting for Environmental Effects and Statistical Noise in Data Envelopment Analysis , 2002 .

[13]  Nikolaos Maniadakis,et al.  Economic evaluation of hemodialysis: Implications for technology assessment in Greece , 2005, International Journal of Technology Assessment in Health Care.

[14]  Peter Smith,et al.  Model misspecification in Data Envelopment Analysis , 1997, Ann. Oper. Res..

[15]  P. Kooreman Nursing home care in The Netherlands: a nonparametric efficiency analysis. , 1994, Journal of health economics.

[16]  Harold O. Fried,et al.  Incorporating the Operating Environment Into a Nonparametric Measure of Technical Efficiency , 1999 .

[17]  Hsuan-Lien Chu,et al.  Does the Implementation of Responsibility Centers, Total Quality Management, and Physician Fee Programs Improve Hospital Efficiency?: Evidence from Taiwan Hospitals , 2002, Medical care.

[18]  William W. Cooper,et al.  SHORT COMMUNICATION: MEASURING EFFICIENCY OF DECISION MAKING UNITS , 1979 .

[19]  Georgios Tsakos,et al.  Using DEA to Evaluate Efficiency and Formulate Policy Within a Greek National Primary Health Care Network , 2002, Journal of Medical Systems.

[20]  D. Niakas,et al.  Balancing efficiency of health services and equity of access in remote areas in Greece. , 2006, Health policy.

[21]  Ayoe Hoff,et al.  Second stage DEA: Comparison of approaches for modelling the DEA score , 2007, Eur. J. Oper. Res..

[22]  John Ruggiero,et al.  Performance evaluation when non-discretionary factors correlate with technical efficiency , 2004, Eur. J. Oper. Res..

[23]  Paul Roderick,et al.  Comparison of apparent efficiency of haemodialysis satellite units in England and Wales using data envelopment analysis. , 2003, International journal of technology assessment in health care.

[24]  T A Sheldon,et al.  Equity in the allocation of health care resources. , 2000, Health economics.

[25]  Jeffrey M. Woodbridge Econometric Analysis of Cross Section and Panel Data , 2002 .

[26]  Michael D. Rosko,et al.  Impact of internal and external environmental pressures on hospital inefficiency , 1999, Health care management science.

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

[28]  Nick Kontodimopoulos,et al.  Efficiency measurement of hemodialysis units in Greece with data envelopment analysis. , 2005, Health policy.

[29]  Nick Kontodimopoulos,et al.  The effect of environmental factors on technical and scale efficiency of primary health care providers in Greece , 2007, Cost effectiveness and resource allocation : C/E.

[30]  Miika Linna,et al.  Technical and cost efficiency of oral health care provision in Finnish health centres. , 2003, Social science & medicine.

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

[32]  V. Valdmanis,et al.  East-west: does it make a difference to hospital efficiencies in Ukraine? , 2006, Health economics.

[33]  Yasar A Ozcan,et al.  A national study of efficiency for dialysis centers: an examination of market competition and facility characteristics for production of multiple dialysis outputs. , 2002, Health services research.