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Gynecol Oncol ; 183: 126-132, 2024 Apr.
Article in English | MEDLINE | ID: mdl-38493020

ABSTRACT

OBJECTIVES: Although genetic testing (GT) is universally recommended for patients with epithelial ovarian cancer (EOC), rates are low (34%). In 1/2019, we implemented mainstreaming-GT in parallel with tumor testing via MSK-IMPACT within oncology clinics. We sought to determine GT rates pre/post-mainstreaming and patient characteristics associated with GT. METHODS: Patients with newly diagnosed EOC seen at our institution from 7/1/2015-3/31/2022 were included. Clinical data were abstracted including social determinants of health (SDOH) variables, race/ethnicity, marital status, insurance, language, comorbidities, employment, and Yost index, a measure of socioeconomic status. GT rates were calculated overall and pre-/post-mainstreaming (1/2019). Logistic regression models were fit to identify variables associated with GT. RESULTS: Of 1742 patients with EOC, 1591 (91%) underwent GT. Rates of GT increased from 87% to 95% after mainstreaming (p < 0.001). Among 151 patients not undergoing GT, major reasons were lack of provider recommendation (n = 76, 50%) and logistical issues (n = 38, 25%) with few declining (n = 14, 9%) or having medical complications preventing GT (n = 7, 4.6%). High-grade serous histology, advanced stage (III/IV), and having a spouse/partner were associated with increased GT uptake (p < 0.01). Among SDOH variables, there were no differences by insurance, Yost score, language, comorbidities, employment, or race/ethnicity. In multivariable models, likelihood of GT increased with mainstreaming, even after adjustment for histology, stage, and marital status (OR 3.77; 95% CI: 2.56-5.66). CONCLUSIONS: Mainstreaming increased the likelihood of GT in patients with EOC. We found lower testing rates in patients without partners/spouses, non-high-grade serous histology, and early-stage disease, representing potential areas for future interventions.


Subject(s)
Carcinoma, Ovarian Epithelial , Genetic Testing , Ovarian Neoplasms , Humans , Female , Middle Aged , Carcinoma, Ovarian Epithelial/genetics , Carcinoma, Ovarian Epithelial/diagnosis , Carcinoma, Ovarian Epithelial/pathology , Genetic Testing/statistics & numerical data , Genetic Testing/methods , Ovarian Neoplasms/genetics , Ovarian Neoplasms/diagnosis , Ovarian Neoplasms/pathology , Aged , Adult , Patient Acceptance of Health Care/statistics & numerical data
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