Research Article

Evaluating Culturally Adapted Digital Mental Health Interventions: A Randomized Controlled Trial Among Afghan Asylum Seekers in Germany

131 reads
Jo On Re Mi St, 2026, 1 (1), 16-21, ISSN

Abstract

Asylum seekers from Afghanistan face heightened risks of post-traumatic stress disorder (PTSD), depression, and anxiety due to severe pre-migration trauma compounded by post-migration stressors in host countries. However, structural, linguistic, and cultural barriers severely restrict access to mainstream mental health services in Germany. This randomized controlled trial (RCT) evaluated the efficacy of a culturally adapted, smartphone-delivered mental health application ("Roshani") tailored for Dari- and Pashto-speaking Afghan asylum seekers. A total of 164 adult participants residing in initial reception centers across North Rhine-Westphalia were randomly assigned to either the 6-week digital intervention group (n = 82) or a waitlist control group receiving treatment-as-usual (n = 82). Primary outcomes were depressive symptoms measured by the Patient Health Questionnaire-9 (PHQ-9) and PTSD symptoms measured by the PTSD Checklist for DSM-5 (PCL-5), assessed at baseline, post-intervention (week 6), and 3-month follow-up (week 18). Intention-to-treat linear mixed-effects models revealed significant group-by-time interaction effects favoring the intervention group, with moderate-to-large effect sizes for depression (Cohen's d = 0.68) and PTSD symptoms (Cohen's d = 0.59) at post-treatment, which were sustained at follow-up. Secondary outcomes demonstrated marked improvements in psychological well-being and reductions in somatic distress. High engagement was facilitated by audio-integrated features addressing varied literacy levels and cultural idioms of distress. These findings demonstrate that culturally adapted digital interventions can effectively bridge critical mental healthcare gaps for newly arrived displaced populations, offering a scalable, low-threshold supplementary intervention within host-country reception infrastructure.

Keywords randomized controlled trial cultural adaptation digital mental health Afghan asylum seekers refugee PTSD and depression
Authors 3

The team behind this paper

3 authors, 3 institutions.

This paper University of Ibadan — Nigeria University of Ibadan 1 author Charles University Charles University 1 author American University of Beirut — Lebanon American University of … 1 author Prof. Amara Okafor — corresponding author AO Prof. Amara Okafor ✉ Dr. Elena Rostova ER Dr. Elena Rostova Dr. Tariq Al-Mansoor TA Dr. Tariq Al-Mansoor

Readership

131 reads over 4 months.

#2 most read in this journal this month
August 2026 November 2026

Bibliographic Information

Prof. Amara Okafor, Dr. Elena Rostova, Dr. Tariq Al-Mansoor, (2026). Evaluating Culturally Adapted Digital Mental Health Interventions: A Randomized Controlled Trial Among Afghan Asylum Seekers in Germany, SciMatic Journal of Ongoing Refugee and Migration Studies, 1(1): 16-21
Bibtex Citation
@article{prof._amara_okafor2026jorms,
author = {Prof. Amara Okafor and Dr. Elena Rostova and Dr. Tariq Al-Mansoor},
title = {Evaluating Culturally Adapted Digital Mental Health Interventions: A Randomized Controlled Trial Among Afghan Asylum Seekers in Germany},
journal = {SciMatic Journal of Ongoing Refugee and Migration Studies},
year = {2026},
volume = {1},
number = {1},
pages = {16-21},
doi = {},
url = {https://scimatic.org/show_manuscript/8935}
}
APA Citation
Okafor, P.A., Rostova, D.E., Al-Mansoor, D.T., (2026). Evaluating Culturally Adapted Digital Mental Health Interventions: A Randomized Controlled Trial Among Afghan Asylum Seekers in Germany. SciMatic Journal of Ongoing Refugee and Migration Studies, 1(1), 16-21. https://doi.org/

Author Information

  • To change your profile photo, login to scimatic.org, go to your profile and change the photo.
  • Any photo that shows your face will do: we crop it to your head and shoulders and give it a plain background automatically.
  • To sign in, go to Sign in and enter the e-mail address registered with the article: we e-mail you a one-time sign-in link (there is no password).
  • In case of any other problem, contact your editor directly or write to us at info @ scimatic.org