Effectiveness of tablet family history collection in a multidisciplinary pancreatic tumor clinic in identifying patients with risk factors for hereditary cancer.

Abstract

e13020 Background: A substantial percentage of patients with pancreatic adenocarcinoma (PDAC) harbor pathogenic germline variants in known cancer risk genes, some with relevance for treatment options. Robust collection of relevant personal and family cancer history risk factors for all patients with PDAC is needed to optimize identification of those who could benefit from genetic counseling and testing (GC/GT). Methods: 464 adult patients (≥18 years of age) presenting to a multi-disciplinary pancreatic tumor clinic were invited to complete a tablet based family cancer history survey prior to their clinic appointments. Standard family history entry into electronic medical record (EMR) was reviewed for comparison. Eight GC/CT referral criteria were developed based on existing guidelines for known syndromes associated with PDAC, reported findings from studies of GC/GT outcomes in patients with PDAC, and expert opinion. Presence of any of the 8 criteria were documented for both tablet and EMR collection methods in the subset of patients with PDAC (n = 230). Results: Completion rate for the tablet survey was high (87%). 78% of users completed the survey in ≤15 minutes (x̄ = 12 minutes). 202 patients with PDAC (88%) completed the tablet survey, and 100 (50%) met ≥1 GC/GT criteria. Most frequent criteria identified were: ≥2 relatives with related cancers (28%); ≥1 relative with PDAC (12.9%); personal history of related cancer (12.9%). Tablet data collection improved identification of relatives with breast cancer ca < age 50 from 1.5% to 5.5% due to missing ages at diagnosis in the EMR. The tablet survey also identified 12 patients with Ashkenazi Jewish (AJ) ancestry (6%), a risk factor not accounted for in EMR. Conclusions: Tablet based family cancer history collection is well accepted by patients and easily integrated into clinic work flow. The tablet survey found GC/GT criteria in 50%, and improved identification of key risk factors for BRCA1/2 mutation (AJ ancestry, relative with breast ca < age 50). Further work should focus on integration of tablet based survey data into EMR, and decision support tools to optimize referral and follow through with genetic services.