• Thursday, October 4th 2018 at 15:00 - 16:00 UTC (Other timezones)
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In this webinar, I will discuss research aimed at identifying pre-treatment predictors of symptom improvement in psychotherapeutic and pharmacological treatments for depression. Greater knowledge of variables predicting better or worse treatment response prior to the start of treatment may have important clinical implications regarding which interventions are best suited for whom, thus informing treatment selection. In current clinical practice, treatment selection for depressed individuals is largely based on trial-and-error and clinician/patient preference. Rates of non-response to first line depression treatment in primary care are high (~ 70%), resulting in protracted depressive episodes until an adequate treatment is found. Consistent with the goals of precision medicine, my more recent research is aimed at developing actionable, algorithm-guided treatment recommendations to improve outcomes for depressed individuals by matching them to their optimal intervention.

 

Christian A. Webb, Ph.D.

Assistant Professor
Department of Psychiatry
Harvard Medical School

Director, Treatment and Etiology of Depression in Youth Laboratory
Center for Depression, Anxiety & Stress Research
McLean Hospital

 

Christian Webb – Personalized Prediction of Treatment Outcome in Depression