Literature DB >> 3081772

Severity of illness within DRGs. Homogeneity study.

S D Horn, R A Horn, P D Sharkey, A F Chambers.   

Abstract

The authors assess the ability of the Severity of Illness Index to explain variability of resource use within each DRG. The data came from 15 hospitals, all of which had a HCFA DRG case mix index greater than 1. The data set comprised approximately 106,000 discharges, for which discharge abstract data, financial data, and Severity of Illness data were available. To pool the data over the 15 hospitals, the authors converted all charges to costs and normalized them to fiscal year 1983. Adjustments were also made for medical education and wage levels. The Severity of Illness Index explained more than 10% of the variability in resource use in 94% of the DRGs, which contained 97% of the patients, and more than 50% of the variability in resource use in 36% of the DRGs, which contained 24% of the patients. For the whole data set, DRGs explained 28% of the variability in resource use, and severity-adjusted DRGs explained 61% of the variability in resource use. Thus the Severity of Illness Index explained a large amount of the variability in resource use within individual DRGs as well as in the whole data set. This explanatory power remained when outliers were removed. These results go beyond previous studies that were based on six disease conditions and/or were analyzed only within individual hospitals. The findings indicate that the phenomenon of severity of illness differences within DRGs, and the corresponding differences in resource use, is consistent across 15 hospitals that represent all sections of the United States and all teaching types.

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Year:  1986        PMID: 3081772     DOI: 10.1097/00005650-198603000-00005

Source DB:  PubMed          Journal:  Med Care        ISSN: 0025-7079            Impact factor:   2.983


  14 in total

1.  Hospital and community characteristics in closures of urban hospitals, 1980-87.

Authors:  D G Whiteis
Journal:  Public Health Rep       Date:  1992 Jul-Aug       Impact factor: 2.792

2.  The Computerized Severity Index. A new tool for case-mix management.

Authors:  S D Horn; R A Horn
Journal:  J Med Syst       Date:  1986-02       Impact factor: 4.460

Review 3.  Measurement of severity of illness and the Medicare prospective payment system: state of the art and future directions.

Authors:  L F McMahon; J E Billi
Journal:  J Gen Intern Med       Date:  1988 Sep-Oct       Impact factor: 5.128

4.  Improving the homogeneity of diagnosis-related groups (DRGs) by using clinical laboratory, demographic, and discharge data.

Authors:  E S Goldman; M J Easterling; L B Sheiner
Journal:  Am J Public Health       Date:  1989-04       Impact factor: 9.308

5.  Relationship between severity, costs and claims of hospitalized patients using the Severity of Illness Index.

Authors:  M A Asenjo; L Baré; J M Bayas; A Prat; R Lledó; J Grau; L Salleras
Journal:  Eur J Epidemiol       Date:  1994-10       Impact factor: 8.082

6.  The financial effect of physician practice style on hospital resource use.

Authors:  J Feinglass; G J Martin; A Sen
Journal:  Health Serv Res       Date:  1991-06       Impact factor: 3.402

7.  Could distance be a proxy for severity-of-illness? A comparison of hospital costs in distant and local patients.

Authors:  H G Welch; E B Larson; W P Welch
Journal:  Health Serv Res       Date:  1993-10       Impact factor: 3.402

8.  A study of the relationship between severity of illness and hospital cost in New Jersey hospitals.

Authors:  R F Averill; T E McGuire; B E Manning; D A Fowler; S D Horn; P S Dickson; M J Coye; D L Knowlton; J A Bender
Journal:  Health Serv Res       Date:  1992-12       Impact factor: 3.402

9.  DRGs and severity of illness measures: an analysis of patient classification systems.

Authors:  M D Rosko
Journal:  J Med Syst       Date:  1988-08       Impact factor: 4.460

10.  The effect of resident involvement on community hospital charges.

Authors:  P M Dunn; D F Parker; W Levinson; J P Mullooly
Journal:  J Gen Intern Med       Date:  1989 Mar-Apr       Impact factor: 5.128

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