Abstract
OBJECTIVES: To describe medication management of children diagnosed with anxiety and/or depression by primary care providers within a primary care network. STUDY DESIGN/METHODS: We performed a retrospective cross-sectional analysis of electronic health record (EHR) structured data from all children seen at least twice in a 4-year observation period within a network of primary care clinics in Northern California. For children who had visit diagnoses of anxiety, depression, anxiety+depression or symptoms characteristic of these conditions, we analyzed the rates and types of medications prescribed. A logistic regression model considered patient variables for the combined sample. RESULTS: Of all patients 6-18 years old (N = 59,484), 4.4% (n = 2,635) had a diagnosis of anxiety only, 2.4% (n = 1,433) depression only, and 1.2% (n = 737) both anxiety and depression (anxiety + depression); 18% of children with anxiety and/or depression had comorbid ADHD. A total of 15.0% with anxiety only (n = 357), 20.5% with depression only (n = 285), and 47.4% with anxiety+depression (n=343) were prescribed a psychoactive non-stimulant medication. For anxiety and depression only, the top three medications prescribed were sertraline, fluoxetine, and citalopram. For anxiety + depression, the top three medications prescribed were citalopram, sertraline, and escitalopram. Frequently prescribed medications also included benzodiazepines. Logistic regression modeling showed that the depression only and anxety + depression categories had increased likelihood of medication prescription. Older age and mental health comorbidities were independently associated with increased likelihood of medication prescription. CONCLUSIONS: In this network, ~8% of children carried a diagnosis of anxiety and/or depression. Medication choices generally aligned with current recommendations with the exception of use of benzodiazepines.