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McGovern, Emily

https://orcid.org/0000-0002-1865-7727

Mayo Clinic

Rural Cancer Institute

Citations 2

Impact of prior authorization for oncology medications on practices with majority rural patient populations.
McGovern, Emily , Troy, Jeanie, Hughes, Heidi, Nelson, Lisa , Yuan, R., Nelson, Kristina R., Perschke, Grant, Ticku, Jonathan, Kamboj, Jasmine , Pritchett, Joshua C. , Schroeder, Zachary, Troy, Jeanie, Hughes, Heidi, Nelson, Lisa, Nelson, Kristina R., Kelly, Benjamin, Soefje, Scott A. , Swenson, Wade T.

JCO Oncology Practice | October 7, 2025 | Volume: 21 | Issue: 10_suppl | Pages: 55-55

10.1200/op.2025.21.10_suppl.55 Get It

55 Background: Prior authorization (PA) processes are known to create administrative burdens and delays in care, but little is known about how these challenges impact rural oncology patients and practice settings. Methods: To understand the broad impact of prior authorization on rural oncology patients and practices, we conducted this study across three community oncology practices serving majority rural patient populations with distinct geography, healthcare infrastructure, and models of care. Sites included one critical access hospital system located in a highly-rural community (Lakewood Health System; Staples, Minnesota), a community-based hub-and-spoke hospital system-based practice located in a mid-sized community (Mayo Clinic Health System – Northfield; Northfield, Minnesota), and a standalone referral level III trauma center serving a highly rural patient base (Self Regional Healthcare; Greenwood, South Carolina). This retrospective cohort study examined all intravenous and subcutaneous cancer-directed therapy plans (no oral therapy) that required PA submission at these locations over a three-month period from October 1, 2024 to December 31, 2024. Results: 129 PA submissions were required during the study period. 82 were due to cancer-directed therapy agents (of which 14 were immunotherapy agents), and 47 were due to adjunctive therapies (of which 22, 16, and 9 were due to granulocyte stimulation, bone preservation, and anti-emesis agents, respectively). All 129 PA submissions ultimately resulted in approval of the desired medication or formulary-approved biosimilar. Delays from PA submission to approval ranged from 0 to 18 days. A total of 209 patient-days were delayed due to PA during the study period, which did not ultimately result in change of care or denial of care in any instance. Conclusions: At all sites included in this study, all PA submissions were eventually authorized. The PA process was found to introduce inconsistent and potentially avoidable delays for hundreds of patients and their care teams. These findings highlight the inefficiency of current PA processes among rural cancer populations and the practices that care for them, underscoring the need for ongoing efforts directed at state and federal PA reform.
The role of income and rurality in US cancer mortality: A SEER analysis.
McGovern, Emily , Swenson, Abigail Paige, Williams, Aquino Anthony, Deviley, Jake A. , Eldien, Anika , Armstrong, Andrew , Prakash, Sahil, Gully, Brooke , Kelso, S. R., Jacobson, Ingrid , Swenson, Wade T. , Schroeder, Zachary, Williams, Aquino Anthony, Prakash, Sahil, Kelso, Sean, Pritchett, Joshua C.

Journal of Clinical Oncology | May 28, 2025 | Volume: 43 | Issue: 16_suppl | Pages: No page available

10.1200/jco.2025.43.16_suppl.e13828 Get It

e13828 Background: Disparities in cancer outcomes between rural and urban populations are often linked to limited healthcare resources in rural areas. However, the impact of socioeconomic factors, particularly income inequality, requires further investigation. Methods: We analyzed cancer mortality rates using the Surveillance, Epidemiology, and End Results (SEER) database, focusing on rural-urban continuum codes and median county income, the proportions of patients with de novo metastatic disease at diagnosis, those aged 80 and older, and those experiencing a treatment delay of three months or more. Results: Our findings indicate that non-metropolitan counties (56.7%, 95% CI: 56.6%, 56.8%) and those with lower median incomes (54.9%, 95% CI: 54.8%, 55.1%) have significantly lower cancer survival rates than metropolitan counties (62.6%, 95% CI: 62.5%, 62.6%) and higher-income rural counties (62.6%, 95% CI: 62.6%, 62.7%), a trend consistent over the observation period. Higher proportions of de novo metastatic disease and increased treatment delays were observed in counties with lower income and greater rurality, with these counties also demonstrating higher annual percentage rates of change for both de novo metastatic disease (P < 0.05) and treatment delays (P < 0.05). Conclusions: Lower county-level median household income is associated with higher cancer mortality rates, increased de novo metastatic disease, and longer treatment delays. These results underscore the need to appreciate the role of income disparities in cancer outcomes and to improve access to oncology care in underserved rural populations.