Abstract

e17583 Background: NCCN provides guidelines for breast cancer genetic risk assessment and testing. Measuring compliance with NCCN Guidelines (NG) can identify quality gaps. Methods: After IRB approval, a retrospective review of a prospective database of breast cancer patients was conducted to measure compliance with NG for genetic counseling and BRCA testing. Entry criteria were breast cancer patients with diagnosis and treatment at our center, during the 3 year period ending 12/31/11. Genetic counselors (GC) used NG and BRCAPRO modeling in all patients. Surgeon and GC pedigree analyses were compared. A change to the history was significant if the GC identified information that led to increased or decreased cases of breast or ovarian ca. Results: Surgeons constructed pedigrees in 675 breast cancer patients and referred 42% (286/675) to the GC. The decision to refer was NCCN compliant in 671/675 (99%). The GC corrected the pedigree in 14% (39/286); nearly all due to the GC identifying extra breast or ovarian cancers. The mean BRCAPRO probability in referred patients was 7.2%. Fifty-nine percent (170/286) of patients seen by the GC received a recommendation for BRCA testing. The NG compliance rate for testing was 98% (170/174). Of 174 BRCA tests offered to patients, 74% (128/174) underwent testing. In tested patients, there were 4% BRCA1+, 5% BRCA 2+, and 1% uncertain variants. Total patient charges for 128 tests were $696,000 ($4000/test). If the threshold for testing was BRCAPRO > 5% or >10%, then 69 ($276,000) and 45($180,000) (p<0.001) patient charges would have occurred, and no patient with BRCA + status would have been missed. Conclusions: High rates of NCCN guideline compliance for genetic counseling and testing are achievable. Our GC's improve accuracy of pedigree assessment and demonstrate adherence to NCCN guidelines, resulting in more testing compared to BRCAPRO modeling. The balance between different methods to trigger testing, their sensitivity, and cost deserves more study, but the observational data contained herein provides information for provider and payer stakeholders regarding estimated GC resources and cost of care.

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