ArticleJournal of immigrant and minority health2026
The Impact of a Culturally Adapted Patient Navigator-Led Telehealth Program for Displaced Afghans' Mental Health.
Article in Journal of immigrant and minority health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Refugee-centered framework for design of digital health interventions: a qualitative study with Ukrainian refugee women in Norway.Frontiers in digital health · 2026Article
- Navigating the Spanish Healthcare System: Perspectives of Newcomers and Cultural Mediators on Communication, Relationships, and Fear of Deportation.Journal of nursing management · 2026Article
- Facilitating research participation through a research navigator programme: researchers' insights from a project with asylum seekers and refugees.Conflict and health · 2025Article
- Telemedicine in Afghanistan: Implementation, Outcomes, and Future Directions in a Resource-Constrained Setting.Cureus · 2025Review
- Global trends of digital health technologies in patient navigation: A bibliometric and visual analysis from 2005 to 2024.Digital healthReview
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study evaluated the effectiveness of a culturally- and linguistically-adapted, patient navigator-led telehealth model in expanding mental health access and reducing depression and anxiety symptoms among Afghan refugees resettled across several U.S. states. We conducted a retrospective chart review of electronic medical records from 679 Afghan patients, assessing changes in PHQ-9 and GAD-7 scores using paired samples t-tests. Additionally, we explored which patients benefited most, analyzing variations in outcomes based on treatment plans, age, and gender. We observed statistically significant reductions in depression and anxiety symptoms between baseline and follow-up for all treatment groups (p < .001), with large effect sizes ranging from d = 0.80 to 1.06. For example, high-need patients showed a mean PHQ-9 reduction of 4.44 points (d = 1.05) and a GAD-7 reduction of 3.70 points (d = 0.94). The model was equally effective across genders and age groups. This patient navigator-led model demonstrates a promising strategy for improving mental health outcomes among Afghan newcomers. Its success highlights the potential for scalable mental health care solutions to address both clinical symptoms and structural barriers to care.
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Registered trials
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