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Psychotherapy Patients of Psychiatry Residents: A Descriptive Study

2020· article· en· W3008551828 on OpenAlex
L. Rex Kay, Tatjana Kay, Andrea Lawson, Meghan Hunter, Paula Ravitz

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAmerican Journal of Psychotherapy · 2020
Typearticle
Languageen
FieldPsychology
TopicPersonality Disorders and Psychopathology
Canadian institutionsSinai Health System
Fundersnot available
KeywordsAnxietyPsychodynamicsPsychiatryPsychodynamic psychotherapyPersonality disordersMoodDepression (economics)PersonalityPsychotherapistPsychologyMood disordersClinical psychologyMedicine

Abstract

fetched live from OpenAlex

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.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.076
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.023
GPT teacher head0.328
Teacher spread0.305 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it