Prospective prediction of treatment outcomes in adolescents: A head-to-head comparison of alternative model for personality disorder versus borderline personality disorder.
Carla SharpPaulina KuleszSophie KerrPublished in: Personality disorders (2024)
Despite substantial evidence in support of the alternative model for personality disorder (AMPD) that has accumulated over the last decade, a gap remains in terms of head-to-head comparisons of the predictive power of Section II categorical diagnoses versus Section III AMPD diagnoses for clinical outcomes. The current study uses archival data from a naturalistic treatment outcome study in an adolescent psychiatric inpatient sample to compare the predictive power of the Section III AMPD (combined Criterion A and B assessment) versus Section II borderline personality disorder (BPD) in predicting treatment outcomes from admission to discharge. Outcomes in general psychiatric severity and emotion dysregulation were assessed in a sample of 59 adolescents (76.3% female, M age = 15.27, SD = 1.17) at admission and at discharge on average about a month later. Results showed that, on average, predictive power of both AMPD measures and BPD were relatively modest. However, the AMPD, operationalized through combined measures of identity diffusion and maladaptive traits, was a stronger predictor of reduction in general psychiatric severity than a measure of BPD. The findings of the study add to a growing body of literature pointing to the advantages of Section III AMPD over Section II categorical diagnosis for clinical utility in predicting treatment response. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
Keyphrases
- borderline personality disorder
- mental health
- young adults
- emergency department
- systematic review
- physical activity
- optic nerve
- type diabetes
- machine learning
- palliative care
- gene expression
- depressive symptoms
- skeletal muscle
- adipose tissue
- insulin resistance
- dna methylation
- deep learning
- genome wide
- optical coherence tomography