Literature DB >> 15152973

Analysis of the expenses linked to hospital stays: how to detect outliers.

C Beguin1, L Simar.   

Abstract

When hospital financing depends on a budget which in turn depends on the pathologies being treated, it is necessary to detect hospital stays which show discrepancies between the resources they consume and the medical characteristics they present. Deterministic nonparametric frontier models are used to rank hospital stays according to their expenses taking into account the severity of the patients' conditions. As these models are very sensitive to the extreme stays, a robust frontier model, the order-m frontier is used. The too-efficient stays are highlighted and described. The mean expenses are estimated after excluding too-efficient and inefficient stays. This mean is higher than the mean estimated by using classical trimming rules.

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Year:  2004        PMID: 15152973     DOI: 10.1023/b:hcms.0000020648.12250.85

Source DB:  PubMed          Journal:  Health Care Manag Sci        ISSN: 1386-9620


  6 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.  An econometric study of costs of teaching and research in Finnish hospitals.

Authors:  M Linna; U Häkkinen; E Linnakko
Journal:  Health Econ       Date:  1998-06       Impact factor: 3.046

3.  Technical efficiency in the clinical management of critically ill patients.

Authors:  J Puig-Junoy
Journal:  Health Econ       Date:  1998-05       Impact factor: 3.046

4.  Fitting the distributions of length of stay by parametric models.

Authors:  A Marazzi; F Paccaud; C Ruffieux; C Beguin
Journal:  Med Care       Date:  1998-06       Impact factor: 2.983

5.  Case mix definition by diagnosis-related groups.

Authors:  R B Fetter; Y Shin; J L Freeman; R F Averill; J D Thompson
Journal:  Med Care       Date:  1980-02       Impact factor: 2.983

6.  Nonparametric frontier model as a tool for exploratory analysis of hospital stays.

Authors:  C Beguin
Journal:  Methods Inf Med       Date:  2001-07       Impact factor: 2.176

  6 in total
  2 in total

1.  An analysis of hospital efficiency and productivity growth using the Luenberger indicator.

Authors:  Carlos Pestana Barros; António Gomes de Menzes; Nicolas Peypoch; Bernadin Solonandrasana; José Cabral Vieira
Journal:  Health Care Manag Sci       Date:  2008-12

2.  Efficiency and productivity assessment of public hospitals in Greece during the crisis period 2009-2012.

Authors:  P Xenos; J Yfantopoulos; M Nektarios; N Polyzos; P Tinios; A Constantopoulos
Journal:  Cost Eff Resour Alloc       Date:  2017-04-26
  2 in total

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