June 2025: Stratifying Risk for Postpartum Depression at Time of Hospital Discharge

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. Transcript 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.

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June 2025: Stratifying Risk for Postpartum Depression at Time of Hospital Discharge is an episode from American Journal of Psychiatry Audio by American Psychiatric Association Publishing.

This episode is 32:41 long.

This episode was published on Jun 1, 2025.

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