Literature DB >> 12846463

Measuring the performance of neonatal care units in Scotland.

Kamal Field1, Ali Emrouznejad.   

Abstract

Policy makers continue to debate whether or not to increase the share of health care expenditures in United Kingdom. On the other hand, the pressure of operating within tight budgets and the advances in technology are forcing more locally based hospitals to close. One that could be used by policy makers as a benchmark is the measure of relative performance of hospitals. Many researchers have examined the source of inefficiency in health sectors (see, for example, Harris et al., Oper. Res. Soc. 57:801-811, 2000, Ozcan et al., Med. Case 30:781-784, 1992; Ozcan et aL., J. Med. Syst. 20(3)141-150, 1996; and Grosskopf and Valdmanis, J. Health. Econ. 6:89-107, 1987 but there is no evidence of measuring performance of neonatal care units of Scottish hospitals in the DEA literature. The purpose of this paper is to measure both technical and scale efficiency using data envelopment analysis in a selection of 22 neonatal care units in Scotland. The analysis suggests that major inefficiency likely exists in health care production in United Kingdom. There is potential for improving productivity by 20%.

Mesh:

Year:  2003        PMID: 12846463     DOI: 10.1023/a:1023749102724

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


  5 in total

1.  Alternative methods to examine hospital efficiency: data envelopment analysis and stochastic frontier analysis.

Authors:  R Jacobs
Journal:  Health Care Manag Sci       Date:  2001-06

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.  Measuring hospital performance. A non-parametric approach.

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

4.  Measuring the technical efficiency of psychiatric hospitals.

Authors:  Y A Ozcan; M J McCue; A A Okasha
Journal:  J Med Syst       Date:  1996-06       Impact factor: 4.460

5.  Measuring hospital output: a review of the service mix and case mix approaches.

Authors:  M Tatchell
Journal:  Soc Sci Med       Date:  1983       Impact factor: 4.634

  5 in total
  4 in total

1.  An efficiency data envelopment analysis model reinforced by classification and regression tree for hospital performance evaluation.

Authors:  Chun-Ling Chuang; Peng-Chan Chang; Rong-Ho Lin
Journal:  J Med Syst       Date:  2010-09-28       Impact factor: 4.460

2.  Efficiency measurement for hospitals owned by the Iranian social security organisation.

Authors:  Hossein Hajialiafzali; J R Moss; M A Mahmood
Journal:  J Med Syst       Date:  2007-06       Impact factor: 4.460

Review 3.  Assessing the relationships between hospital resources and activities: a systematic review.

Authors:  Brahim Hadji; Rodolphe Meyer; Samir Melikeche; Sylvie Escalon; Patrice Degoulet
Journal:  J Med Syst       Date:  2014-08-30       Impact factor: 4.460

4.  Output congestion leads to compromised care in Peruvian public hospital neonatal units.

Authors:  Alejandro Arrieta; Jorge Guillén
Journal:  Health Care Manag Sci       Date:  2015-10-09
  4 in total

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