Literature DB >> 3106265

Comments on HCFA hospital death rate statistical outliers. Health Care Financing Administration.

M S Blumberg.   

Abstract

In March 1986, the Health Care Financing Administration (HCFA) released ten lists of death-rate "outlier" hospitals, one for all 1984 Medicare discharges and nine for specific DRGs. Recent Medicare hospital discharge abstracts have substantially undercounted in-hospital deaths, with large variations by state. Apart from the proportion of a hospital's cases in 80 DRGs, the predictive models had no measures of case severity based on diagnosis or procedure. Having DRG 123 (all deaths from acute myocardial infarction) as an independent variable in the all-death regression model probably accounted for much of its high r2. Inclusion of an independent variable for average length of stay (ALOS) favored hospitals in higher ALOS states by higher predicted death rates. Model bias also favored lower-risk hospitals. Small numbers of predicted deaths for specific DRGs limited low-volume hospitals on these outlier lists to those with high ratios of actual to predicted deaths. On six of the nine DRG-specific outlier lists, a total 1,222 hospitals had unfavorable residuals, while only 8 were favorable. Ten recommendations are given to increase reliability of future outcome analyses.

Entities:  

Mesh:

Year:  1987        PMID: 3106265      PMCID: PMC1068986     

Source DB:  PubMed          Journal:  Health Serv Res        ISSN: 0017-9124            Impact factor:   3.402


  9 in total

Review 1.  Risk adjusting health care outcomes: a methodologic review.

Authors:  M S Blumberg
Journal:  Med Care Rev       Date:  1986

2.  Staging of disease. A case-mix measurement.

Authors:  J S Gonnella; M C Hornbrook; D Z Louis
Journal:  JAMA       Date:  1984-02-03       Impact factor: 56.272

3.  A comparative analysis of appropriateness of hospital use.

Authors:  J D Restuccia; P Gertman
Journal:  Health Aff (Millwood)       Date:  1984       Impact factor: 6.301

4.  Case mix, costs, and outcomes. Differences between faculty and community services in a university hospital.

Authors:  A M Garber; V R Fuchs; J F Silverman
Journal:  N Engl J Med       Date:  1984-05-10       Impact factor: 91.245

5.  Care of patients with colorectal cancer. A comparison of a health maintenance organization and fee-for-service practices.

Authors:  A M Francis; L Polissar; A B Lorenz
Journal:  Med Care       Date:  1984-05       Impact factor: 2.983

6.  "The high cost of dying": what do the data show?

Authors:  A A Scitovsky
Journal:  Milbank Mem Fund Q Health Soc       Date:  1984

7.  MEDISGRPS: a clinically based approach to classifying hospital patients at admission.

Authors:  A C Brewster; B G Karlin; L A Hyde; C M Jacobs; R C Bradbury; Y M Chae
Journal:  Inquiry       Date:  1985       Impact factor: 1.730

8.  Outcomes of surgery among the Medicare aged: mortality after surgery.

Authors:  J Lubitz; G Riley; M Newton
Journal:  Health Care Financ Rev       Date:  1985

9.  Reliability and validity in hospital case-mix measurement.

Authors:  J Pettengill; J Vertrees
Journal:  Health Care Financ Rev       Date:  1982-12
  9 in total
  10 in total

1.  Explaining differences in English hospital death rates using routinely collected data.

Authors:  B Jarman; S Gault; B Alves; A Hider; S Dolan; A Cook; B Hurwitz; L I Iezzoni
Journal:  BMJ       Date:  1999-06-05

2.  Routine data: a resource for clinical audit?

Authors:  M McKee
Journal:  Qual Health Care       Date:  1993-06

3.  Modeling organizational determinants of hospital mortality.

Authors:  A S al-Haider; T T Wan
Journal:  Health Serv Res       Date:  1991-08       Impact factor: 3.402

4.  Weak associations between hospital mortality rates for individual diagnoses: implications for profiling hospital quality.

Authors:  G E Rosenthal
Journal:  Am J Public Health       Date:  1997-03       Impact factor: 9.308

5.  Minimal data requirements for a continuous monitoring of the quality of care using the DRG classification.

Authors:  B Santos-Eggimann; F Paccaud
Journal:  Soz Praventivmed       Date:  1989

6.  The impact of high-risk cases on hospitals' risk-adjusted coronary artery bypass grafting mortality rankings.

Authors:  Brian R Englum; Paramita Saha-Chaudhuri; David M Shahian; Sean M O'Brien; J Matthew Brennan; Fred H Edwards; Eric D Peterson
Journal:  Ann Thorac Surg       Date:  2015-01-09       Impact factor: 4.330

7.  Relationship between patient race and survival following admission to intensive care among patients of primary care physicians.

Authors:  R D Horner; F H Lawler; B L Hainer
Journal:  Health Serv Res       Date:  1991-10       Impact factor: 3.402

8.  Continuous assessment and improvement in quality of care. A model from the Department of Veterans Affairs Cardiac Surgery.

Authors:  K E Hammermeister; R Johnson; G Marshall; F L Grover
Journal:  Ann Surg       Date:  1994-03       Impact factor: 12.969

9.  Referral selection bias in the Medicare hospital mortality prediction model: are centers of referral for Medicare beneficiaries necessarily centers of excellence?

Authors:  D J Ballard; S C Bryant; P C O'Brien; D W Smith; M B Pine; D A Cortese
Journal:  Health Serv Res       Date:  1994-02       Impact factor: 3.402

10.  Differences among hospitals in Medicare patient mortality.

Authors:  M R Chassin; R E Park; K N Lohr; J Keesey; R H Brook
Journal:  Health Serv Res       Date:  1989-04       Impact factor: 3.402

  10 in total

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