Literature DB >> 3184394

A clinical assessment of MedisGroups.

L I Iezzoni1, M A Moskowitz.   

Abstract

Interest has focused recently on measuring severity of illness, both to improve the fairness of diagnosis related group-based reimbursement and to facilitate judgments about hospital quality of care. MedisGroups is a prominent, proprietary severity-measurement system, recently mandated for use by all Pennsylvania hospitals. We reviewed MedisGroups and its key clinical findings. MedisGroups produces admission scores, from 0 through 4, indicating increasing risk of imminent organ failure. Score computation is independent of diagnosis, but many key clinical findings are disease specific and require particular diagnostic technologies. Using a database including patients 65 years of age and older from 24 hospitals, we found that fewer than 1% of patients with scores of 0 or 1 died in-hospital, compared with 60% of those with scores of 4. Questions remain about the impact of the procedural nature of many key clinical findings and the independence from diagnosis. Further study is needed to determine the utility of MedisGroups for policy purposes.

Entities:  

Mesh:

Year:  1988        PMID: 3184394     DOI: 10.1001/jama.260.21.3159

Source DB:  PubMed          Journal:  JAMA        ISSN: 0098-7484            Impact factor:   56.272


  28 in total

1.  The use of physician domain knowledge to improve the learning of rule-based models for decision-support.

Authors:  R Ambrosino; B G Buchanan
Journal:  Proc AMIA Symp       Date:  1999

2.  Development and validation of a disease-specific risk adjustment system using automated clinical data.

Authors:  Ying P Tabak; Xiaowu Sun; Karen G Derby; Stephen G Kurtz; Richard S Johannes
Journal:  Health Serv Res       Date:  2010-12       Impact factor: 3.402

3.  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

4.  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

5.  The effect of multidisciplinary care teams on intensive care unit mortality.

Authors:  Michelle M Kim; Amber E Barnato; Derek C Angus; Lee A Fleisher; Lee F Fleisher; Jeremy M Kahn
Journal:  Arch Intern Med       Date:  2010-02-22

6.  Use of prolonged travel to improve pediatric risk-adjustment models.

Authors:  Scott A Lorch; Jeffrey H Silber; Orit Even-Shoshan; Andrea Millman
Journal:  Health Serv Res       Date:  2008-12-30       Impact factor: 3.402

7.  Interhospital variations in admission severity-adjusted hospital mortality and morbidity.

Authors:  R C Bradbury; F E Stearns; P M Steen
Journal:  Health Serv Res       Date:  1991-10       Impact factor: 3.402

8.  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

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

Review 10.  Community-acquired pneumonia.

Authors:  Mark Loeb
Journal:  BMJ Clin Evid       Date:  2008-07-17
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