A preliminary evaluation of the effectiveness of dialectical behaviour therapy in a forensic psychiatric setting
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Dialectical behaviour therapy (DBT) is a therapy model incorporating elements of Eastern philosophies and cognitive behavioural principles. Originally designed for people struggling with chronic suicidality and borderline personality disorder (BPD), it has been adapted to treat complex, multi-diagnostic presentations, such as those in forensic mental health settings. To date, there has been little evaluation when the primary diagnosis is of psychosis. To explore the effectiveness of DBT, with patients, with multiple comorbidities, including psychosis, in a forensic psychiatric inpatient setting. A descriptive outcome study with a cohort of offender-patients in one specialist forensic mental health unit. Before and after treatment change scores were compared on anger, aggression, hopefulness, coping abilities, emotional intelligence, insight and subjective symptom severity scales, as well as staff-rated risk, and length of stay. Nine men and five women residents in one Canadian secure hospital completed a standard DBT programme, and self-ratings, over about 1 year. Scale scores indicated significantly increased insight and acknowledgment of problems. Apparently increased anger and vengeance scores were clinically associated. Independent staff ratings indicated reductions in risk and most patients achieved early release. This study provides support for extension of the use of DBT to offender-patients with psychosis among the complex mix in their presentation. It suggests that a randomised controlled trial with cost-benefit analysis is warranted, as well as further work, to promote understanding of mechanisms of effectiveness.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it