Literature DB >> 2094754

Measuring technical efficiency in health care organizations.

M D Rosko1.   

Abstract

The rising cost of health care has created great interest in developing methods to increase the efficiency of health care organizations. Despite this interest most analyses of prospective payment and other programs designed to control expenditures have examined costs and not efficiency. This article examines a new technique--data envelopment analysis (DEA)--that facilitates the conduct of efficiency studies. The utility of DEA is analyzed by comparing this technique with other methods used to measure efficiency, by discussing the application of DEA in the health care industry and by assessing the validity of results from DEA studies. The article concludes with an assessment of the strengths and weaknesses of DEA and suggestions for refining this technique.

Mesh:

Year:  1990        PMID: 2094754     DOI: 10.1007/bf00993937

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  10 in total

1.  Measuring hospital performance. A non-parametric approach.

Authors:  S Grosskopf; V Valdmanis
Journal:  J Health Econ       Date:  1987-06       Impact factor: 3.883

2.  A comparison of hospital performance under the partial-payer Medicare PPS and state all-payer rate-setting systems.

Authors:  M D Rosko
Journal:  Inquiry       Date:  1989       Impact factor: 1.730

3.  Technical efficiency in nursing homes.

Authors:  J A Nyman; D L Bricker; D Link
Journal:  Med Care       Date:  1990-06       Impact factor: 2.983

4.  Ownership and technical efficiency of hospitals.

Authors:  V G Valdmanis
Journal:  Med Care       Date:  1990-06       Impact factor: 2.983

5.  Relative efficiency in rural primary health care: an application of data envelopment analysis.

Authors:  Y G Huang; C P McLaughlin
Journal:  Health Serv Res       Date:  1989-06       Impact factor: 3.402

6.  Hospital efficiency measurement and evaluation. Empirical test of a new technique.

Authors:  H D Sherman
Journal:  Med Care       Date:  1984-10       Impact factor: 2.983

7.  Measuring routine nursing service efficiency: a comparison of cost per patient day and data envelopment analysis models.

Authors:  T R Nunamaker
Journal:  Health Serv Res       Date:  1983       Impact factor: 3.402

8.  Managing physician efficiency and effectiveness in providing hospital services.

Authors:  J A Chilingerian; H D Sherman
Journal:  Health Serv Manage Res       Date:  1990-03

9.  Evaluating managerial efficiency of Veterans Administration medical centers using Data Envelopment Analysis.

Authors:  T R Sexton; A M Leiken; A H Nolan; S Liss; A Hogan; R H Silkman
Journal:  Med Care       Date:  1989-12       Impact factor: 2.983

10.  DRGs and severity of illness measures: an analysis of patient classification systems.

Authors:  M D Rosko
Journal:  J Med Syst       Date:  1988-08       Impact factor: 4.460

  10 in total
  18 in total

1.  Tutorial on technology transfer and survey design and data collection for measuring Internet and Intranet existence, usage, and impact (survey-2000) in acute care hospitals in the United States.

Authors:  M Hatcher
Journal:  J Med Syst       Date:  2001-02       Impact factor: 4.460

2.  Impact of internal and external environmental pressures on hospital inefficiency.

Authors:  M D Rosko
Journal:  Health Care Manag Sci       Date:  1999-05

3.  Multifactor efficiency in data envelopment analysis with an application to urban hospitals.

Authors:  L O'Neill
Journal:  Health Care Manag Sci       Date:  1998-09

4.  A simple method for calculating the financial balance of a hospital, based on proportional dividing.

Authors:  Toshio Makie; Miho Miyazaki; Shinji Kobayashi; Takeharu Yamanaka; Naoko Kinukawa; Eisuke Hanada; Yoshiaki Nose
Journal:  J Med Syst       Date:  2002-04       Impact factor: 4.460

5.  Estimating hospital inefficiency: does case mix matter?

Authors:  M D Rosko; J A Chilingerian
Journal:  J Med Syst       Date:  1999-02       Impact factor: 4.460

6.  Impact of information systems on acute care hospitals: results from a survey in the United States.

Authors:  M Hatcher
Journal:  J Med Syst       Date:  1998-12       Impact factor: 4.460

7.  Survey of acute care hospitals in the United States relative to technology usage and technology transfer.

Authors:  M Hatcher
Journal:  J Med Syst       Date:  1997-10       Impact factor: 4.460

8.  A national study of the efficiency of hospitals in urban markets.

Authors:  Y A Ozcan; R D Luke
Journal:  Health Serv Res       Date:  1993-02       Impact factor: 3.402

9.  Development of a scalar hospital-specific severity of illness measure.

Authors:  M D Rosko; C E Carpenter
Journal:  J Med Syst       Date:  1993-02       Impact factor: 4.460

10.  An examination of technical efficiency, quality, and patient safety in acute care nursing units.

Authors:  Barbara A Mark; Cheryl Bland Jones; Lisa Lindley; Yasar A Ozcan
Journal:  Policy Polit Nurs Pract       Date:  2009-12-13
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