ArticleSSM. Mental health2024
Racial differences in the incidence of mental health illness among ovarian cancer patients: An analysis of SEER-Medicare data.
Article in SSM. Mental health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Background: Ovarian cancer (OC) patients have an increased risk for a mental health illness (MHI) after their cancer diagnosis, but limited research exists on whether this risk differs by race/ethnicity. Hence, we used SEER-Medicare data to evaluate racial/ethnic differences in MHI incidence among OC patients aged 65+. Methods: Non-Hispanic (NH) Black, NH White, and Hispanic women diagnosed with OC in 2008-2015 without a mental health history 12 months prior to their cancer diagnosis were identified from SEER-Medicare. Cox proportional hazards regression evaluated new MHI incidence in the first five years post diagnosis and the differences by race/ethnicity. Hazard ratios (HR) and 95% confidence intervals (CI) adjusted for demographic/clinical covariates and healthcare access (HCA) dimensions. Results: We identified 5441 OC patients, including 364 NH Black (6.7%), 4982 NH White (91.6%), and 95 Hispanic (1.7%) patients. About 41% of NH White, 33.3% of NH Black, and 37.2% of Hispanic OC patients were diagnosed with MHI during the follow-up period between 2008 and 2016. In the fully adjusted model, NH Black OC patients were less likely to be diagnosed with any MHI (aHR: 0.67, 95% CI: 0.54, 0.82), depression (aHR: 0.66, 95% CI: 0.51, 0.86), and anxiety disorder (aHR: 0.64, 95% CI: 0.49, 0.84), while Hispanic OC patients were less likely to be diagnosed with anxiety disorder (aHR: 0.56, 95% CI: 0.33, 0.95) compared to NH White OC patients. Discussion: NH Black OC patients are less likely to receive a clinical MHI diagnosis compared to NH White OC patients. Further studies on racial differences in MHI incidence after OC diagnosis in primary cohorts are needed to better estimate population-level prevalence less vulnerable to exposure misclassification and to account for patient-level factors impacting MHI.
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