Literature DB >> 6401200

Measuring severity of illness: comparisons across institutions.

S D Horn.   

Abstract

Conventional methods for classifying patients with respect to utilization of health care resources are based almost exclusively on diagnostic criteria. We review a new severity of illness index which is generic to most medical and surgical conditions in a hospital, and which has been found to produce subgroups of patients more homogeneous with respect to hospital resource use (as assessed by total charges, length of stay, routine charges, and laboratory charges) than diagnostic-related groups, staging, and generalized patient management paths. We use the severity of illness groups to compare total charges and length of stay across hospitals. We find that charges and length of stay in an academic teaching hospital are similar to those in community hospitals with and without teaching programs when controlling for severity of illness. (Am J Public Health 1983; 73:25-31.)

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Year:  1983        PMID: 6401200      PMCID: PMC1650444          DOI: 10.2105/ajph.73.1.25

Source DB:  PubMed          Journal:  Am J Public Health        ISSN: 0090-0036            Impact factor:   9.308


  4 in total

1.  Hospital case mix groupings and generic algorithms.

Authors:  D A Bertram; D N Schumacher; S D Horn; C J Clopton; J G Lord; C Chan
Journal:  QRB Qual Rev Bull       Date:  1982-01

2.  Evaluating inpatient costs: the staging mechanism.

Authors:  M L Garg; D Z Louis; W A Gliebe; C S Spirka; J K Skipper; R R Parekh
Journal:  Med Care       Date:  1978-03       Impact factor: 2.983

3.  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

4.  The use of intensive care: a comparison of a university and community hospital.

Authors:  E A Draper; D P Wagner; W A Knaus
Journal:  Health Care Financ Rev       Date:  1981-12
  4 in total
  16 in total

1.  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 2.  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

3.  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

4.  Severity of illness within DRGs: impact on prospective payment.

Authors:  S D Horn; P D Sharkey; A F Chambers; R A Horn
Journal:  Am J Public Health       Date:  1985-10       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.  Illness severity, death, and hospital cost comparisons.

Authors:  M E Goss
Journal:  Am J Public Health       Date:  1983-10       Impact factor: 9.308

7.  Statistical validation of a severity of illness measure.

Authors:  D P Wagner; W A Knaus; E A Draper
Journal:  Am J Public Health       Date:  1983-08       Impact factor: 9.308

8.  Paying hospitals: how does a severity measure help?

Authors:  C Muller
Journal:  Am J Public Health       Date:  1983-01       Impact factor: 9.308

9.  Teaching status and resource use for patients with acute myocardial infarction: a new look at the indirect costs of graduate medical education.

Authors:  I S Udvarhelyi; T Rosborough; R P Lofgren; N Lurie; A M Epstein
Journal:  Am J Public Health       Date:  1990-09       Impact factor: 9.308

10.  Impact of prospective payment and discharge location on the outcome of hip fracture.

Authors:  M B Gerety; V Soderholm-Difatte; C H Winograd
Journal:  J Gen Intern Med       Date:  1989 Sep-Oct       Impact factor: 5.128

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