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Case-Mix Groups for VA Hospital-Based Home Care

Datos Bibliográficos

ID9103095
AutoresMary E Smith (0000-0002-6203-317X, United States Department of Veterans Affairs, autor de correspondencia), Carolyn Baker (John L. McClellan Memorial Veterans Hospital, autor de correspondencia), C Rodney Baker, Laurence G Branch (United States Department of Veterans Affairs, autor de correspondencia), Robert C Walls (University of Arkansas for Medical Sciences, autor de correspondencia), Richard M Grimes (The University of Texas Health Science Center at Houston), Judith M Karklins (United States Department of Veterans Affairs, autor de correspondencia), Michael Kashner (United States Department of Veterans Affairs, autor de correspondencia), Rebecca Burrage, R H Burrage (University of Baltimore), Ann Parks (0000-0001-9779-6049, University of Baltimore), Peter Rogers (0000-0001-9420-1476, United States Department of Veterans Affairs), Paul Rogers (0000-0001-9176-4126), Ann Saczuk (Memphis Health Center), Marilyn Wagster-Weare (United States Department of Veterans Affairs)
Año1992
Volumen30
Número1
Páginas1-16
Fecha de publicación1992-01-01
Peer ReviewedSí
Open AccessNo
TipoARTICLE
RevistaMedical Care (JOURNAL)
Identificadores de la revistaISSN: 0025-7079 • E-ISSN: 1537-1948
EditorialOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/00005650-199201000-00001
PMID1309585
OpenAlexW2091820121
IdiomaEN
Citas recibidas8
Referencias citadas5

The purpose of this study is to group hospital-based home care (HBHC) patients homogeneously by their characteristics with respect to cost of care to develop alternative case mix methods for management and reimbursement (allocation) purposes. Six Veterans Affairs (VA) HBHC programs in Fiscal Year (FY) 1986 that maximized patient, program, and regional variation were selected, all of which agreed to participate. All HBHC patients active in each program on October 1, 1987, in addition to all new admissions through September 30, 1988 (FY88), comprised the sample of 874 unique patients. Statistical methods include the use of classification and regression trees (CART software: Statistical Software; Lafayette, CA), analysis of variance, and multiple linear regression techniques. The resulting algorithm is a three-factor model that explains 20% of the cost variance (R2 = 20%, with a cross validation R2 of 12%). Similar classifications such as the RUG-II, which is utilized for VA nursing home and intermediate care, the VA outpatient resource allocation model, and the RUG-HHC, utilized in some states for reimbursing home health care in the private sector, explained less of the cost variance and, therefore, are less adequate for VA home care resource allocation

Business · Case mix index · Economics · Fiscal year · Health care · Home health · Operations management · Reimbursement · Sample (material) · Variance (accounting) · Veterans Affairs · Chronic Disease Management Strategies · Finance · Geriatric Care and Nursing Homes · Healthcare Policy and Management · Medicine · Nursing

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Obras citantes distintas8
Citas por año0,24
Intervalo de citas1993 - 2006 (14)
Velocidad de citaciónhistorical
Altamente citadoNo
Tipos de citaNeutras: 6
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