Improving Primary Care Adolescent Depression Screening and Initial Management: A Quality Improvement Study.

Although recommended, adolescent depression screening with appropriate initial management is challenging. This project aimed to improve adolescent depression screening rates during preventive care visits in 12 primary care clinics from 65.4% to 80%, increase the proportion of documented initial management for those with a positive screen from 69.5% to 85%, then sustain improvements for 12 months. Methods: This quality improvement project involved 12 urban primary care clinics serving >120,000 mostly Medicaid-enrolled patients and targeted adolescents 12-17 years. Interventions included standardized depression screening using tablets with electronic health record (EHR) capture and automated scoring, embedding screening results and initial management actions into the EHR, provider education, and individual clinician and clinic performance feedback. Results: After standardizing the approach to screening, the process mean depression screening rate was 91.9%. However, after adopting tablets into the clinic flow, there was an unexpected initial decrease in proportion with appropriately documented initial management plans, from 89.7% to 67.6%. In response to this special cause variation, there was additional provider feedback and education, and a redesign of the EHR flow related to the presentation of results and prompts for action after a positive screen. As a result, the proportion with appropriately documented initial management was 87.3% by project completion. Conclusions: Tablet-based screening with EHR scoring capture effectively increased depression screening rates but required significant additional work to improve initial management after a positive screen. A full system approach, including EHR modification, clinician education, and performance feedback, is needed to make meaningful, sustained improvements in comprehensive adolescent depression screening.

On using 3D γ-analysis for IMRT and VMAT pretreatment plan QA.

PURPOSE: To investigate using 3D γ analysis for IMRT and VMAT QA. METHODS: We explored and studied 3D γ-analysis by comparing TPS computed and EPID back-projection reconstructed doses in patient's CT images. Two 3D γ quantities, γ(PTV) and γ(10), were proposed and studied for evaluating the QA results, and compared to 2D γ (MapCheck composite: γ(MC)). RESULTS: It was found that when 3%(global)/3 mm criteria was used, all IMRT and 90% of VMAT plans passed QA with a γ pass rate ≥90%. A significant statistical correlation was observed between 3D and 2D γ-analysis results for IMRT QA if γ(10) and γ(MC) are concerned, but no significant relation is found between γ(PTV) and γ(MC). CONCLUSIONS: 3D γ analysis based on EPID dose back-projection may provide a feasible tool for IMRT and VMAT pretreatment plan QA.