Demographic Characteristics and Initial Diagnostic Staging of Patients with Breast Cancer Across Large Community Health Systems in the US
Author(s)
Lorenzo R, Pomerantz D, Subramanian V, Tran M, Rioth M, Berry A, Walters S, Wolf F, Sommers C, Chen W, Wolfe T, Brown T
Syapse, San Francisco, CA, USA
Presentation Documents
OBJECTIVES: Community health systems (CHSs) play a large role in the care of patients with cancer with these systems treating over 50% of patients with cancer across the US. The profile of patients with breast cancer seen in CHSs within the US are not widely published. This analysis describes the demographic and diagnostic staging characteristics of patients with breast cancer treated across a sample of CHSs. METHODS: A retrospective analysis was performed utilizing the Syapse Learning Health Network (SLHN), an electronic medical record (EMR) derived database that collects cancer care data from multiple care settings that make up the US CHSs across 33 states, 450+ hospitals and 1,900+ community employed oncologists. Patients aged >18 yo at breast cancer diagnosis from January 1, 2010 - June 22, 2021 were identified from the SLHN using ICD-10 codes. Data utilized for this analysis included both structured data (set EMR fields like sex, birth date) and unstructured data (physician notes) validated by Syapse’s Certified Tumor Registrars and then descriptively summarized. RESULTS: 33,706 patients from the SLHN were included in the analysis. Patient demographics included: median age of 62 years at breast cancer diagnosis with 79% being >50 years of age; 99% female; 79% White, 15% Black, 3% Asian, 3% other; 4% of Hispanic/Latino ethnicity. 32,356 patients had stage at diagnosis available; 90% were diagnosed in the early stages (0 - IIIA) and 10% were diagnosed in the advanced stages (IIIB+) of breast cancer. CONCLUSIONS: Patients with breast cancer treated in community health systems within the SLHN were elderly, menopausal based on their age, with most being diagnosed in the early stages of breast cancer. Additional analysis is planned to provide further insight into clinical characteristics and treatment patterns of patients with breast cancer treated within these community health systems.
Conference/Value in Health Info
2021-11, ISPOR Europe 2021, Copenhagen, Denmark
Value in Health, Volume 24, Issue 12, S2 (December 2021)
Code
POSC409
Topic
Real World Data & Information Systems
Topic Subcategory
Health & Insurance Records Systems
Disease
Oncology