Literature DB >> 6229481

Measuring severity of illness to predict patient resource use within DRGs.

S D Horn, P D Sharkey.   

Abstract

We describe a new Severity of Illness Index which predicts patient resource use within DRGs and within broad diagnostic categories. Resource use is defined by total charges, length of stay, laboratory charges, radiology charges, and routine charges. Within broad diagnostic categories, the Index explains much more variation in resource utilization than do other case mix grouping methods such as DRGs, generalized patient management paths, and staging groups. Within DRGs, the Index also predicts much of the variation in resource use. We discuss use of the Index to price cases and predict resource use in a hospital.

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Year:  1983        PMID: 6229481

Source DB:  PubMed          Journal:  Inquiry        ISSN: 0046-9580            Impact factor:   1.730


  12 in total

1.  Assessing the effects of the Medicare Prospective Payment System on the demand for VA inpatient services: an examination of transfers and discharges of problem patients.

Authors:  J Hurley; D Linz; E Swint
Journal:  Health Serv Res       Date:  1990-04       Impact factor: 3.402

2.  Predicting charges for inpatient medical rehabilitation using severity, DRG, age, and function.

Authors:  G E McGinnis; J S Osberg; G DeJong; M L Seward; L G Branch
Journal:  Am J Public Health       Date:  1987-07       Impact factor: 9.308

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.  Ambulatory care classification systems.

Authors:  D H Stimson; G Charles; C L Rogerson
Journal:  Health Serv Res       Date:  1986-02       Impact factor: 3.402

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.  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

7.  Characteristics of psychiatric discharges from nonfederal, short-term specialty hospitals and general hospitals with and without psychiatric and chemical dependency units: the Hospital Discharge Survey data.

Authors:  C A Kiesler; A E Sibulkin; T L Morton; C G Simpkins
Journal:  Health Serv Res       Date:  1991-02       Impact factor: 3.402

8.  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

9.  A case mix simulation decision support system model for negotiating hospital rates.

Authors:  M E Hatcher; C Connelly
Journal:  J Med Syst       Date:  1988-12       Impact factor: 4.460

10.  Medicare inpatient physician charges: an econometric analysis.

Authors:  M E Miller; W P Welch
Journal:  Health Care Financ Rev       Date:  1993
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