Evidence map›Paper›PMID 38167060›Full record

ArticleTrials2024

Internet-based transdiagnostic treatment for emotional disorders in Arabic- and Farsi-speaking refugees: study protocol of a randomized controlled trial.

Johanna Boettcher, Manuel Heinrich, Maria Boettche, Sebastian Burchert, Heide Glaesmer, Euphrosyne Gouzoulis-Mayfrank, Carina Heeke, Martina Hernek, Christine Knaevelsrud, Alexander Konnopka and 11 more

Abstract readClinical Trial Protocol
PubMed Full text at PMC Publisher
In one paragraph

Article in Trials, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

21 authors.

Johanna BoettcherClinical Psychology and Psychotherapy, Freie Universitaet Berlin, Berlin, Germany. johanna.boettcher@fu-berlin.de.ORCID http://orcid.org/0000-0002-8220-9291
Manuel HeinrichClinical Psychological Intervention, Freie Universitaet Berlin, Berlin, Germany.
Maria BoettcheClinical Psychological Intervention, Freie Universitaet Berlin, Berlin, Germany.
Sebastian BurchertClinical Psychological Intervention, Freie Universitaet Berlin, Berlin, Germany.
Heide GlaesmerMedical Psychology and Medical Sociology, University of Leipzig, Leipzig, Germany.
Euphrosyne Gouzoulis-MayfrankSection of Healthcare Research, LVR-Institute for Research and Education, Cologne, Germany.
Carina HeekeClinical Psychological Intervention, Freie Universitaet Berlin, Berlin, Germany.
Martina HernekClinical Psychology and Psychotherapie, Freie Universitaet Berlin, Berlin, Germany.
Christine KnaevelsrudClinical Psychological Intervention, Freie Universitaet Berlin, Berlin, Germany.
Alexander KonnopkaHealth Economics and Health Services Research, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Louisa MuntendorfHealth Economics and Health Services Research, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Hannah NillesClinical Psychology and Psychotherapy, Medical School Berlin, Berlin, Germany.
Laura NohrClinical Psychological Intervention, Freie Universitaet Berlin, Berlin, Germany.
Steffi PohlMethods and Evaluation/Quality Assurance, Freie Universitaet Berlin, Berlin, Germany.
Sophia PaskuyClinical Psychology and Psychotherapy, Medical School Berlin, Berlin, Germany.
Isabelle ReinhardtSection of Healthcare Research, LVR-Institute for Research and Education, Cologne, Germany.
Susan SierauMedical Psychology and Medical Sociology, University of Leipzig, Leipzig, Germany.
Nadine StammelClinical Psychological Intervention, Freie Universitaet Berlin, Berlin, Germany.
Christina WirzClinical Psychology and Psychotherapie, Freie Universitaet Berlin, Berlin, Germany.
Babette RennebergClinical Psychology and Psychotherapie, Freie Universitaet Berlin, Berlin, Germany.
Birgit WagnerClinical Psychology and Psychotherapy, Medical School Berlin, Berlin, Germany.

Funding

Bundesministerium für Bildung und Forschung 01EF1806F
6 · The paper itself

Abstract

backgroundRefugee populations have an increased risk for mental disorders, such as depression, anxiety, and posttraumatic stress disorders. Comorbidity is common. At the same time, refugees face multiple barriers to accessing mental health treatment. Only a minority of them receive adequate help. The planned trial evaluates a low-threshold, transdiagnostic Internet-based treatment. The trial aims at establishing its efficacy and cost-effectiveness compared with no treatment.

methodsN = 131 treatment-seeking Arabic- or Farsi-speaking patients, meeting diagnostic criteria for a depressive, anxiety, and/or posttraumatic stress disorder will be randomized to either the intervention or the waitlist control group. The intervention group receives an Internet-based treatment with weekly written guidance provided by Arabic- or Farsi-speaking professionals. The treatment is based on the Common Elements Treatment Approach (CETA), is tailored to the individual patient, and takes 6-16 weeks. The control group will wait for 3 months and then receive the Internet-based treatment. DISCUSSION: The planned trial will result in an estimate of the efficacy of a low-threshold and scalable treatment option for the most common mental disorders in refugees.

trial registrationGerman Registry for Clinical Trials DRKS00024154. Registered on February 1, 2021.

Indexed as

RefugeesStress Disorders, Post-TraumaticAnxiety DisordersHumansMood DisordersPsychotherapyRandomized Controlled Trials as TopicTreatment OutcomeApp basedCognitive-behavioralCommon elements treatment approachRefugeeTailored

Identifiers

PMID38167060
PMCPMC10759366

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.