Literature DB >> 1983920

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

L I Iezzoni1, A S Ash, G Coffman, M A Moskowitz.   

Abstract

We examined the ability of MedisGroups, a severity measure based on clinical data abstracted from the medical record, to predict mortality 30 days following admission. MedisGroups measures severity both on admission and approximately one week into the hospital stay. The data base was a random sample of 20,985 admissions of Medicare beneficiaries with one of six conditions from 833 hospitals in seven states between January 1985 and May 1986. In all six conditions, higher admission and mid-stay severity scores were generally associated with higher risk of death. Across the six conditions, the R-squared values for predicting death using admission scores ranged from 0.01 to 0.16; R-squared values using mid-stay scores ranged from 0.03 to 0.34; and R-squared values from combining admission and mid-stay scores ranged from 0.05 to 0.41. Admission MedisGroups score was thus only modestly predictive of 30-day mortality. While the mid-stay score was more powerful, it may not be an appropriate severity adjuster to screen for quality using hospital mortality rates because it could be influenced by substandard care.

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Year:  1991        PMID: 1983920      PMCID: PMC1404930          DOI: 10.2105/ajph.81.1.74

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


  14 in total

1.  A clinical assessment of MedisGroups.

Authors:  L I Iezzoni; M A Moskowitz
Journal:  JAMA       Date:  1988-12-02       Impact factor: 56.272

2.  APACHE II: a severity of disease classification system.

Authors:  W A Knaus; E A Draper; D P Wagner; J E Zimmerman
Journal:  Crit Care Med       Date:  1985-10       Impact factor: 7.598

3.  Diagnosis-related groups and severity. ICD-9-CM, the real problem.

Authors:  R L Mullin
Journal:  JAMA       Date:  1985-09-06       Impact factor: 56.272

4.  ICD, POR, and DRG. Unsolved scientific problems in the nosology of clinical medicine.

Authors:  A R Feinstein
Journal:  Arch Intern Med       Date:  1988-10

Review 5.  Measuring the accuracy of diagnostic systems.

Authors:  J A Swets
Journal:  Science       Date:  1988-06-03       Impact factor: 47.728

6.  The importance of severity of illness in assessing hospital mortality.

Authors:  J Green; N Wintfeld; P Sharkey; L J Passman
Journal:  JAMA       Date:  1990-01-12       Impact factor: 56.272

7.  The meaning and use of the area under a receiver operating characteristic (ROC) curve.

Authors:  J A Hanley; B J McNeil
Journal:  Radiology       Date:  1982-04       Impact factor: 11.105

8.  Interpreting hospital mortality data. The role of clinical risk adjustment.

Authors:  S F Jencks; J Daley; D Draper; N Thomas; G Lenhart; J Walker
Journal:  JAMA       Date:  1988 Dec 23-30       Impact factor: 56.272

9.  Predicting hospital-associated mortality for Medicare patients. A method for patients with stroke, pneumonia, acute myocardial infarction, and congestive heart failure.

Authors:  J Daley; S Jencks; D Draper; G Lenhart; N Thomas; J Walker
Journal:  JAMA       Date:  1988 Dec 23-30       Impact factor: 56.272

10.  A research paradigm for severity for illness: issues for the diagnosis-related group system.

Authors:  P M Gertman; S Lowenstein
Journal:  Health Care Financ Rev       Date:  1984
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  4 in total

1.  Do severity measures explain differences in length of hospital stay? The case of hip fracture.

Authors:  M Shwartz; L I Iezzoni; A S Ash; Y D Mackiernan
Journal:  Health Serv Res       Date:  1996-10       Impact factor: 3.402

2.  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

3.  Chronic conditions and risk of in-hospital death.

Authors:  L I Iezzoni; T Heeren; S M Foley; J Daley; J Hughes; G A Coffman
Journal:  Health Serv Res       Date:  1994-10       Impact factor: 3.402

4.  Refinement of the Medicare diagnosis-related groups to incorporate a measure of severity.

Authors:  N Edwards; D Honemann; D Burley; M Navarro
Journal:  Health Care Financ Rev       Date:  1994
  4 in total

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