Antidepressant prescribing in community XXXX care.

@entity1 @entity308 @entity146 @entity5 @entity2 @entity158 @entity195 @entity694
GOALS: To describe patterns of antidepressant (ADs) prescribing in community oncology practice. @entity1 AND METHODS: Data were collected using an electronic medical record on all staged breast, colon, and @entity2 @entity1 in three community-based oncology practices. The data were analyzed retrospectively, using descriptive and bivariate analyses and multivariate logistic regression modeling. There were 850 breast, 299 colon, and 473 @entity2 @entity1 identified in this analysis. MAIN RESULTS: Overall, 19.2% of breast, 11% of colon, and 13.7% of @entity2 @entity1 had been prescribed ADs during the 2-year period. The clinic in which @entity5 treatment was received predicted @entity195 prescribing. The relationship between @entity195 administration and age proved to be nonlinear; the pattern exhibited an "inverted U" shape. @entity1 with comorbidities and on @entity158 medications were more likely to be administered ADs. @entity694 @entity1 on @entity158 medications were five times more likely to be administered ADs than those not on @entity158 medications. CONCLUSIONS: While some predictors of @entity195 prescribing appear to be consistent with other studies, such as being on @entity158 medication, there is still a great amount of variability in prescribing patterns across community practices, age groups, and @entity5 diagnoses. This study demonstrates that prescriptions of ADs seem to be influenced by parameters other than psychopathology. Given the importance of @entity308 in oncology care, diagnosis of @entity146 and prescription patterns of psychotropics should be part of the routine monitoring and quality management in oncology @entity1 care.
