Skip to main content

Health-Care Applications: From Hospitals to Physicians, from Productive Efficiency to Quality Frontiers

  • Chapter
  • First Online:
Handbook on Data Envelopment Analysis

Abstract

This chapter focuses on health-care applications of DEA. The paper begins with a brief history of health applications and discusses some of the models and the motivation behind the applications. Using DEA to develop quality frontiers in health services is offered as a new and promising direction. The paper concludes with an eight-step application procedure and list of do’s and don’ts when applying DEA to health services.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 119.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 159.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 199.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    The next section draws heavily on Chilingerian and Sherman (1995), Rosko (1990) and Charnes, Cooper and Rhodes (1978).

  2. 2.

    Practice style, as it used here, refers to the treatment patterns defined by the specific mix of resource inputs used by a physician (or group of physicians) to care for a given mix of patients.

  3. 3.

    Although the two-input single output problem can be solved graphically, multi-input multi-output problems require a mathematical formulation that can only be solved by using a linear programming model.

  4. 4.

    In economics, holding constant all other inputs, the marginal product of an input is the addition to total output resulting from using the last unit of input. The ratio of the marginal products is the marginal rate of technical substitution, defined as −dx 2/dx 1.

References

  • Anderson GF, Reinhardt UE, Hussey PS, Petrosyan V. It’s the prices, stupid: why the United States is so different from other countries. Health Aff. 2003;22(3):89–105.

    Article  Google Scholar 

  • Banker RD. Estimating most productive scale size using data envelopment analysis. Eur J Oper Res. 1984;17:35–44.

    Article  Google Scholar 

  • Banker RD, Conrad R, Strauss R. A comparative application of data envelopment analysis and translog methods: an illustrative study of hospital production. Manage Sci. 1986;32(1):30–44.

    Article  Google Scholar 

  • Banker R, Charnes A, Cooper WW. Some models for estimating technical and scale inefficiencies in data envelopment analysis. Manage Sci. 1984;30:1078–92.

    Article  Google Scholar 

  • Banker RD, Morey RC. Efficiency analysis for exogenously fixed inputs and outputs. Oper Res. 1986a;34(4):513–21.

    Article  Google Scholar 

  • Banker RD, Morey RC. The use of categorical variables in data envelopment analysis. Manage Sci. 1986b;32(12):1613–27.

    Article  Google Scholar 

  • Bristol Royal Infirmary Inquiry Final Report, The Report of the public inquiry into the children’s heart surgery at the Bristol Royal Infirmary, Learning from Bristol. Presented to Parliament by the Secretary of State for Health by command of her Majesty; 2002; London, England: Crown.

    Google Scholar 

  • Bryce CL, Engberg JB, Wholey DR. Comparing the agreement among alternative models in evaluating HMO efficiency. Health Serv Res. 2000;35:509–28.

    Google Scholar 

  • Burgess JF, Wilson PW. Hospital ownership and technical efficiency. Manage Sci. 1996;42(1):110–23.

    Article  Google Scholar 

  • Burgess J, James F, Wilson PW. Variation in inefficiency among U.S. hospitals. INFOR. 1998;36:84–102.

    Google Scholar 

  • Burns LR, Chilingerian JA, Wholey DR. The effect of physician practice organization on efficient utilization of hospital resources. Health Serv Res. 1994;29(5):583–603.

    Google Scholar 

  • Caves RE. Industrial efficiency in six nations. Cambridge: MIT Press; 1992.

    Google Scholar 

  • Charnes A, Cooper WW, Henderson A. An introduction to linear programming. New York: Wiley; 1953.

    Google Scholar 

  • Charnes A, Cooper WW, Rhodes E. Measuring the efficiency of decision-making units. Eur J Oper Res. 1978;3:429–44.

    Article  Google Scholar 

  • Charnes A, Cooper WW, Thrall R. A structure for classifying and characterizing efficiencies in data envelopment analysis. J Prod Anal. 1991;2:197–237.

