A retrospective evaluation of unplanned hospital admission rates for women with ovarian cancer.

Abstract

e18129 Background: Unplanned admission following chemotherapy is a measure of quality cancer care. Large retrospective datasets have shown admission rates 10-35% in women with ovarian cancer receiving chemotherapy. It is unclear whether the Oncology Care Model is sustainable based on these admission rates. We sought to evaluate the rate and risk factors for hospital admission following chemotherapy in our racially diverse urban population. Methods: After IRB approval, all patients with epithelial ovarian cancer who received chemotherapy at our institution from 2005-2016 were identified. Charts were retrospectively reviewed for clinicopathologic data. Categorical variables were compared with chi-squared and continuous variables with the student t-test. Results: 222 evaluable patients were identified. 37 (17%) patients had unplanned admissions following initial chemotherapy. Indications for admission included neutropenic fever (9), abdominal pain (15), metabolic disturbances (2), infection (3), and other (8). The median number of days from chemotherapy to admission was 8 (IQR 7-18.5). No significant differences were seen in race, medical co-morbidities, age, or BMI in admitted patients. Stage and primary neoadjuvant chemotherapy were predictive of admission. Conclusions: Unplanned hospital admission rates following initial chemotherapy in our racially diverse patient population are consistent with previously reported rates. Though age and medical co-morbidities did not predict admission, stage and primary neoadjuvant chemotherapy were predictive of subsequent admission. The Oncology Care Model may not account for hospital admission rates of this magnitude and further investigation is needed to identify predictors of hospitalization and poor outcomes. [Table: see text]