Abstract PO5-12-01: Characteristics of Patients Served by Participants in a Survivorship Navigator Learning Collaborative

Abstract Patient navigation is demonstrated to be a successful model for improving breast cancer screening and early detection, particularly for women in under-resourced communities. The effectiveness of this model has not yet been explored in cancer survivorship. Our research assesses the feasibility of community-based patient navigation after a breast cancer diagnosis. This analysis focuses on the role of patient navigators in providing community-based peer support for women living with breast cancer. We conducted an analysis of data from the Breast Cancer Survivorship Patient Navigator Virtual Learning Collaborative (VLC), a case-based, iterative, virtual training program designed to increase capacity of community-based patient navigators to support women diagnosed with breast cancer. Navigators participated in a 14-week practice-based curriculum focused on improving community support for breast cancer survivors. Each session included a brief lecture followed by a case presentation by a participant. Lecture topics include Breast Cancer 101, Psychosocial support, Treatment options, Clinical trials, Sexual Health, Palliative Care, Genetic Testing, and Trauma. All participants were asked to present at least one de-identified case for discussion, using an 55-item case presentation template. The template included data on patient demographics, diagnosis, treatment, and support. To encourage active learning, navigators were encouraged to present challenging cases for discussion focused on identifying solutions and providing peer support. This analysis focuses on the characteristics of patients presented by community navigators from January 2021 to May 2023. A total of 92 de-identified patient cases were presented by 71 patient navigators and community health workers. (Table 1) The majority of patients were diagnosed within 12 months (62%), with early stage (Stages I-III) disease (78%), and were in active treatment or had not yet started treatment (67%). More than half of the cases had tumors that were HR+ (54%) and nearly half were HER2- (43%); 9% of cases were triple negative and 9% were triple positive. Tumor characteristics were not reported for 27% of cases. Individuals diagnosed with metastatic breast cancer (MBC) compared with those diagnosed with early stage disease were more likely to be Black (59% v 39%), single (56% v 31%), not currently employed (100% v 46%), younger (average age 52 v 55 years old) and insured through Medicaid (56% v 17%) Individuals living with MBC relied more heavily on professional support compared to those diagnosed with early stage disease. The majority of MBC patients relied on the clinical care team (67%) and friends and family (67%) for support, with a large number also receiving support from faith-based organizations (56%), compared to those with early stage disease who relied on friends and family (90%) and the clinical care team (54%). Both groups relied on navigators (33% v 35%) and social workers (44% v 34%), while those with MBC relied more frequently on paid caregivers (44% v 3%), disability services (22% v 6%). The data indicates that individuals with MBC had more unmet needs, including practical support (55% v 33%) and disability (55% v 14%). Supportive care needs vary considerably based on stage of diagnosis, while community-based supportive services are often designed to meet the needs of those diagnosed with early stage disease. Community-based survivorship navigators more readily engage with patients with early stage disease who are newly diagnosed or in active treatment. Individuals with MBC have fewer community-based resources and are less likely to connect with a community-based navigator. Data from our Breast Cancer Survivorship Patient Navigator VLC points to the potential to identify gaps in community-based survivorship care. Future research should focus on expanding the reach of community navigators and ensuring community-based support for patients across all stages. Table 1 Demographics of Patients Presented at VLC Citation Format: Tamara Hamlish, Talia Holzman Castetllands. Characteristics of Patients Served by Participants in a Survivorship Navigator Learning Collaborative abstract. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO5-12-01.