Patterns and predictors of antidepressant prescribing among adults with cancer and depression in ambulatory care settings in the United States

Objective Despite depression being a common comorbidity among adults with cancer, limited literature is available regarding pharmacologic depression treatment patterns and predictors in this population. This study aims to examine patterns and predictors of antidepressant prescribing among adults with cancer and depression in ambulatory care settings in the United States (US). Methods This retrospective, cross-sectional study utilized data collected from the 2014 to 2015 National Ambulatory Medical Care Survey (NAMCS). The study sample consisted of adults (age >= 18 years) with cancer and depression (unweighted N = 539; weighted N = 11,361,000). A multivariable logistic regression analysis was used to adjust for individual-level factors to identify predictors of antidepressant prescribing. Results Most patients were adults aged >= 65 years, female, and non-Hispanic whites. Thirty-seven percent of the study sample received antidepressant treatment. Multivariable logistic regression analysis revealed that race/ethnicity, physician specialty, and number of medications were significantly associated with receiving antidepressant(s). For example, non-Hispanic whites were two-and-half times more likely to receive an antidepressant [OR 2.43, 95% confidence interval 1.13-5.23] compared to other race/ethnic groups. Every unit increase in the number of prescribed medications increased the likelihood of receiving an antidepressant by 6% (OR 1.06, 95% CI: 1.01-1.11). Conclusion Among adults with a comorbid cancer and depression diagnosis and a recorded U.S. ambulatory care visit in 2014-2015, 37% received antidepressant treatment. This suggests most patients with cancer and depression do not receive pharmacologic treatment for depression. Future studies are needed to investigate the impact of antidepressant treatment on health outcomes in this patient population.