JSM Preliminary Online Program
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Activity Number: 158
Type: Topic Contributed
Date/Time: Monday, August 3, 2009 : 10:30 AM to 12:20 PM
Sponsor: Section on Health Policy Statistics
Abstract - #304999
Title: Identification of Ovarian Cancer Symptoms in Health Insurance Claims Data
Author(s): Sean Devlin*+ and Paula Diehr and Robyn Andersen and William Lafferty
Companies: University of Washington and University of Washington and Fred Hutchinson Cancer Research Center/University of Washington and University of Missouri
Address: Dept of Biostatistics, Seattle , WA, 98112,
Keywords: health policy ; insurance claims ; ovarian cancer
Abstract:

Women diagnosed with ovarian cancer tend to report four primary symptoms prior to diagnosis. While case-control studies have been important in identifying the initial symptoms, this paper examines how health insurance claim data can further elucidate the association between symptom prevalence and ovarian cancer, and potentially address the need for advocacy at the patient- and/or physician-level. We examine methods to discern the relative prevalence of the four symptoms and describe the association with cancer stage at diagnosis. Lastly, we explore the performance of a hypothetical passive screening tool implemented using insurance claim data.


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