Digital Health Literacy In Forced Migrant Populations

Effectiveness Of Culturally Responsive Digital Health Interventions

Authors

  • Tofan Stofiana Universitas Muhammadiyah Buton
  • Vismaia S. Damaianti Universitas Pendidikan Indonesia
  • Yeti Mulyati Universitas Pendidikan Indonesia

DOI:

https://doi.org/10.55981/panalungtik.2026.16655

Keywords:

cultural adaptation, digital health literacy, forced migration, health equity, meta-analysis

Abstract

Forced displacement has reached record levels, worsening inequities in healthcare access for refugees, asylum seekers, and internally displaced persons as health systems digitalize. We assessed whether culturally responsive digital health interventions improve outcomes and whether deeper cultural adaptation yields greater effects. We conducted a Systematic Literature and Network Analysis of Scopus (inception–January 2025). Two reviewers screened 1,847 records; 23 studies (11,044 participants, 22 countries) were included, with 17 contributing to random-effects meta-analysis. Interventions produced large gains in digital health literacy (SMD=0.78, 95% CI 0.65–0.91) and improvements in healthcare utilization (RR=1.67, 95% CI 1.34–2.08) and technology engagement (RR=2.23, 95% CI 1.89–2.63). Effects increased with cultural adaptation depth (minimal SMD=0.51; moderate 0.67; comprehensive 0.89; p=0.003). Keyword network analysis showed five clusters (modularity=0.42) and rising post-2020 integration, with digital health literacy and cultural adaptation most central. Culturally responsive design is a core mechanism for equitable digital health in migration settings.

 

References

Akingbola, O. A., Martinez, C., Johnson, K., & Patel, N. (2025). Barriers to healthcare access among internally displaced persons: A qualitative study of digital health literacy challenges. International Journal of Environmental Research and Public Health, 22, 891. https://doi.org/10.1186/s12982-025-00776-3

Angelucci, A., Kuller, J. A., Aliverti, A., & Piacentini, E. (2023). Digital transformation in healthcare: Technology acceptance and its applications. International Journal of Environmental Research and Public Health, 20, 3407. https://doi.org/10.3390/ijerph20043407

Areias, A. C., Paixão, C., Romero, D., Molinos, M., Ramos, S., Morais, A., Dinis, M. A., & Janela, D. (2023). The potential of a multimodal digital care program in addressing healthcare inequities in musculoskeletal pain management. NPJ Digital Medicine, 6, 236. https://doi.org/10.1038/s41746-023-00936-2

Burnham, J. F. (2006). Scopus database: A review. Biomedical Digital Libraries, 3, Article 1. https://doi.org/10.1186/1742-5581-3-1

Crocamo, C., Bachi, B., Calabrese, A., Carrà, G., & Bartoli, F. (2025). Digital therapeutics for substance use disorders: A network meta-analysis of randomized controlled trials. Addiction, 120, 567–578. https://doi.org/10.1111/add.16078

DerSimonian, R., & Laird, N. (1986). Meta-analysis in clinical trials. Controlled Clinical Trials, 7(3), 177–188. https://doi.org/10.1016/0197-2456(86)90046-2

Eysenbach, G. (2011). CONSORT-EHEALTH: Improving and standardizing evaluation reports of web-based and mobile health interventions. Journal of Medical Internet Research, 13(4), e126. https://doi.org/10.2196/jmir.1923

Hoffmann, T. C., Glasziou, P. P., Boutron, I., Milne, R., Perera, R., Moher, D., Altman, D. G., Barbour, V., Macdonald, H., & Johnston, M. (2014). Better reporting of interventions: Template for Intervention Description and Replication (TIDieR) checklist and guide. BMJ, 348, g1687. https://doi.org/10.1136/bmj.g1687

Hollinghurst, J., Fry, R., Akbari, A., & Rodgers, S. (2018). Using residential anonymous linking fields to identify vulnerable populations in administrative data. International Journal of Population Data Science, 3(4), 893. https://doi.org/10.23889/ijpds.v3i4.893

Kepper, M. M., Fowler, L. A., Kusters, I. S., Davis, J. W., Baqer, M., Sagui-Henson, S., Xiao, Y., Tarfa, A., Yi, J. C., & Gibson, B. (2024). Expanding a behavioral view on digital health access: Drivers and strategies to promote equity. Journal of Medical Internet Research, 26, e51355. https://doi.org/10.2196/51355

Leung, A., Chen, W., Park, S., & Mohamed, H. (2025). Community-participatory design of digital health interventions for Somali refugees: An implementation science approach. Implementation Science, 20, 89. https://doi.org/10.1186/s13012-025-01289-x

Mair, F. S., Goldberg, P., Blackwood, B., May, C. R., & Finch, T. (2025). Understanding and overcoming barriers to digital health adoption: A patient and public involvement study. Translational Behavioral Medicine, 15(1), 45–54. https://doi.org/10.1089/tmj.2025.0123

Matlin, S. A., Hanefeld, J., Corte-Real, A. T., Cunha, P. R., de Gruchy, T., Manji, K. N., Netto, G., Nunes, T., Şanlıer Yüksel, İ., & Takian, A. (2025). Digital solutions for migrant and refugee health: A framework for analysis and action. The Lancet Regional Health – Europe, 49, 101190. https://doi.org/10.1016/j.lanepe.2024.101190

Morgan, K., Page, N., Brown, R., Long, S., Hewitt, G., Del Pozo-Banos, M., John, A., Murphy, S., & Moore, G. (2020). Sources of bias when combining routine data linkage and a national survey of secondary school-aged children: A record linkage study. International Journal of Population Data Science, 5(5), 1611. https://doi.org/10.23889/ijpds.v5i5.1611

Naderbagi, A., Loblay, V., Zahed, I. U. M., Ekambareshwar, M., Poulsen, A., Song, Y. J. C., Ospina-Pinillos, L., Krausz, M., Kamel, M. M., & Hickie, I. B. (2024). Cultural and contextual adaptation of digital health interventions: A narrative review. Journal of Medical Internet Research, 26, e54885. https://doi.org/10.2196/54885

Norman, C. D., & Skinner, H. A. (2006). eHealth literacy: Essential skills for consumer health in a networked world. Journal of Medical Internet Research, 8(2), e9. https://doi.org/10.2196/jmir.8.2.e9

Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., & Brennan, S. E. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ, 372, n71. https://doi.org/10.1136/bmj.n71

UNHCR. (2024). Global trends: Forced displacement in 2023. United Nations High Commissioner for Refugees. https://www.unhcr.org/global-trends

Yameogo, A. R., Délétroz, C., Sasseville, M., Amil, S., Da, S. M. A. R., Plaisimond, J., Bergeron, F., Tadlaoui, S., Bodenmann, P., & Gagnon, M. P. (2025). Effectiveness of interventions to improve digital health literacy in forced migrant populations: A mixed-methods systematic review. JMIR Public Health and Surveillance, 11, e69880. h

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Published

2026-07-31

How to Cite

Tofan Stofiana, Vismaia S. Damaianti, & Yeti Mulyati. (2026). Digital Health Literacy In Forced Migrant Populations: Effectiveness Of Culturally Responsive Digital Health Interventions. PANALUNGTIK, 9(1), 70–86. https://doi.org/10.55981/panalungtik.2026.16655