Movement Disorders (revue)

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Predicting the cost of Parkinson's disease.

Identifieur interne : 001B07 ( Ncbi/Checkpoint ); précédent : 001B06; suivant : 001B08

Predicting the cost of Parkinson's disease.

Auteurs : Paul Mccrone [Royaume-Uni] ; Liesl M. Allcock ; David J. Burn

Source :

RBID : pubmed:17290462

English descriptors

Abstract

The degenerative nature of Parkinson's disease (PD) suggests that it will lead to high levels of resource use. This study measures service use and costs for a representative community sample of PD patients and identifies cost predictors. Patients were identified from general practices and were interviewed twice, separated by a 12-month interval. Demographic and clinical data on patients were collected and 6-month costs were calculated. Regression analysis was used to identify significant baseline predictors of follow-up costs. The annual service costs (baseline and follow-up combined) were 13,804 pounds per person. Formal service costs accounted for 20% of this figure with informal care from families/friends accounting for 80%. The regression model explained 42% of total follow-up costs and significant predictors included gender (with men having higher costs), disability, and depression.

DOI: 10.1002/mds.21360
PubMed: 17290462


Affiliations:


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pubmed:17290462

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<div type="abstract" xml:lang="en">The degenerative nature of Parkinson's disease (PD) suggests that it will lead to high levels of resource use. This study measures service use and costs for a representative community sample of PD patients and identifies cost predictors. Patients were identified from general practices and were interviewed twice, separated by a 12-month interval. Demographic and clinical data on patients were collected and 6-month costs were calculated. Regression analysis was used to identify significant baseline predictors of follow-up costs. The annual service costs (baseline and follow-up combined) were 13,804 pounds per person. Formal service costs accounted for 20% of this figure with informal care from families/friends accounting for 80%. The regression model explained 42% of total follow-up costs and significant predictors included gender (with men having higher costs), disability, and depression.</div>
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