Literature DB >> 10435240

Trends in hospital efficiency among metropolitan markets.

B B Wang1, Y A Ozcan, T T Wan, J Harrison.   

Abstract

This study evaluates trends in efficiency among American hospital markets. A total of 6010 hospitals were identified for use in the analysis from the American Hospital Association's Annual Surveys for 1989 and 1993. Using data envelopment analysis (DEA), a longitudinal study of hospital efficiency was conducted on all 314 metropolitan markets in the United States. Results suggest that large hospital markets generally demonstrated higher inefficiency. The major inefficiencies exist in the availability of hospital services, the number of operating beds, the utilization of hospital staffing and operating expenses. Consequently, the large hospital market had a significant excess of health manpower that resulted in inefficiency that amounted to approximately $23 billion. From a policy perspective, this study has shed some light on the need to establish more specific policies to address inefficiency in the health care industry.

Mesh:

Year:  1999        PMID: 10435240     DOI: 10.1023/a:1020585118381

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


  20 in total

1.  Estimating hospital costs. A multiple-output analysis.

Authors:  T W Grannemann; R S Brown; M V Pauly
Journal:  J Health Econ       Date:  1986-06       Impact factor: 3.883

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

3.  Effects of teaching on hospital costs.

Authors:  F A Sloan; R D Feldman; A B Steinwald
Journal:  J Health Econ       Date:  1983-03       Impact factor: 3.883

4.  Competitive strategy for successful hospital management.

Authors:  W O Cleverley; R K Harvey
Journal:  Hosp Health Serv Adm       Date:  1992

5.  Advancing the debate on international spending comparisons.

Authors:  G J Schieber; J P Poullier
Journal:  Health Aff (Millwood)       Date:  1991       Impact factor: 6.301

6.  Competition and the cost of hospital care, 1972 to 1982.

Authors:  J C Robinson; H S Luft
Journal:  JAMA       Date:  1987-06-19       Impact factor: 56.272

7.  Cost-effectiveness and data envelopment analysis.

Authors:  M D Finkler; D D Wirtschafter
Journal:  Health Care Manage Rev       Date:  1993

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.  The development and evaluation of hospital performance measures for policy analysis.

Authors:  J L Ehreth
Journal:  Med Care       Date:  1994-06       Impact factor: 2.983

10.  Assessing the impact of continuous quality improvement/total quality management: concept versus implementation.

Authors:  S M Shortell; J L O'Brien; J M Carman; R W Foster; E F Hughes; H Boerstler; E J O'Connor
Journal:  Health Serv Res       Date:  1995-06       Impact factor: 3.402

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  5 in total

1.  Towards more optimal medical diagnosing with evolutionary algorithms.

Authors:  V Podgorelec; P Kokol
Journal:  J Med Syst       Date:  2001-06       Impact factor: 4.460

2.  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

Review 3.  Non-parametric and parametric applications measuring efficiency in health care.

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

4.  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

Review 5.  Texas hospitals with higher health information technology expenditures have higher revenue: A longitudinal data analysis using a generalized estimating equation model.

Authors:  Jinhyung Lee; Jae-Young Choi
Journal:  BMC Health Serv Res       Date:  2016-04-05       Impact factor: 2.655

  5 in total

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