Abstract

e23128 Background: The aims of this study were to examine the associations between depression and complications, health care utilization and costs in patients with cancer. Methods: Patients diagnosed with cancer were administered a battery of questionnaires, including the Center for Epidemiological Studies-Depression (CES-D) Scale. Health care utilization and costs for patients was collected for one year after the administration of the CES-D. Descriptive statistics, Chi-square and ANOVA, and ordered restricted inference analyses were performed. Results: Of the 100 patients, the mean age was 64.0 years (SD = 10.3), the majority of patients were male (51%), Caucasian (89%), diagnosed with hepatocellular or cholangiocarcinoma (47%) and stage III and IV cancer (60%), and 34% of patients had clinical levels of depressive symptoms (CES-D > 16). No demographic or disease specific variables were associated with depressive symptoms or outcomes. Surgical patients with clinical levels of depression had a greater number of complications [Chi-square = 4.4, p = 0.036] and a greater severity of complications using Clavien-Dindo classification [Chi-square = 4.5, p = 0.033]. Patients undergoing chemotherapy, who reported depressive symptoms in the clinical range, were more likely to require medical intervention for chemotherapy side effects [Chi-square = 4.2, p = 0.04]. Patients with clinical levels of depressive symptoms also had a greater number of emergency room visits [F(1,99) = 8.4, p = 0.005]. Patients who reported clinical levels of depressive symptoms had significantly higher median costs associated with the loss of work force productivity (Median = 7154versus7154 versus 2104; p = 0.015), hospital costs (Median = 29,917versus29,917 versus 8292, p = 0.019), and cost per registration (Median = 3324versus3324 versus 1247, p = 0.017) but lower physician costs (Median = 6171versus6171 versus 10,821; p = 0.026) than patients with non-clinical levels of depressive symptoms. Conclusions: Depressive symptoms are associated with increased complications and health care utilization and costs. There is an urgent need for effective and scalable interventions to reduce depressive symptoms in patients diagnosed with cancer to improve quality of life and reduce health care utilization and costs

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