58: A Survey of Behavioral Health Care Providers on Use and Barriers to Use of Measurement-Based Care
Listen now
Description
Breanna C. Keepers, M.D., M.B.A., and Ish P. Bhalla, M.D., M.S., join Dr. Dixon and Dr. Berezin to discuss the results of a survey of mental healthcare providers and their usage of measurement-based care.  Dr. Keepers is in the Department of Psychiatry at New York-Presbyterian Hospital, and Dr. Bhalla is Medical Director of Behavioral Health Value Transformation at Blue Cross-Blue Shield of North Carolina. •    Keepers and Bhalla interview [00:50] •    Incentivizing provider behavior changes [03:01] •    Measurement instruments [05:30] •    Measurement-based care from the care recipient’s perspective [06:27] •    Study design [09:16] •    Clinical utility and measurement-based care [11:31] •    Are we using the right measure? [14:45] •    Heterogeneity in provider perceptions of measurement-based care [16:08] •    Training providers [17:25] •    Providing care is hard [19:36] •    What’s next for your research? [22:10] Transcript Subscribe to the podcast here. Check out Editor's Choice, a set of curated collections from the rich resource of articles published in the journal. Sign up to receive notification of new Editor's Choice collections. Browse other articles on our website. Be sure to let your colleagues know about the podcast, and please rate and review it wherever you listen to it. Listen to other podcasts produced by the American Psychiatric Association. Follow the journal on Twitter. E-mail us at [email protected]
More Episodes
Elizabeth Bromley, M.D., Ph.D. (University of California, Los Angeles) joins Dr. Dixon and Dr. Berezin to discuss the use of outpatient conservatorship in the effort to address mental health disability among unsheltered homeless persons in Los Angeles County, California. 00:00    Introduction...
Published 04/17/24
Gregory E. Simon, M.D., M.P.H. (Kaiser Permanente Washington Health Research Institute, Seattle) join Dr. Dixon and Dr. Berezin to discuss the use of machine learning models to analyze electronic health records to predict antidepressant treatment response. 00:00     Introduction 02:31    Focus...
Published 02/21/24