Purpose: Germline testing for men with prostate cancer (PCa) poses numerous implementation barriers. Alternative models of care delivery are emerging, but implementation outcomes are understudied. We evaluated implementation outcomes of a hybrid oncologist- and genetic counselor-delivered model called the genetic testing station (GTS) created to streamline testing and increase access.
Methods: A prospective, single-institution, cohort study of men with PCa referred to the GTS from October 14, 2019, to October 14, 2021, was conducted. Using the Reach, Effectiveness, Adoption, Implementation, and Maintenance framework, we described patients referred to GTS (Reach), the association of GTS with germline testing completion rates within 60 days of a new oncology appointment in a pre- versus post-GTS multivariable logistic regression (Effectiveness), Adoption, Implementation, and Maintenance. Because GTS transitioned from an on-site to remote service during the COVID-19 pandemic, we also compared outcomes for embedded versus remote GTS.
Results: Overall, 713 patients were referred to and eligible for GTS, and 592 (83%) patients completed germline testing. Seventy-six (13%) patients had ≥ 1 pathogenic variant. Post-GTS was independently associated with higher odds of completing testing within 60 days than pre-GTS (odds ratio, 8.97; 95% CI, 2.71 to 29.75; < .001). Black race was independently associated with lower odds of testing completion compared with White race (odds ratio, 0.35; 95% CI, 0.13 to 0.96; = .042). There was no difference in test completion rates or patient-reported decisional conflict for embedded versus remote GTS. GTS has been adopted by 31 oncology providers across four clinics, and implementation fidelity was high with low patient loss to follow-up, but staffing costs are a sustainability concern.
Conclusion: GTS is a feasible, effective model for high-volume germline testing in men with PCa, both in person and using telehealth. GTS does not eliminate racial disparities in germline testing access.
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http://dx.doi.org/10.1200/OP.22.00638 | DOI Listing |
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