    Article  Google Scholar 

  • Charnes A, Cooper WW, Lewin AY, Seiford LM. Basic DEA models, data envelopment analysis: theory, methodology, and application. Boston: Kluwer Academic Publishers; 1994.

    Google Scholar 

  • Charnes A, Cooper WW, Sun DB, Huang ZM. Polyhedral cone-ratio DEA models with an illustrative application to large commercial banks. J Econom. 1990;46:73–91.

    Article  Google Scholar 

  • Chilingerian JA. Investigating non-medical factors associated with the technical efficiency of physicians in the provision of hospital services: a pilot study. Best Paper Proceedings, Annual Meeting of the Academy of Management; 1989; Washington, D.C

    Google Scholar 

  • Chilingerian JA. Evaluating physician efficiency in hospitals: a multivariate analysis of best practices. Eur J Oper Res. 1995;80:548–74.

    Article  Google Scholar 

  • Chilingerian JA, Glavin M. Temporary firms in community hospitals: elements of a managerial theory of clinical efficiency. Med Care Res Rev. 1994;51(3):289–335.

    Article  Google Scholar 

  • Chilingerian JA, Sherman HD. Managing physician efficiency and effectiveness in providing hospital services. Health Serv Manage Res. 1990;3(1):3–15.

    Google Scholar 

  • Chilingerian JA, David Sherman H. Benchmarking physician practice patterns with DEA: a multi-stage approach for cost containment. Ann Oper Res. 1996;67:83–116.

    Article  Google Scholar 

  • Chilingerian JA, David Sherman H. DEA and primary care physician report cards: deriving preferred practice cones from managed care service concepts and operating strategies. Ann Oper Res. 1997;73:35–66.

    Article  Google Scholar 

  • Chilingerian JA. Evaluating quality outcomes against best practice: a new frontier. The quality imperative: measurement and management of quality. London: Imperial College Press; 2000.

    Google Scholar 

  • Chilingerian JA, Glavin M, Bhalotra S. Using DEA to profile cardiac surgeon efficiency. Draft of Technical Report to AHRQ; 2002; Heller School, Brandeis University.

    Google Scholar 

  • Cooper WW, Park KS, Pastor JT. Marginal rates and elasticities of substitution with additive models in DEA. J Prod Anal. 2000a;13:105–23.

    Article  Google Scholar 

  • Cooper WW, Seiford LM, Tone K. Data envelopment analysis: a comprehensive text with models, applications, references and DEA-solver software. Boston: Kluwer Academic Publishers; 2000b.

    Google Scholar 

  • Fair R. A theory of extramarital affairs. J Polit Econ. 1978;86:45–61.

    Article  Google Scholar 

  • Fare R, Grosskopf S, Lindgren B, Roos P. Productivity developments in Swedish pharmacies: a malmquist output index approach, data envelopment analysis: theory, methodology, and applications. Boston: Kluwer Academic Publishers; 1994.

    Google Scholar 

  • Farrell MJ. The measurement of productive efficiency. J R Stat Soc Ser A. 1957;120:253–81.

    Article  Google Scholar 

  • Ferrier GD, Valdanis V. Rural hospital performance and its correlates. J Prod Anal. 1996;7:63–80.

    Article  Google Scholar 

  • Fetter RB, Freeman J. Diagnostic related groups: product line management with in hospitals. Acad Manage Rev. 1986;11(1):41–54.

    Google Scholar 

  • Finkler MD, Wirtschafter DD. Cost-effectiveness and data envelopment analysis. Health Care Manage Rev. 1993;18(3):81–9.

    Google Scholar 

  • Fizel JL, Nunnikhoven TS. Technical efficiency of nursing home chains. Appl Econ. 1993;25:49–55.

    Article  Google Scholar 

  • Fries BE. Comparing case-mix systems for nursing home payment. Health Care Financ Rev. 1990;11:103–14.

