Measurement-Based Care in Community Mental Health-Lecture Presentation

Video Transcription

Video Summary

In this video, Dr. Lori Rainey discusses measurement-based care in community mental health centers. Measurement-based care involves systematic administration of symptom rating scales to drive clinical decision-making and improve patient outcomes. Dr. Rainey emphasizes the importance of using brief, easy-to-score tools that are non-proprietary. She provides examples of measurement tools for depression, anxiety, psychotic disorders, and substance use disorders. Dr. Rainey also highlights the need to measure physical symptoms and shares examples of cardiovascular risk factors that can be tracked. She discusses the importance of developing a workflow that includes screening, diagnosis, treatment, and measuring response over time. Dr. Rainey suggests using registries to track and aggregate data, ensuring that no patients fall through the cracks. She explains how data from registries can be used to identify gaps in care, set goals, and monitor outcomes. Dr. Rainey encourages clinics to share aggregated results with providers and use them to guide quality improvement efforts. She also discusses the potential of value-based payment models for behavioral health and the importance of demonstrating outcomes and cost savings. Overall, Dr. Rainey encourages clinics to embrace measurement-based care as a win for patients, providers, and payers.

Keywords

measurement-based care

symptom rating scales

patient outcomes

depression

anxiety

substance use disorders

registries

value-based payment models