Literature DB >> 7964214

Trends in Department of Defense hospital efficiency.

Y A Ozcan1, R R Bannick.   

Abstract

This study employs a simple cross sectional design using longitudinal data to explore the underlying factors associated with differences in hospital technical efficiency using data envelopment analysis (DEA) in the Department of Defense (DOD) sector across three service components, the Army, Air Force and Navy. The results suggest that the services do not differ significantly in hospital efficiency. Nor does hospital efficiency appear to differ over time. With respect to the efficient use of input resources, the services experienced a general decline in excessive usage of various inputs over the three years. Analysis of the returns to scale captures opportunities for planners of changing the relative mix of output to input slacks for increasing a hospital's efficiency. That is, policy makers would get more immediate "bang per buck" with emphasis on improving the efficiencies of hospitals with higher returns to scale than other hospitals. Findings also suggest a significant degree of comparability between the DEA measure and these measures often used to indicate efficiency.

Mesh:

Year:  1994        PMID: 7964214     DOI: 10.1007/BF00999453

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


  24 in total

1.  The CHAMPUS reform initiative: tailoring private-sector innovations to public-sector needs.

Authors:  S B Clauser; B S Cooper
Journal:  Adv Health Econ Health Serv Res       Date:  1988

2.  Ownership and organizational performance. A comparison of technical efficiency across hospital types.

Authors:  Y A Ozcan; R D Luke; C Haksever
Journal:  Med Care       Date:  1992-09       Impact factor: 2.983

Review 3.  Restructuring military health care: the winds of change blow stronger.

Authors:  J O Lanier; C Boone
Journal:  Hosp Health Serv Adm       Date:  1993

4.  An application of data envelopment analysis: measuring the relative performance of Florida general hospitals.

Authors:  Y G Huang
Journal:  J Med Syst       Date:  1990-08       Impact factor: 4.460

Review 5.  Measuring technical efficiency in health care organizations.

Authors:  M D Rosko
Journal:  J Med Syst       Date:  1990-10       Impact factor: 4.460

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

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

7.  Contract management and institutional cost control.

Authors:  P C Nutt; R G Milter
Journal:  Hosp Health Serv Adm       Date:  1992

8.  Competition's impact: a report from the front.

Authors:  J C Goldsmith
Journal:  Health Aff (Millwood)       Date:  1988       Impact factor: 6.301

9.  Satisfaction and dissatisfaction in institutional practice: results from a survey of U.S. military physicians.

Authors:  R Kravitz; N Thomas; E Sloss; S Hosek
Journal:  Mil Med       Date:  1993-01       Impact factor: 1.437

10.  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

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  10 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.  Trends in hospital efficiency among metropolitan markets.

Authors:  B B Wang; Y A Ozcan; T T Wan; J Harrison
Journal:  J Med Syst       Date:  1999-04       Impact factor: 4.460

Review 3.  Efficiency measurement of health care: a review of non-parametric methods and applications.

Authors:  B Hollingsworth; P J Dawson; N Maniadakis
Journal:  Health Care Manag Sci       Date:  1999-07

Review 4.  Non-parametric and parametric applications measuring efficiency in health care.

Authors:  Bruce Hollingsworth
Journal:  Health Care Manag Sci       Date:  2003-11

5.  Using data envelopment analysis to measure the technical efficiency of public health centers in Kenya.

Authors:  Joses M Kirigia; Ali Emrouznejad; Luis G Sambo; Nzoya Munguti; Wilson Liambila
Journal:  J Med Syst       Date:  2004-04       Impact factor: 4.460

6.  Stochastic multi-objective auto-optimization for resource allocation decision-making in fixed-input health systems.

Authors:  Nathaniel D Bastian; Tahir Ekin; Hyojung Kang; Paul M Griffin; Lawrence V Fulton; Benjamin C Grannan
Journal:  Health Care Manag Sci       Date:  2016-01-07

7.  Efficiency of federal hospitals in the United States.

Authors:  Jeffrey P Harrison; M Nicholas Coppola; Mark Wakefield
Journal:  J Med Syst       Date:  2004-10       Impact factor: 4.460

8.  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

9.  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

10.  Technical efficiencies of Turkish hospitals: DEA approach.

Authors:  K Ersoy; S Kavuncubasi; Y A Ozcan; J M Harris
Journal:  J Med Syst       Date:  1997-04       Impact factor: 4.460

  10 in total

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