    Google Scholar 

  • Georgopoulos BS. Organizational problem solving effectiveness: a comparative study of hospital emergency services. San Francisco: Jossey-Bass Publishers; 1986.

    Google Scholar 

  • Golany B, Roll Y. An application procedure for DEA. Omega. 1989;17(3):237–50.

    Article  Google Scholar 

  • Greene WH. Econometric analysis. 2nd ed. New York: Macmillan Publishing Company; 1983.

    Google Scholar 

  • Harris JE. The internal organization of hospitals: some economic implications. Bell J Econ. 1977;8:467–82.

    Article  Google Scholar 

  • Harris JE. Regulation and internal control in hospitals. Bull N Y Acad Med. 1979;55(1):88–103.

    Google Scholar 

  • Hao S, Pegels CC. Evaluating relative efficiencies of veteran’s affairs medical centers using data envelopment, ratio, and multiple regression analysis. J Med Syst. 1994;18:55–67.

    Article  Google Scholar 

  • Hollingsworth B, Dawson PJ, Maniadakis N. Efficiency measurement of health care: a review of non-parametric methods and applications. Health Care Manage Sci. 1999;2(3):161–72.

    Article  Google Scholar 

  • Kerr C, Glass JC, McCallion GM, McKillop DG. Best-practice measures of resource utilization for hospitals: a useful complement in performance assessment. Public Adm. 1999;77(3):639–50.

    Article  Google Scholar 

  • Kooreman P. Nursing home care in The Netherlands: a non[parametric efficiency analysis. J Health Econ. 1994;13:301–16.

    Article  Google Scholar 

  • Lapetina EM, Armstrong EM. Preventing errors in the outpatient setting. Health Aff. 2002;21(4):26–39.

    Article  Google Scholar 

  • Leibenstein H, Maital S. Empirical estimation and partitioning of x-inefficiency: a data envelopment approach. Am J Econ. 1992;82(2):428–33.

    Google Scholar 

  • Lewin AY, Minton JW. Determining organizational effectiveness: another look and an agenda for research. Manage Sci. 1986;32(5):514–38.

    Article  Google Scholar 

  • Lynch J, Ozcan Y. Hospital closure: an efficiency analysis. Hosp Health Serv Adm. 1994;39(2):205–12.

    Google Scholar 

  • Luke RD, Ozcan YA. Local markets and systems: hospital consolidations in metropolitan areas. Health Serv Res. 1995;30(4):555–76.

    Google Scholar 

  • Maddala GS. Limited dependent and qualitative variables in econometrics. New York: Cambridge University Press; 1983.

    Google Scholar 

  • Morey D, Ozcan Y. Med Care. 1995;5:531–52.

    Google Scholar 

  • Newhouse JP. Frontier estimation: how useful a tool for health economics? J Health Econ. 1994;13:317–22.

    Article  Google Scholar 

  • Newhouse J. Why is there a quality chasm? Health Aff. 2002;21(4):13–25.

    Article  Google Scholar 

  • Neuman BR, Suver JD, Zelman WN. Financial management: concepts and applications for health care providers. Maryland: National Health Publishing; 1988.

    Google Scholar 

  • Nunamaker T. Measuring routine nursing service efficiency: a comparison of cost per day and data envelopment analysis models. Health Serv Res. 1983;18(2 Pt 1):183–205.

    Google Scholar 

  • Nyman JA, Bricker DL. Profit incentives and technical efficiency in the production of nursing home care. Rev Econ Stat. 1989;56:586–94.

    Article  Google Scholar 

  • Nyman JA, Bricker DL, Link D. Technical efficiency in nursing homes. Med Care. 1990;28:541–51.

    Article  Google Scholar 

  • Ozcan Y. Physician benchmarking: measuring variation in practice behavior in treatment of otitis media. Health Care Manage Sci. 1998;1:5–18.

    Article  Google Scholar 

  • Ozcan Y, Lynch J. Rural hospital closures: an inquiry into efficiency. Adv Health Econ Health Serv Res. 1992;13:205–24.

