Literature DB >> 20310051

Patterns of care for early stage bladder cancer.

Seth A Strope1, Zaojun Ye, John M Hollingsworth, Brent K Hollenbeck.   

Abstract

BACKGROUND: Early stage bladder cancer is a heterogeneous disease with a variable risk of progression and mortality. Uncertainty surrounding the optimal care for these patients may result in a mismatch between disease risk and treatment intensity.
METHODS: Using Surveillance, Epidemiology, End Results-Medicare data, we identified patients diagnosed with early stage bladder cancer (n = 24,980) between 1993 and 2002. We measured patients' treatment intensity by totaling all Medicare payments made for bladder cancer in the 2 years after diagnosis. Using multiple logistic regression, we assessed relationships between clinical characteristics and treatment intensity. Finally, we determined the extent to which a patient's disease risk matched with their treatment intensity.
RESULTS: The average per capita expenditures increased from $6,936 to $7,642 over the study period (10.2% increase; P < .01). This increase was driven by greater use of intravesical therapy (2.6 vs 3.7 instillations per capita, P < .01) and physician office visits (3.0 vs 4.8 visits per capita, P < .01). Generally, treatment intensity was appropriately aligned with many clinical characteristics, including age, comorbidity, tumor stage, and grade. However, treatment intensity matched disease risk for only 55% and 49% of the lowest and highest risk patients, respectively.
CONCLUSIONS: The initial treatment intensity of early stage bladder cancer is increasing, primarily through greater use of intravesical therapy and office visits. Treatment intensity matches disease risk for many, but up to 1 in 5 patients may receive too much or too little care, suggesting opportunities for improvement. (c) 2010 American Cancer Society.

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Mesh:

Year:  2010        PMID: 20310051      PMCID: PMC2876213          DOI: 10.1002/cncr.25007

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


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