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Record W4283758775 · doi:10.1002/cpp.2769

Change processes in psychotherapy for patients presenting with histrionic personality disorder

2022· article· en· W4283758775 on OpenAlexaff
Anna Babl, Juan Martín Gómez Penedo, Thomas Berger, Noemi Schneider, Rainer Sachse, Uëli Kramer

Bibliographic record

VenueClinical Psychology & Psychotherapy · 2022
Typearticle
Languageen
FieldPsychology
TopicPersonality Disorders and Psychopathology
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsPsychologyPsychotherapistClinical psychologyPersonalityMultilevel modelOutcome (game theory)Therapeutic relationship

Abstract

fetched live from OpenAlex

OBJECTIVE: Histrionic personality disorder (HPD) with a lifetime prevalence rate of 1.8% is an under-researched psychiatric diagnosis. The present study therefore aimed to investigate both the processes and outcomes of psychotherapy for HPD in a non-controlled study. METHODS: A total of 159 patients diagnosed with HPD were recruited and received clarification-oriented psychotherapy. Sessions 15, 20, and 25 were video-recorded and analysed using the Process-Content-Relationship Scale. Therapy outcome was assessed with symptom measures at intake and discharge. Hierarchical linear modelling was applied to estimate the changes in the psychotherapeutic outcome and associations with patient and therapist process developments. RESULTS: Improvements in relationship processes of patients and therapists were systematically related to outcome while only partial relationships were found on the levels of process and content. CONCLUSION: The present study represents the first systematic insight into core changes in patients with HPD undergoing psychotherapy.

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.

How this classification was reachedexpand

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)0.002
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 score0.437
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.137
GPT teacher head0.459
Teacher spread0.322 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations5
Published2022
Admission routes1
Has abstractyes

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