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Does the Addition of Functional Status Indicators to Case-Mix Adjustment Indices Improve Prediction of Hospitalization, Institutionalization, and Death in the Elderly

Datos Bibliográficos

ID9101899
AutoresNancy E Mayo (0000-0003-2066-7120, McGill University, autor de correspondencia), Lyne Nadeau (0000-0003-0466-0260, autor de correspondencia), Linda E Lévesque (0000-0001-6188-6253, McGill University, autor de correspondencia), Linda Levesque, Sydney Miller (0000-0002-8194-1712, Concordia University), Lise Poissant (0000-0002-4925-6352), Robyn Tamblyn (0000-0003-0134-6954, McGill University, autor de correspondencia)
Año2005
Volumen43
Número12
Páginas1194-1202
Fecha de publicación2005-12-01
Peer ReviewedSí
Open AccessNo
TipoARTICLE
RevistaMedical Care (JOURNAL)
Identificadores de la revistaISSN: 0025-7079 • E-ISSN: 1537-1948
EditorialOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/01.mlr.0000185749.04875.cb
PMID16299430
OpenAlexW2040923010
IdiomaEN
Citas recibidas2
Referencias citadas35

BACKGROUND: Case-mix adjustment is widely used in health services research to ensure that groups being compared are equivalent on variables predicting outcome. There has been considerable development and testing of comorbidity indices derived from diagnostic codes recorded in administrative databases, but increasingly, the benefit of clinical information and patient reported ratings of health and functional status is being recognized. One type of information that is highly valued but has so far not been captured by administrative health databases is functional status indicators (FSI). OBJECTIVE: The purpose of this study was to estimate the extent to which prediction of health outcomes can be improved on by including information on functional status indicators (FSI). RESEARCH DESIGN: The data for the current study was obtained from a clustered randomized trial evaluating computerized decision support for managing drug therapy in the elderly, conducted from 1997 to 1998. A total of 107 primary care physicians participated in this trial and 6465 of their patients (51%) completed a generic health status measure-the SF-12-before the intervention. C statistics and R were used to compare the predictive value of sociodemographic factors, 2 comorbidity indices, and 11 FSI predictor variables derived from the SF-12 and coded (possible for 8) using the International Classification of Functioning (ICF). RESULTS: Using stepwise logistic regression, FSI, particularly limitation in stair climbing or doing moderate activities like housework, were found to be strong and independent predictors of all outcomes, even after controlling for sociodemographics and comorbidity. CONCLUSION: This study indicates that FSI provided as robust a prediction of health events as did complex comorbidity indices. Additionally, the ICF coding system provides a mechanism whereby information on FSI could be incorporated into administrative databases through the use of electronic health records that include a health or functional status measure

Comorbidity · Logistic regression · Psychiatry · Chronic Disease Management Strategies · Frailty in Older Adults · Health disparities and outcomes · Internal Medicine · Medicine · Gerontology

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Obras citantes distintas2
Citas por año0,1
Intervalo de citas2006 - 2009 (4)
Velocidad de citaciónhistorical
Altamente citadoNo
Tipos de citaNeutras: 2
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