Psychotherapy Patients of Psychiatry Residents: A Descriptive Study
Bibliographic record
Abstract
OBJECTIVE: Psychiatry residents learn psychodynamic psychotherapy for generalizable skills and as a transdiagnostic, long-term treatment indicated for patients with chronic mood, anxiety, or personality disorders. It is unknown how these indications align with actual patients of trainees. The aim of this descriptive study was to define characteristics of outpatients receiving psychodynamic psychotherapy from psychiatry residents. METHODS: Case reports (N=204) from 184 psychiatry residents were analyzed for patients' diagnoses and past treatments. RESULTS: Eighty-six percent of patients had prior psychiatric medication or treatment, 31% had three or more past courses of psychotherapy, and 48% had two or more diagnoses, including depression (62%), anxiety (46%), and personality disorders or traits (27%). CONCLUSIONS: Patients receiving psychodynamic psychotherapy from psychiatry residents had multiple psychiatric illnesses and a history of prior treatments that had not achieved or sustained recovery, suggesting complex and chronic illness. Consistent with community-based findings, these patient characteristics correspond with psychodynamic psychotherapy treatment indications.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".