Therapist Adherence to Good Psychiatric Practice in a Short-Term Treatment for Borderline Personality Disorder
Bibliographic record
Abstract
Therapist adherence describes the quality of interventions according to the imperatives of a treatment model. We examined the relationship between therapist adherence and symptom change in the context of a short-term treatment with respect good psychiatric management (GPM) principles. Based on a parent trial, borderline personality disorder patients (N = 40) benefited from a 10-session intervention. Adherence to GPM was assessed using a GPM Adherence Scale (GPMAS). The psychometric properties of the GPMAS were excellent, and the adherence to GPM explained 16% of the general symptom improvement (t(1) = 2.38, β = 0.40, p = 0.02) and 23% of the borderline symptom improvement (t(1) = 2.46, β = 0.48, p = 0.02). Because GPM adherence predicts the outcome after only 10 sessions, GPMAS is a valuable measure early on in psychiatric practice as part of an initial step to longer-term treatment, to quickly detect problems and correct them.
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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 | 0.000 | 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 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".