Using Technology to Support Measurement-Based Care: Design and Implementation of the Measurement-Assisted Care Program.

Abstract

Objective: The authors aimed to increase measurement-based care in an outpatient academic psychiatry service.

Methods: The Measurement-Assisted Care program (MAC) was implemented as a clinical quality-improvement effort that included 4,665 unique patients and 176 clinicians over 12 months. The Patient Health Questionnaire-9 (PHQ-9), Generalized Anxiety Disorder scale (GAD-7), PTSD Checklist for DSM-5, and Brief Inventory of Thriving were automatically included in the patient electronic check-in process for new visits; the PHQ-9 and GAD-7 were included for return visits. Patient responses were automatically routed to clinicians' electronic health record inboxes and documentation templates. MAC was rolled out in two phases, and clinicians were surveyed about their use of MAC data 3-6 months after the start of the program.

Results: After implementation of MAC, PHQ-9 completion rates increased from 5% to 66% of visits for phase 1 and from 5% to 60% for phase 2. Post-MAC completion rates were higher for telehealth (70%) than for in-person (40%) visits. More than 90% of clinicians reported that MAC was useful with at least one of their three most recent patients, and 51% reported that it was useful with all three of their three most recent patients. Clinician adoption was high, with 78% reporting that they use MAC data to guide care.

Conclusions: MAC increased the completion rate of patient-reported outcome measures, especially for telehealth visits. Clinicians reported that they frequently use and discuss MAC data with patients, implying that technology-supported workflows can help systems with high telehealth utilization capture and use patient-reported outcomes.