Incorporating quality into data envelopment analysis of nursing home performance: A case study

Omega

Volumn 37, Issue 3, 2009, Pages 672-685

  Shimshak, Daniel G ^a   Lenard, Melanie L ^b   Klimberg, Ronald K ^c  

^a UNIVERSITY OF MASSACHUSETTS BOSTON   (United States)

^b Crystal Decision Systems Inc ^*  (United States)

^c SAINT JOSEPH S UNIVERSITY   (United States)

Author keywords

Benchmarking; Data envelopment analysis (DEA); Decision making; Efficiency; Nursing homes; Quality

Indexed keywords

BENCHMARKING; DATA ENVELOPMENT ANALYSIS; DECISION MAKING; HOSPITALS; NURSING; QUALITY CONTROL;

BENCHMARKING TECHNIQUES; CASE-STUDIES; DATA ENVELOPMENT ANALYSE; DATA ENVELOPMENT ANALYSIS MODELS; DECISIONS MAKINGS; NURSING HOMES; PERFORMANCE; QUALITY; QUALITY MEASURES; QUALITY OF CARE;

EFFICIENCY;

EID: 50349091550     PISSN: 03050483     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.omega.2008.05.004     Document Type: Article

References (48)

1. National Health Care Expenditures Projections: 2005-2015. U.S. Department of Health and Human Services, Centers for Medicare and Medicaid Services 〈http://www.cms.hhs.gov/NationalHealthExpendData/downloads/proj2005.pdf〉.
2. Charnes A., Cooper W.W., and Rhodes E. Measuring the efficiency of decision making units. European Journal of Operational Research 2 (1978) 429-444
3. Huan Y.L., and McLaughlin C.P. Relative efficiency in rural primary health care: an application of data envelopment analysis. Health Services Research 24 (1989) 143-158
4. Lenard M.L., Wagner J.M., Shimshak D.G., Porell F.W., and Klimberg R.K. Evaluating the performance of nursing homes using data envelopment analysis. Applications of Management Science 11 (2004) 89-105
5. Morey R.C., Fine D.J., Loree S.W., Retzlaff-Roberts D.L., and Tsubakitani S. The trade-off between hospital cost and quality of care: an exploratory empirical analysis. Medical Care 30 (1992) 677-698
6. Salinas-Jimenez J., and Smith P. Data envelopment analysis applied to quality in primary health care. Annals of Operations Research 67 (1996) 141-161
7. Wagner J.M., Shimshak D.G., and Novak M.A. Advances in physician profiling: the use of DEA. Socio-Economic Planning Sciences 37 (2003) 141-163
8. Olesen O.B., and Petersen N.C. Incorporating quality into data envelopment analysis: a stochastic dominance approach. International Journal of Production Economics 39 (1995) 117-135
9. Ray S.C., and Mukherjee K. Quantity, quality, and efficiency for a partially super-additive cost function: Connecticut public schools revisited. Journal of Productivity Analysis 10 (1998) 47-62
10. Adler N., and Berechman J. Measuring airport quality from the airlines' viewpoint: an application of data envelopment analysis. Transport Policy 8 (2001) 171-181
11. Despotis D.K. Measuring human development via data envelopment analysis: the case of Asia and the Pacific. OMEGA, International Journal of Management Science 33 (2005) 385-390
12. Kleinsorge I.K., and Karney D.F. Management of nursing homes using data envelopment analysis. Socio-Economic Planning Sciences 26 (1992) 57-71
13. Thanassoulis E., Boussofiane A., and Dyson R.G. Exploring output quality targets in the provision of perinatal care in England using data envelopment analysis. European Journal of Operational Research 80 (1995) 588-607
14. Sherman H.D., and Ladino G. Managing bank productivity using data envelopment analysis (DEA). Interfaces 25 (1995) 60-73
15. Athanassopoulos A.D., and Giokas D. The use of dea in banking institutions: evidence from the commercial bank of Greece. Interfaces 30 (2000) 81-95
16. Bala K., and Cook W.D. Performance measurement with classification information: an enhanced additive dea model. OMEGA 31 (2003) 439-450
17. Sherman H.D., and Zhu J. Benchmarking with quality-adjusted dea (q-dea) to seek lower-cost high-quality service: evidence from a U.S. bank application. Annals of Operations Research 145 (2006) 301-319
18. Soteriou A.C., and Stavrinides Y. An internal customer service quality data envelopment analysis model for bank branches. International Journal of Operations and Production Management 17 (1997) 780-789
19. Soteriou A., and Zenios S.A. Operations, quality, and profitability in the provision of banking services. Management Sciences 45 (1999) 1221-1238
