The Impact of Systematic Depression Screening in Primary Care on Depression Identification and Treatment in a Large Health Care System: A Cohort Study.

Abstract

Unless implementation of systematic depression screening is associated with timely treatment, quality measures based on screening are unlikely to improve outcomes. To assess the impact of integrating systematic depression screening with clinical decision support on depression identification and treatment. Retrospective pre-post study. Adults with a primary care visit within a large integrated health system in 2016 were included. Adults diagnosed with depression in 2015 or prior to their initial primary care visit in 2016 were excluded. Initiation of systematic screening using the Patient Health Questionnaire (PHQ) which began in mid-2016. Depression diagnosis was based on ICD codes. Treatment was defined as (1) antidepressant prescription, (2) referral, or (3) evaluation by a behavioral health specialist. We used an adjusted linear regression model to identify whether the percentage of visits with a depression diagnosis was different before versus after implementation of systematic screening. An adjusted multilevel regression model was used to evaluate the association between screening and odds of treatment. Our study population included 259,411 patients. After implementation, 59% of patients underwent screening. Three percent scored as having moderate to severe depression. The rate of depression diagnosis increased by 1.2% immediately after systematic screening (from 1.7 to 2.9%). The percent of patients with diagnosed depression who received treatment within 90days increased from 64% before to 69% after implementation (p < 0.01) and the adjusted odds of treatment increased by 20% after implementation (AOR 1.20, 95% CI 1.12-1.28, p < 0.01). Implementing systematic depression screening within a large health care system led to high rates of screening and increased rates of depression diagnosis and treatment.