Abstract
This study expands our understanding of treatment attrition by investigating factors predicting treatment dropout in a large national data set of clinic-referred children and parents seeking trauma-specific psychotherapy services. Using de-identifed data (N = 2,579) generated by the National Child Traumatic Stress Network Core Data Set collected between spring 2004 and fall 2010, the study uses sequential logistic regression analyses to assess prediction of the probability of a given subject having prematurely dropped out of treatment. The findings of this study suggest that African American race, placement in state custody, and a diagnosis of posttraumatic stress disorder, oppositional defiant disorder, and major depressive disorder predict treatment attrition. Based on the findings of this study, dropout management recommendations are made, as are implications for further research and ongoing practice.
| Original language | English |
|---|---|
| Pages (from-to) | 28-40 |
| Number of pages | 13 |
| Journal | Traumatology |
| Volume | 19 |
| Issue number | 1 |
| DOIs | |
| State | Published - Mar 2013 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- PTSD\TBI
- anxiety disorders
- clinical interventions
- confounding issues
- depression
- substance abuse
ASJC Scopus subject areas
- General Nursing
- Emergency Medicine
- Public Health, Environmental and Occupational Health
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