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All Journal Jurnal An-Najat: Jurnal Ilmu Farmasi dan Kesehatan
Anggun Sukma Ariyanti
Universitas Islam Negeri Sumatera Utara
Dentistry Health Professions Nursing Public Health Veterinary

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Implementation of Telemedicine for Mental Health Services in Conflict-Affected Areas of the Middle East M. Agung Rahmadi; Luthfiah Mawar; Jenni Artika Saragih; Sri Wahyuni; Anggun Sukma Ariyanti; Helsa Nasution; Nurzahara Sihombing; Nazlah Khodijah; Annisa Ardianti Br Tarigan
An-Najat Vol. 4 No. 1 (2026): Februari: An-Najat : Jurnal Ilmu Farmasi dan Kesehatan
Publisher : STIKes Ibnu Sina Ajibarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59841/an-najat.v4i1.3613

Abstract

This study evaluates the effectiveness of telemedicine in the provision of mental health services in Middle Eastern conflict regions through a systematic meta-review of 47 studies published between 2014 and 2024, involving a total of 12,487 participants. Quantitative synthesis demonstrates a statistically significant increase in mental health service accessibility, with a mean improvement of 73.4% and a 95% confidence interval of 68.2–78.6% compared with conventional service models. Patient satisfaction reached 82.6% with p<0.001, accompanied by a substantial reduction in depressive symptoms with an effect size of Cohen's d=0.79 and a reduction in anxiety symptoms with Cohen's d=0.84. Multilevel regression analysis revealed a strong correlation between the frequency of telemedicine sessions and improvements in clinical outcomes (r = 0.67, p < 0.001). When compared with the findings of Ruzek et al. (2016) and Yeager et al. (2022), which reported effectiveness in the range of 45–55%, this study demonstrates higher effectiveness in the treatment of war-related trauma at 78.9% (p<0.001). In contrast to Graham et al. (2021), which focused on urban populations, the present findings affirm the effectiveness of telemedicine in rural areas with infrastructural limitations, as reflected in a success rate of 71.2%. Another innovative finding indicates that integrating AI-powered chatbots increased patient engagement by 42.8% while simultaneously reducing dropout rates by 31.5% compared with conventional telemedicine approaches.
Co-Authors Annisa Ardianti Br Tarigan Helsa Nasution Jenni Artika Saragih Luthfiah Mawar M. Agung Rahmadi Nazlah Khodijah Nurzahara Sihombing Sri Wahyuni