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Record W1990149643 · doi:10.1002/jts.20477

Effects of trauma‐focused psychotherapy upon war refugees

2009· article· en· W1990149643 on OpenAlexaff
Johannes Kruse, Ljiljana Joksimović, M Cavka, Wolfgang Wöller, Norbert Schmitz

Bibliographic record

VenueJournal of Traumatic Stress · 2009
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsMcGill UniversityDouglas Mental Health University Institute
Fundersnot available
KeywordsRefugeePsychiatryIntervention (counseling)Clinical psychologyPsychologyResidencePsychological traumaPosttraumatic stressMental healthGroup psychotherapyPsychotherapistDemography

Abstract

fetched live from OpenAlex

The aim of this study is to evaluate the effects of a trauma-focused psychotherapy upon war refugees from Bosnia. Seventy refugees who met the criteria for posttraumatic stress disorder (PTSD) and somatoform disorders were included. The first 35 refugees were offered psychotherapy and the following 35 refugees received usual care. Outcome variables were changes in self-reported PTSD symptoms, psychological symptoms, and health status. At 12-month follow-up, participants in the intervention group reported significantly lower scores on the PTSD scale and the measure of psychological symptoms than the comparison group participants. Our results suggest that psychotherapy reduces symptoms of PTSD and somatoform disorders among war refugees even in the presence of insecure residence status.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.019
GPT teacher head0.344
Teacher spread0.325 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations81
Published2009
Admission routes1
Has abstractyes

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