Implementation of an intensive short-term dynamic treatment program for patients with treatment-resistant disorders in residential care
Bibliographic record
Abstract
BACKGROUND: This protocol presents a systematic residential treatment- and research program aimed at patients who have not responded adequately to previous treatment attempts. Patients included in the program primarily suffer from anxiety and/or depressive disorders and usually from one or more comorbid personality disorders. The treatment program is time-limited (eight weeks) and has its basis in treatment principles specified in intensive short-term dynamic psychotherapy (ISTDP). This treatment modality is theoretically well-suited for the handling of various forms of treatment resistance presumably central to these patients' previous non-response to psychological and psychiatric interventions. METHODS/DESIGN: The research component of the project entails a naturalistic longitudinal research design which aims at systematic evaluation of the effectiveness of the program. To our knowledge, this is one of the first treatment programs and corresponding research projects that systematically select patients with previous non- or negative response to treatment and subjects them to a broad and comprehensive, but theoretically unified and consistent treatment system. DISCUSSION: The present paper introduces the project, describes its theoretical and methodological underpinnings, and discusses possible future implications and contributions of the project. It thereby serves as a comprehensive background reference to future publications from the project.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.017 | 0.002 |
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 source (direct Gemma or distilled Codex), 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".