Dr. Vinod Rao (Massachusetts General Hospital, Boston) join AJP Audio to discuss predicting the relative risk of patients with an ADHD diagnosis developing a later stimulant or substance use disorder based on the method of prescription, in person or via telehealth. Afterwards, AJP Editor-in-Chief Dr. Ned Kalin discusses the rest of the August issue of the Journal.

• 00:07 Rao interview
• 01:53 Stimulant use disorder versus substance use disorder
• 02:59 Cohort size and incidence of SUDs
• 04:28 Length of clinician engagement in non-profit versus for profit hospital systems
• 05:18 Patient cohort
• 06:20 Potential difference in mechanism between prescribing practices
• 07:35 Continued use of telehealth
• 08:43 Limitations
• 10:03 Further research
• 11:17 Kalin interview
• 11:24 Rao et al.
• 15:41 Mahjani et al.
• 19:59 Zhang et al.
• 25:11 Sha et al.
• 29:33 Gao and Olfson

Transcript

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Dr. Tanner Bommersbach (University of Wisconsin School of Medicine and Public Health) and Dr. Greg Rhee (University of Connecticut and Yale University School of Medicine) join AJP Audio to discuss estimating national trends in suicidal ideation and attempts in high school students with and without accompanying high-risk behaviors. Afterwards, AJP Editor-in-Chief Dr. Ned Kalin discusses the rest of the July issue of the Journal.

• 00:07 Bommersbach and Rhee interview
• 00:36 Trends in suicide among high school students in the US
• 02:49 Variation in rates based on gender, racial identity, and sexuality
• 03:50 Did the rates increase during the COVID-19 pandemic?
• 04:14 Lessons to be learned from COVID?
• 05:23 Behavior risk factors
• 06:33 Clinical implications
• 08:19 Inflections in risk factors due to the pandemic?
• 08:52 Limitations
• 09:32 Future research
• 10:16 Kalin interview
• 10:31 Bommersbach et al.
• 14:20 Müller et al.
• 18:54 Ahn et al.
• 21:47 McCabe 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.

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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.

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