Texas Oncology, Austin, TX
Gayle Patel, Trisha Nichols, Ann Bunnell, Kate Principe, John F. Sandbach, Sara Toth, Monica White, Christine L. Long, Megan Jones, Ryan Sperl, Lalan S. Wilfong
Background: Identifying individuals with inherited cancer susceptibility is critical to cancer treatment and prevention in patients and families. While the identification and management of inherited susceptibility to cancer is the standard of care, genetic testing rates are low; 1.2 million women with breast and/or ovarian cancer who qualify have yet to undergo genetic testing (Childers et al 2017). The Genetic Risk Evaluation and Testing Program (GREAT) formed to improve access to genetic evaluations and testing in Texas Oncology, a large, state-wide community oncology practice. Methods: The GREAT program is a collaborative service delivery model, utilizing 4 certified genetic counselors (CGC) to lead advanced practice providers and physicians in offering pre and post-test evaluations to oncology patients in their own community. Training involves 8-12 weeks of didactic lectures, precepting, and ongoing education and support. GREAT-trained providers then offer comprehensive genetic evaluations and testing to established oncology patients as well as at-risk individuals from the surrounding community. Results: The GREAT program has trained 72 providers at 52 cancer centers. Rates of genetic evaluations increased each year from 2012 to 2018. Overall findings: 19,129 unique patients received an evaluation; 17,305 genetic tests were completed; 2,597 pathogenic/likely pathogenic variants (P/VLP) have been identified. Conclusions: Despite guidelines recommending genetic evaluations for hereditary cancer syndromes, most patients are not receiving this service. A hybrid service delivery model utilizing regional CGCs to train providers in community oncology offices can significantly increase access to genetic services. The model described is an effective and expansive mechanism for the delivery of high-quality cancer genetics care. The GREAT program plans to hire additional CGCs to train more providers across Texas Oncology with the goal of expanding access.
Year | Total Unique Patients | Total Genetic Tests | Total P/VLP |
---|---|---|---|
2012 | 697 | 684 | 82 |
2013 | 1487 | 1392 | 188 |
2014 | 2102 | 2230 | 341 |
2015 | 2517 | 2304 | 330 |
2016 | 2811 | 2389 | 376 |
2017 | 3879 | 3235 | 517 |
2018 | 4976 | 4362 | 705 |
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