20. Kamakura W.A., Mittal V., de Rosa F., and Mazzon J.A. Assessing the service-profit chain. Marketing Science 21 (2002) 294-317
21. Shimshak D.G., and Lenard M.L. A two-model approach to measuring operating and quality efficiency with dea. INFOR 45 (2008) 143-151
22. Allen R.A., Athanassopoulos A., Dyson R.G., and Thanassoulis E. Weights restrictions and value judgements in data envelopment analysis: evolution, development and future directions. Annals of Operations Research 73 (1997) 13-34
23. Thanassoulis E., Portela M.C., and Allen R. Incorporating value judgments in dea. In: Cooper W.W., Seiford L.M., and Zhu J. (Eds). Handbook on data envelopment analysis (2004), Kluwer, Boston 99-138
24. Roll Y., Cook W., and Golany B. Controlling factor weights in dea. IIE Transactions 23 (1991) 2-9
25. Thompson R.G., Singleton F.D., Thrall R.M., and Smith B.A. Comparative site evaluations for locating a high-energy physics lab in Texas. Interfaces 16 (1986) 35-49
26. Charnes A., Cooper W.W., and Huang Z.M. Polyhedral cone-ratio dea models with an illustrative application to large commercial banks. Journal of Econometrics 46 (1990) 73-91
27. Golany B. A note on including ordinal relations among multipliers in dea. Management Science 34 (1988) 1029-1033
28. Wong Y.-H.B., and Beasley J.E. Restricting weight flexibility in data envelopment analysis. Journal of the Operational Research Society 41 (1990) 829-835
29. Cook W.D., and Hababou M. Sales performance measurement in bank branches. OMEGA 29 (2001) 299-307
30. Thompson R.G., Lee E., and Thrall R.M. DEA/AR efficiency of U.S. independent oil/gas producers over time. Computers and Operations Research 19 (1992) 377-391
31. Zhu J. DEA/AR analysis of the 1988-1989 performance of the Nanjing textiles corporation. Annals of Operations Research 66 (1996) 311-335
32. Kao C., and Hung H.-T. Efficiency analysis of university departments: an empirical study. OMEGA 36 (2008) 653-664
33. Thompson R.G., Langemeier L.N., Lee C.-T., Lee E., and Thrall R.M. The role of multiplier bounds in efficiency analysis with application to Kansas farming. Journal of Econometrics 46 (1990) 93-108
34. Dyson R.G., and Thanassoulis E. Reducing weight flexibility iin data envelopment analysis. Journal of the Operational Research Society 39 (1988) 563-576
35. Beasley J.E. Comparing university departments. OMEGA, Internations Journal of Management Science 18 (1990) 171-183
36. Klimberg R.K., and Puddicombe M. A multiple objective approach to data envelopment analysis. Advances in Mathematical Programming and Financial Planning 5 (1999) 201-232
37. Klimberg R.K., Van Bennekom F.C., and Lawrence K.D. Beyond the balanced scorecard. Advances in Mathematical Programming and Financial Planning 6 (2001) 19-33
38. Nursing Home Compare, U.S. Department of Health and Human Services, Centers for Medicare & Medicaid Services 〈http://www.medicare.gov/nhcompare/home.asp〉.
39. Weissert W.G., Scanlon W.J., Wan T.T.H., and Skinner D.E. Care for the chronically ill: nursing home incentive payment expirement. Health Care Finanacing Review 5 (1983) 41-49
40. Arling G., Nordquist R.H., Brant B.A., and Capitman J.A. Nursing home case mix: patient classification by nursing resource use. Medical Care 25 (1987) 9-19
41. Fries B.E. Comparing case-mix systems for nursing home payment. Health Care Financing Review 11 (1990) 103-120
42. Munroe D.J. The influence of registered nurse staffing on the quality of nursing home care. Research in Nursing and Health 13 (1990) 263-270
43. Cherry R.L. Agents of nursing home quality of care: ombudsmen and staff ratios revisited. The Gerontologist 31 (1991) 302-308
44. Spector W.D., and Takada H.A. Characteristics of nursing homes that affect resident outcomes. Journal of Aging and Health 3 (1991) 427-454
45. Rudman D., Slater E.J., Richardson T.J., and Mattson D.E. The occurrence of pressure ulcers in three nursing homes. Journal of General Internal Medicine 8 (1993) 653-658
46. Zinn J.S. The influence of nurse wage differentials on nursing home staffing and resident care decisions. The Gerontologist 33 (1993) 721-729
47. Cohen J.W., and Spector W.D. The effect of Medicaid reimbursement on quality of care in nursing homes. Journal of Health Economics 15 (1996) 23-48
48. Nusing home expenditures and quality. Report of the United States General Accounting Office, GAO-02-431R: Washington, DC; 2002.