Using electronic health records to characterize prescription patterns: focus on antidepressants in nonpsychiatric outpatient settings.

OBJECTIVE: To characterize nonpsychiatric prescription patterns of antidepressants according to drug labels and evidence assessments (on-label, evidence-based, and off-label) using structured outpatient electronic health record (EHR) data. METHODS: A retrospective analysis was conducted using deidentified EHR data from an outpatient practice at a New York City-based academic medical center. Structured "medication-diagnosis" pairs for antidepressants from 35 325 patients between January 2010 and December 2015 were compared to the latest drug product labels and evidence assessments. RESULTS: Of 140 929 antidepressant prescriptions prescribed by primary care providers (PCPs) and nonpsychiatry specialists, 69% were characterized as "on-label/evidence-based uses." Depression diagnoses were associated with 67 233 (48%) prescriptions in this study, while pain diagnoses were slightly less common (35%). Manual chart review of "off-label use" prescriptions revealed that on-label/evidence-based diagnoses of depression (39%), anxiety (25%), insomnia (13%), mood disorders (7%), and neuropathic pain (5%) were frequently cited as prescription indication despite lacking ICD-9/10 documentation. CONCLUSIONS: The results indicate that antidepressants may be prescribed for off-label uses, by PCPs and nonpsychiatry specialists, less frequently than believed. This study also points to the fact that there are a number of off-label uses that are efficacious and widely accepted by expert clinical opinion but have not been included in drug compendia. Despite the fact that diagnosis codes in the outpatient setting are notoriously inaccurate, our approach demonstrates that the correct codes are often documented in a patient's recent diagnosis history. Examining both structured and unstructured data will help to further validate findings. Routinely collected clinical data in EHRs can serve as an important resource for future studies in investigating prescribing behaviors in outpatient clinics.

Predictors of Disclosure of Maternal HIV Status by Caregivers to their Children in an Inner-City Community in the United States.

Disclosure of HIV status to children is a challenge parents living with HIV face. To evaluate predictors of maternal HIV disclosure in a low-income clinic in the U.S. that serves an African American, Hispanic and immigrant population with high HIV prevalence, 172 caregivers with 608 children completed a standardized survey. Caregivers were 93 % female, 84 % biological mothers, and 34 % foreign born. Sixty-two (36 %) caregivers had at least one disclosed child, 42 of whom also had other nondisclosed children. Of all children, 581 (96 %) were uninfected and 181 (30 %) were disclosed. Caregiver's U.S. birth (OR: 2.32, 95 % CI 1.20-4.52), child's age (OR: 1.2/year, 95 % CI 1.16-1.24), and increased HIV-stigma perception by caregiver (1.06/point increase, 95 % CI 1.04-1.09) predicted disclosure. Children were more often disclosed if their caregiver was born in the U.S. or reported higher HIV-related stigma. These findings suggest that complex family context may complicate disclosure, particularly among immigrants.