Treatment dropout is high among outpatients with borderline personality disorder (BPD) and is associated with myriad negative therapeutic and psychosocial outcomes. Identifying predictors of treatment dropout can inform treatment provision for this population. The present study investigated whether symptom profiles of static and dynamic factors could predict treatment dropout. Treatment-seeking outpatients with BPD ( = 102) completed pre-treatment measures of BPD symptom severity, emotion dysregulation, impulsivity, motivation, self-harm, and attachment style to determine their collective impact on dropout prior to 6 months of treatment. Discriminant function analysis was used to classify group membership (treatment dropout vs. nondropout) but did not produce a statistically significant function. Groups were distinguished by baseline levels of emotion dysregulation with higher dysregulation predicting premature treatment dropout. Clinicians working with outpatients with BPD might benefit from optimizing emotion regulation and distress tolerance strategies earlier in treatment to reduce premature dropout. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
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