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Record W4281476360 · doi:10.1080/20008198.2022.2068911

A brief transdiagnostic psychological intervention for Afghan asylum seekers and refugees in Austria: a randomized controlled trial

2022· article· en· W4281476360 on OpenAlexaff
Matthias Knefel, Viktoria Kantor, Dina Weindl, Jennifer Schieß-Jokanovic, Andrew A. Nicholson, Lucia Verginer, Ingo Schäfer, Brigitte Lueger‐Schuster

Bibliographic record

VenueEuropean journal of psychotraumatology · 2022
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsMcMaster University
Fundersnot available
KeywordsRefugeeMental healthGeneral Health QuestionnaireClinical psychologyAnxietyRandomized controlled trialPsychiatryPsychological interventionPsychologyDistressIntervention (counseling)MedicineQuality of life (healthcare)Psychotherapist

Abstract

fetched live from OpenAlex

Background: Afghan refugees often face hardship and traumatic experiences before, during, and after migration and frequently suffer from mental health burdens. Evidence based psychological treatments for refugees mostly focus on symptoms of posttraumatic stress disorder (PTSD), however, refugees often suffer from a variety of general health problems as well as depression and anxiety. We thus aimed to evaluate the effectiveness of a transdiagnostic psychological intervention.Objective: To investigate the effectiveness of an adapted version of Problem Management Plus (aPM+) delivered by mental health professionals to adult Afghan refugees and asylum seekers.Methods: We randomly allocated 88 Afghan refugees either to aPM+ in addition to treatment as usual (aPM+/TAU) or TAU alone. APM+ comprises of six weekly 90-minute individual sessions including strategies of stress management, problem solving, behavioural activation, strengthening social support and either anger regulation or increasing self-efficacy. The primary outcome was general health (GHQ-28) post intervention. Secondary outcome measures included distress by PMLD, Complex PTSD symptoms, quality of life, self-identified problems, and integration.Results: Attrition was high: 42% of the randomized participants did not participate in the post-treatment assessment. A repeated measures per-protocol (completers only) ANCOVA evidenced a significant group × timepoint interaction for GHQ total scores [F(1, 47) = 14.80, p < .001, partial η2 = 0.24]. Post-hoc analyses showed significantly lower symptoms in the aPM+/TAU arm (n = 26) as compared to the TAU arm (n = 25) for the GHQ total scores (dz = 1.04). Most secondary outcomes significantly improved in the aPM+/TAU arm, but not in the TAU arm.Conclusion: APM+ was effective in reducing general health problems in Afghan refugees and might be considered as a first-line intervention. High drop-out rate limit the interpretations of our results, where future investigations should focus on possibilities to reduce these rates.Trial registration: Uniform Trial Number identifier: U1111-1226-3285.HIGHLIGHTS Refugees’ mental health can be strengthened with a brief psychological intervention that also focuses on skills in the context of post-migration stressors.High drop-out rates are a major challenge for future research and delivery of psychological interventions as part of health care systems to refugees and asylum seekers.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0110.001

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 head0.028
GPT teacher head0.354
Teacher spread0.326 · 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 designRandomized trial
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

Citations41
Published2022
Admission routes1
Has abstractyes

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