June 2025: Stratifying Risk for Postpartum Depression at Time of Hospital Discharge
Description
Dr. Roy Perlis (Mass General Bringham, Boston) joins AJP Audio to discuss a machine learning model to examine electronic health records in individuals who had recently given birth designed to detect those who might develop postpartum depression. Afterwards, AJP Editor-in-Chief Dr. Ned Kalin puts the rest of the June issue into context.
- 00:31 Perlis interview
- 02:56 Lack of validation in screening methods
- 04:03 Stumbling blocks on the road to validation
- 05:10 Synergy between screening scores and machine learning models
- 06:36 Issues with clinician adoption?
- 08:44 Administrative burden for running these models
- 10:38 Current clinical application
- 12:37 Screening without those with a history of depression
- 13:48 Limitations
- 15:30 Future research
- 17:26 Kalin interview
- 17:41 Clapp et al.
- 21:41 Kępińska et al.
- 25:19 Savitz et al.
- 25:25 Miller
- 28:38 Wall et al.
Be sure to let your colleagues know about the podcast, and please rate and review it on Apple Podcasts, Google Podcasts, Spotify, or wherever you listen to it.
Subscribe to the podcast here.
Listen to other podcasts produced by the American Psychiatric Association.
Browse articles online.
How authors may submit their work.
Follow the journals of APA Publishing on Twitter.
E-mail us at ajp@psych.org
United States
