Section - Video Lectures

01. Psychotic Depression and Algorithm for Treatment

Published on September 1, 2021 Expired on April 1, 2024

David Osser, M.D.

Associate Professor of Psychiatry - Harvard Medical School

Key Points

Psychotic depression is to be specified for major depression.
It is a more severe form of depression and has a greater risk for suicide.
Prognosis for recovery compared with nonpsychotic depression is similar.
The diagnosis requires patients meet the criteria for MDD and delusions or hallucinations.
The diagnosis may evolve into schizophrenia or schizoaffective disorder.

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Slides and Transcript

Slide 1 of 13

Hello everyone. This is David Osser and I'm about to present another of a series of psychopharmacology algorithms for the Psychopharmacology Institute. I am an Associate Professor of Psychiatry at Harvard Medical School and work at the VA Boston Healthcare System-Brockton Division where I run the Domiciliary Care for Homeless Veterans and also in half of my time I'm a national consultant and co-lead psychiatrist on the Bipolar Telehealth Program where we do consultations around the United States in different VAs on people who have problems with diagnosing and treating their bipolar disorder.

Psychotic Depression and Algorithm for Treatment Slide 1 of 13

Slide 2 of 13

So, my topic today is psychotic depression. We've already discussed previously major depression and you have other presentations on bipolar depression but today we're going to focus on psychotic depression and the algorithm for the psychopharmacology of that. And this is from the Psychopharmacology Algorithm Project at the Harvard South Shore Psychiatry Residency Training and our website is psychopharm.mobi. So, I'm going to begin with video 1 of this series of videos to present the entire algorithm and this video is on diagnosis of major depressive disorder with psychotic features. That's how it's described in the DSM-5.

Psychotic Depression and Algorithm for Treatment Slide 2 of 13

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02. Node 1: ECT for Severely Ill Patients

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