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Small Area Variation Analysis

Methods for Comparing Several Diagnosis-Related Groups

Datos Bibliográficos

ID9102093
AutoresPaula Diehr (University of Washington, autor de correspondencia), Kevin C Cain (0000-0002-5665-6952, University of Washington, autor de correspondencia), Kevin Cain, Zhan Ye (0000-0002-0426-0382, University of Washington), FAYEZ ABDUL-SALAM (University of Washington, autor de correspondencia)
Año1993
Volumen31
Númerosupplement
PáginasYS45-YS53
Fecha de publicación1993-05-01
Peer ReviewedSí
Open AccessNo
TipoARTICLE
RevistaMedical Care (JOURNAL)
Identificadores de la revistaISSN: 0025-7079 • E-ISSN: 1537-1948
EditorialOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/00005650-199305001-00007
PMID8492585
OpenAlexW2036921376
IdiomaEN
Citas recibidas4
Referencias citadas4

In small-area variation analysis, the variation of health care utilization rates, e.g., admission rates, among small areas is calculated. Frequently, the variation of one diagnosis, diagnosis-related group (DRG), or procedure is compared with the variation of another. Unfortunately, the methods generally used to make these comparisons are not consistent. They differ on whether they 1) adjust for the prevalence of the DRGs, 2) distinguish between variation among areas and variation within areas, 3) weight all areas equally, and 4) adjust for multiple admissions per person. None has an associated confidence interval. These discrepancies occur in part because there is no statistical model of small area variation. Without such a model, it is not known how to measure variation, and thus, it is not known how to compare different DRGs. Here, the authors use data on 473 DRGs from 28 counties in Washington state to study the nature of variability. The variation was higher for the more prevalent DRGs, suggesting that adjusting for prevalence may be reasonable. The true coefficient of variation appears to be a "natural" measure of variation, but the usual small area variation statistics do not provide good estimates of the true coefficient of variation. A new estimate is proposed that can be used to compare and test the variability of several DRGs

Coefficient of variation · Confidence interval · Regional variation · Statistics · Variation (astronomy) · Emergency and Acute Care Studies · Healthcare Policy and Management · Mathematics · Medicine · Primary Care and Health Outcomes

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Obras citantes distintas4
Citas por año0,14
Intervalo de citas1997 - 2017 (21)
Velocidad de citaciónhistorical
Altamente citadoNo
Tipos de citaNeutras: 2
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