Literature DB >> 2934332

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

A C Brewster, B G Karlin, L A Hyde, C M Jacobs, R C Bradbury, Y M Chae.   

Abstract

The Medical Illness Severity Grouping System--called MEDISGRPS--is an admission-oriented patient severity grouping system that uses objective, key clinical findings to place patients in one of five severity groupings. Data from five hospitals indicate that severity level at admission is an important predictor of resource use, is essential for analysis of patients who deteriorate and/or respond poorly to therapy, and is useful to further specify DRGs. Measures of effectiveness and efficiency using MEDISGRPS are suggested.

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Year:  1985        PMID: 2934332

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


  28 in total

1.  Using severity measures to predict the likelihood of death for pneumonia inpatients.

Authors:  L I Iezzoni; M Shwartz; A S Ash; Y D Mackiernan
Journal:  J Gen Intern Med       Date:  1996-01       Impact factor: 5.128

2.  National Cancer Institute Cancer Center designation and 30-day mortality for hospitalized, immunocompromised cancer patients.

Authors:  Christopher R Friese; Jeffrey H Silber; Linda H Aiken
Journal:  Cancer Invest       Date:  2010-08       Impact factor: 2.176

3.  Measuring outcomes of hospital care using multiple risk-adjusted indexes.

Authors:  S DesHarnais; L F McMahon; R Wroblewski
Journal:  Health Serv Res       Date:  1991-10       Impact factor: 3.402

4.  Admission and mid-stay MedisGroups scores as predictors of death within 30 days of hospital admission.

Authors:  L I Iezzoni; A S Ash; G Coffman; M A Moskowitz
Journal:  Am J Public Health       Date:  1991-01       Impact factor: 9.308

5.  Judging hospitals by severity-adjusted mortality rates: the influence of the severity-adjustment method.

Authors:  L I Iezzoni; A S Ash; M Shwartz; J Daley; J S Hughes; Y D Mackiernan
Journal:  Am J Public Health       Date:  1996-10       Impact factor: 9.308

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

Authors:  M S Blumberg
Journal:  Health Serv Res       Date:  1987-02       Impact factor: 3.402

7.  Comparison of two prospective rate-setting models: the DRG and PIR models.

Authors:  S Johansen
Journal:  Health Serv Res       Date:  1986-10       Impact factor: 3.402

8.  Adjusted hospital death rates: a potential screen for quality of medical care.

Authors:  R W Dubois; R H Brook; W H Rogers
Journal:  Am J Public Health       Date:  1987-09       Impact factor: 9.308

9.  Comparison of a disease-specific and a generic severity of illness measure for patients with community-acquired pneumonia.

Authors:  M J Fine; B H Hanusa; J R Lave; D E Singer; R A Stone; L A Weissfeld; C M Coley; T J Marrie; W N Kapoor
Journal:  J Gen Intern Med       Date:  1995-07       Impact factor: 5.128

10.  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

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