Psychotherapy for personality disorders
Bibliographic record
Abstract
Personality disorders are widely prevalent among those seeking mental health services, resulting in substantial distress and a heavy burden on public assistance and health resources. We conducted a qualitative review of randomized controlled trials (RCTs) of psychosocial interventions for personality disorders. Articles were identified through searches of electronic databases and classified based on the focus of the psychological intervention. Data regarding treatment, participants and outcomes were identified. We identified 33 RCTs that evaluated the efficacy of various psychosocial treatments. Of these studies, 19 focused on treatment of borderline personality disorder, and suggested that there are several efficacious treatments and one well-established treatment for this disorder. In contrast, only five RCTs examined the efficacy of treatments for Cluster C personality disorders, and no RCTs tested the efficacy of treatments for Cluster A personality disorders. Although other personality disorders, especially Cluster A, place heavy demands on public assistance, and in spite of recommendations that psychosocial interventions should be the first line of treatment for these disorders, our review underscored the dearth of treatment research for many of these personality disorders. We highlight some obstacles to such research and suggest directions for future research.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.011 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".