Arabic-language digital interventions for depression in German routine health care are acceptable, but intervention adoption remains a challenge.
Hanna ReichUlrich HegerlAnja RosenthalCaroline AllenhofPublished in: Scientific reports (2024)
Migrants face many barriers to mental health care, such as different cultural concepts of distress, unfamiliar pathways to care, and language. Digital mental health interventions are effective and scalable in multi-language versions. However, their implementation into routine care is in its infancy. Here, we report on the Arabic- and German-language implementation of two digital interventions in Germany: The iFightDepression ® website, providing information about depression to the public, and the iFightDepression ® tool, offering guided self-management for depression. Our main goal is to gain empirical knowledge about the success of their implementation and provide evidence-based recommendations for improvement. Data for the current analyses stem from convenience samples, utilizing anonymized user logs of the iFightDepression ® website and 15.307 user accounts in the iFightDepression ® tool. We found that the acceptability (time on page, usage behavior) of both digital interventions was comparable between the two user groups. The website pervasiveness of the target populations was nine times lower among Arab migrants in Germany than Germans (89 vs. 834 unique page views/ 100,000 inhabitants), but the increase in views was superior and sustained over three years. The adoption of the tool was lower among Arabic than German users (conversion rate from invitation to completed registration: 30.8% vs. 59.0%, p < 0.001) and appropriateness was challenged as Arabic users reported higher depression severities upon first registration (p = 0.027). Our results show that the uptake of digital interventions for migrants requires facilitation and further tailoring to the needs of the target group.
Keyphrases
- healthcare
- physical activity
- mental health
- quality improvement
- depressive symptoms
- autism spectrum disorder
- primary care
- sleep quality
- electronic health record
- psychometric properties
- clinical practice
- randomized controlled trial
- palliative care
- emergency department
- body mass index
- big data
- affordable care act
- machine learning
- mental illness
- artificial intelligence