Abstract: Examining Non-Responders to School-Based Depression Prevention Programs: IPT-AST and School Counseling (Society for Prevention Research 21st Annual Meeting)

86 Examining Non-Responders to School-Based Depression Prevention Programs: IPT-AST and School Counseling

Schedule:
Wednesday, May 29, 2013
Pacific N/O (Hyatt Regency San Francisco)
* noted as presenting author
Jami Finkelson Young, PhD, Assistant Professor of Clinical Psychology, Rutgers University, Piscataway, NJ
Dana Sheshko, BA, Research Assistant, Rutgers University, Piscataway, NJ
Caroline A. Haimm, BA, Doctoral Student, Rutgers University, Highland Park, NJ
Sarah Shankman, PhD, Faculty, Rutgers University, Piscataway, NJ
Robert Gallop, PhD, Professor of Statistics, West Chester University, West Chester, PA
Background: In recognition of the considerable risk and impairment associated with elevated depressive symptoms in adolescence, there has been a call for an increase in indicated preventive intervention research. Interpersonal Psychotherapy-Adolescent Skills Training (IPT-AST; Young & Mufson, 2003) is a promising school-based indicated preventive intervention. We have conducted two small-scale randomized controlled trials comparing IPT-AST to usual school counseling (SC). Both studies found significant effects on depression symptoms, depression diagnoses, and overall functioning (Young, Mufson, & Davies, 2006; Young, Mufson, & Gallop, 2010).  While these results are encouraging, it is also important to examine the subset of adolescents who did not respond favorably to IPT-AST, as well as non-responders to SC.

Methods/Results: This poster will present analyses that examine predictors of non-response using data from both studies. In the first study, 41 adolescents were randomized to IPT-AST or SC and were followed for 12-months following the intervention. In the second study, 57 adolescents were randomized to IPT-AST and SC and were followed for 18-months following the intervention. First, we will identify adolescents who did not respond to the interventions, as defined by an increase in depressive symptoms from pre-intervention through follow-up or the diagnosis of a depressive episode during the follow-up period. Next, we will identify the pre-intervention characteristics (e.g., demographic variables, baseline measures) and intervention variables (e.g., session attendance, intervention satisfaction) that predict non-response. Finally, we will conduct a qualitative case review of non-responders to understand other variables in combination with the predicted demographic and baseline clinical measures that may explain intervention non-response.

Conclusions: These investigations can improve our understanding of adolescents for whom school-based depression prevention programs may not work and can highlight important avenues for program development.