    Google Scholar 

  • Ozcan YA, Begun JW, McKinney MM. Benchmarking organ procurement organizations: a national study. Health Serv Res. 1999;34:855.

    Google Scholar 

  • Ozcan YA, Luke RD. A national study of the efficiency of hospitals in urban markets. Health Serv Res. 1992;27:719–39.

    Google Scholar 

  • Ozgen H, Ozcan YA. A national study of efficiency for dialysis centers: an examination of market competition and facility characteristics for production of multiple dialysis outputs. Health Serv Res. 2002;37:711–22.

    Article  Google Scholar 

  • Perez ED. Regional variations in VAMC’s operating efficiency. J Med Syst. 1992;16(5):207–13.

    Article  Google Scholar 

  • Puig-Junoy J. Technical efficiency in the clinical management of critically ill patients. Health Econ. 1998;7:263–77.

    Article  Google Scholar 

  • Rosko MD. Measuring technical efficiency in health care organizations. J Med Syst. 1990;14(5):307–22.

    Article  Google Scholar 

  • Rosko MD, Chilingerian JA, Zinn JS, Aaronson WE. The effects of ownership, operating environment, and strategic choices on nursing home efficiency. Med Care. 1995;33(10):1001–21.

    Article  Google Scholar 

  • Scott RW. Measuring outputs in hospitals, measuring and interpreting productivity. Nat Res Counc. 1979;255–75.

    Google Scholar 

  • Seiford L. Data envelopment analysis: the satt6e of the art. J Prod Anal. 1996;7(2/3):99–138.

    Article  Google Scholar 

  • Sexton T, Leiken A, Nolan A, Liss S, Hogan A, Silkman R. Evaluating managerial efficiency of veterans administration medical centers using data envelopment analysis. Med Care. 1989;27(12):1175–88.

    Article  Google Scholar 

  • Sherman HD. Hospital efficiency measurement and evaluation. Med Care. 1984;22(10):922–8.

    Article  Google Scholar 

  • Shortell S, Kaluzny A. Health care management. 4th ed. New York: Delmar Publishers Inc.; 2000.

    Google Scholar 

  • Teboul J. Le temps des services: une nouvelle approche de management. Paris: Editions d’Organisation; 2002.

    Google Scholar 

  • Witte A. Estimating an economic model of crime with individual data. Q J Econ. 1980;94:57–84.

    Article  Google Scholar 

  • Zhu J. Further discussion on linear production functions and DEA. Eur J Oper Res. 2000;127:611–8.

    Article  Google Scholar 

  • Zuckerman S, Hadley J, Iezzoni L. Measuring hospital efficiency with frontier cost functions. J Health Econ. 1994;13:255–80.

    Article  Google Scholar 

Download references

Acknowledgments

We are very grateful to Dianne Chilingerian and W.W. Cooper for their encouragement and thoughtful comments. Part of the material for this chapter was adapted from Chilingerian, J. A., 1995, Evaluating physician efficiency in hospitals: A multivariate analysis of best practices, European Journal of Operational Research 80, 548–574; Chilingerian, J.A. 2000, Evaluating quality outcomes against best practice: a new frontier. The Quality Imperative: Measurement and Management of Quality. Imperial College Press, London, England; and Chilingerian, J. A., and H. David Sherman, 1997, DEA and primary care physician report cards: Deriving preferred practice cones from managed care service concepts and operating strategies, Annals of Operations Research 73, 35–66.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to H. David Sherman .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer Science+Business Media, LLC

About this chapter

Cite this chapter

Chilingerian, J.A., Sherman, H.D. (2011). Health-Care Applications: From Hospitals to Physicians, from Productive Efficiency to Quality Frontiers. In: Cooper, W., Seiford, L., Zhu, J. (eds) Handbook on Data Envelopment Analysis. International Series in Operations Research & Management Science, vol 164. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-6151-8_16

Download citation

Publish with us

Policies and ethics