Literature DB >> 18380634

Costs associated with diffuse large B-cell lymphoma patient treatment in a Canadian integrated cancer care center.

Robert C Lee1, Denise Zou, Douglas J Demetrick, Lisa M Difrancesco, Konrad Fassbender, Douglas Stewart.   

Abstract

OBJECTIVE: The objective of this study was to provide a detailed comparative microcosting analysis for two cancer treatment pathways to contribute evidence for resource allocation and operational decision-making in a Canadian cancer care context.
METHODS: We estimated direct medical costs (in 2004 CAN$) of the entire pathway of care for diffuse large B-cell lymphoma (DLBCL) patients in a large Canadian cancer treatment center. Patient samples were defined as those who received R-CHOP (rituximab plus cyclophosphamide, doxorubicin, vincristine, and prednisone; n = 85) or CHOP (i.e., without rituximab; n = 86) as first-line treatment. All subsequent treatments including palliative care for these patient samples were assessed. Hospitalization costs and unit costs of medical resources were collected from integrated medical organizations. Individual patient resource consumption was assessed via medical chart review.
RESULTS: For first-line treatment, drug cost was the largest contributor to total cost, followed by hospitalization cost. Rituximab was the largest contributor to mean cost differences between R-CHOP and CHOP treatments. For treatments subsequent to first-line treatment, no significant cost differences were found. Hospitalization and transplantation costs were the two largest constituents of total costs subsequent to first-line treatment, followed by drug cost. Patients with advanced stage disease cost significantly more than patients with limited stage disease.
CONCLUSION: This is the first detailed microcosting study that has employed consistent local data to estimate total medical costs for DLBCL patients in Canada. This information is useful for resource allocation planning and operational decisions, because it provides more substantive, relevant evidence as compared to aggregated, literature or extrapolated information.

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Year:  2008        PMID: 18380634     DOI: 10.1111/j.1524-4733.2007.00227.x

Source DB:  PubMed          Journal:  Value Health        ISSN: 1098-3015            Impact factor:   5.725


  6 in total

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  6 in total

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