OBJECTIVE: To assess the predictors of treatment outcome across treatments, as well as those associated with differential treatment response. METHOD: One hundred seven adolescent outpatients, aged 13 to 18 years, withDSM-III-R major depression were randomly assigned to one of three manual-based, brief (12 to 16 sessions) psychosocial treatments: cognitive-behavioral therapy (CBT), systemic-behavioral family therapy, or nondirective supportive therapy. Those with good and poor outcomes were compared. RESULTS: Continued depression was predicted by clinical referral (versus via advertisement) and was in part mediated by hopelessness. Other predictors of depression were comorbid anxiety disorder and higher levels of cognitive distortion and hopelessness at intake. Achievement of clinical remission was predicted by a higher level of self-reported depression. Poorer functional status was predicted by a higher level of initial interviewer-rated depression. Comorbid anxiety and maternal depressive symptoms predicted differential treatment efficacy. CBT's performance continued to be robust with respect to nondirective supportive therapy, even in the presence of the above-noted adverse predictors. CONCLUSION: Predictors of poor outcome may give clues as to how to boost treatment response. Subjects who come to treatment for clinical trials via advertisement (versus clinical referral) may show more favorable treatment responses. CBT is likely to be a robust intervention even in more complex and difficult-to-treat patients.
RCT Entities:
OBJECTIVE: To assess the predictors of treatment outcome across treatments, as well as those associated with differential treatment response. METHOD: One hundred seven adolescent outpatients, aged 13 to 18 years, with DSM-III-R major depression were randomly assigned to one of three manual-based, brief (12 to 16 sessions) psychosocial treatments: cognitive-behavioral therapy (CBT), systemic-behavioral family therapy, or nondirective supportive therapy. Those with good and poor outcomes were compared. RESULTS: Continued depression was predicted by clinical referral (versus via advertisement) and was in part mediated by hopelessness. Other predictors of depression were comorbid anxiety disorder and higher levels of cognitive distortion and hopelessness at intake. Achievement of clinical remission was predicted by a higher level of self-reported depression. Poorer functional status was predicted by a higher level of initial interviewer-rated depression. Comorbid anxiety and maternal depressive symptoms predicted differential treatment efficacy. CBT's performance continued to be robust with respect to nondirective supportive therapy, even in the presence of the above-noted adverse predictors. CONCLUSION: Predictors of poor outcome may give clues as to how to boost treatment response. Subjects who come to treatment for clinical trials via advertisement (versus clinical referral) may show more favorable treatment responses. CBT is likely to be a robust intervention even in more complex and difficult-to-treat patients.
Authors: David A Brent; Steven M Brunwasser; Steven D Hollon; V Robin Weersing; Gregory N Clarke; John F Dickerson; William R Beardslee; Tracy R G Gladstone; Giovanna Porta; Frances L Lynch; Satish Iyengar; Judy Garber Journal: JAMA Psychiatry Date: 2015-11 Impact factor: 21.596
Authors: Erin B McClure; Abby Adler; Christopher S Monk; Jennifer Cameron; Samantha Smith; Eric E Nelson; Ellen Leibenluft; Monique Ernst; Daniel S Pine Journal: Psychopharmacology (Berl) Date: 2006-09-14 Impact factor: 4.530
Authors: Autumn Kujawa; Katie L Burkhouse; Shannon R Karich; Kate D Fitzgerald; Christopher S Monk; K Luan Phan Journal: J Child Adolesc Psychopharmacol Date: 2019-05-07 Impact factor: 2.576
Authors: Manivel Rengasamy; Brandon M Mansoor; Robert Hilton; Giovanna Porta; Jiayan He; Graham J Emslie; Taryn Mayes; Gregory N Clarke; Karen Dineen Wagner; Martin B Keller; Neal D Ryan; Boris Birmaher; Wael Shamseddeen; Joan Rosenbaum Asarnow; David A Brent Journal: J Am Acad Child Adolesc Psychiatry Date: 2013-04 Impact factor: 8.829