Palliative Medicine Referral and End-of-Life Interventions Among Racial and Ethnic Minority Patients With Advanced or Recurrent Gynecologic Cancer

BACKGROUND: Referral to palliative medicine (PM) has been shown to improve quality of life, reduce hospitalizations, and improve survival. Limited data exist about PM utilization among racial minorities with gynecologic malignancies. Our objective was to assess differences in palliative medicine referrals and end of life interventions (within the last 30 days of life) by race and ethnicity in a diverse population of gynecologic oncology patients. METHODS: A retrospective cohort study of patients receiving gynecologic oncologic care at a tertiary referral center between 2017 – 2019 was conducted. Patients had either metastatic disease at the time of diagnosis or recurrence. Demographic and clinical data were abstracted. Exploratory analyses were done using chi-square and rank sum tests. Tests were two-sided with significance set at P < .05. RESULTS: A total of 186 patients were included. Of those, 82 (44.1%) were referred to palliative medicine. Underrepresented minorities accounted for 47.3% of patients. English was identified as the primary language for 69.9% of the patients and Spanish in 24.2%. Over 90% of patients had insurance coverage. Ovarian cancer (37.6%) and uterine cancer (32.8%) were the most common sites of origin. Most patients (75%) had advanced stage at the time of diagnosis. Race and language spoken were not associated with referral to PM. Black patients were more likely to have been prescribed appetite stimulants compared to White patients (41% vs 24%, P = .038). Black patients also had a higher number of emergency department visits compared to White patients during the study timeframe. Chemotherapy in the last 30 days of life was also more likely to be given to Black patients compared to White (P = .019). CONCLUSIONS: Race was associated with variation in interventions and healthcare utilization near end-of-life. Understanding the etiologies of these differences is crucial to inform interventions for care optimization as it relates specifically to the health of minority patients.