Literature DB >> 6418903

Staging of disease. A case-mix measurement.

J S Gonnella, M C Hornbrook, D Z Louis.   

Abstract

Measurement of illness severity is required to evaluate diagnostic efficiency of physicians, assess quality of care, understand utilization of health services, design clinical trials, and reimburse hospitals on the basis of output. "Staging" is a method for measuring severity of specific, well-defined diseases. Staging defines discrete points in the course of individual diseases that are clinically detectable, reflect severity in terms of risk of death or residual impairment, and possess clinical significance for prognosis and choice of therapeutic modality. Medical staging criteria have been developed for 420 diagnoses and converted into "coded" criteria for the major diagnostic coding systems. Coded criteria can be efficiently applied to computerized hospital discharge abstracts to derive a comprehensive case-mix classification system. Uses of staging in epidemiologic, case-mix, and utilization analyses are illustrated for diabetes mellitus.

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Year:  1984        PMID: 6418903

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


  62 in total

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Review 4.  Negotiating criteria and setting limits: the case of AIDS.

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5.  Routine data: a resource for clinical audit?

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6.  Alcoholism treatment, severity of alcohol-related medical complications, and health services utilization.

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Journal:  J Ment Health Adm       Date:  1992

7.  Risk factors for early readmission among veterans.

Authors:  J J Holloway; S V Medendorp; J Bromberg
Journal:  Health Serv Res       Date:  1990-04       Impact factor: 3.402

8.  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

9.  Measuring case mix.

Authors:  H Sanderson
Journal:  BMJ       Date:  1992-04-25

10.  Strategic responses by hospitals to increased financial risk in the 1980s.

Authors:  B Friedman; D Farley
Journal:  Health Serv Res       Date:  1995-08       Impact factor: 3.402

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