Article Per Year (5 Year)
p-Index From 2021 - 2026
0.562
P-Index
This Author published in this journals
All Journal Termometer: Jurnal Ilmiah Ilmu Kesehatan Dan Kedokteran Jurnal Ventilator: Jurnal Riset Ilmu Kesehatan dan Keperawatan
Aisyah Umaira
Universitas Islam Negeri Sumatera Utara
Dentistry Health Professions Nursing Public Health

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Reconstruction of Mental Health Systems in Post-Revolution States Affected by the Arab Spring M. Agung Rahmadi; Luthfiah Mawar; Risa Ramadhani Br Panjaitan; Saschia Amanda; Clarisha Al Chaira Achmad; Helsa Nasution; Nurzahara Sihombing; Aisyah Umaira
Termometer: Jurnal Ilmiah Ilmu Kesehatan dan Kedokteran Vol. 3 No. 4 (2025): Termometer: Jurnal Ilmiah Ilmu Kesehatan dan Kedokteran,
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/termometer.v3i4.5616

Abstract

This study provides a comprehensive examination of the impact of the Arab Spring on the reconstruction of mental health systems in five major affected countries — Tunisia, Egypt, Libya, Yemen, and Syria — using a systematic review of 87 Research articles published between 2011 and 2024. The meta-regression analysis indicates a significant increase in the prevalence of mental disorders in the post-revolution period (OR = 2.87, 95% CI: 2.31–3.43, p < .001), with PTSD representing the highest proportion at 38.4%, followed by major depression at 27.6% and anxiety disorders at 24.2%, thus demonstrating a substantial psychopathological burden within the affected populations. Multi-level analysis reveals that countries with the highest levels of mental health infrastructure damage, particularly Libya (78.3%) and Syria (72.6%), experienced a drastic decline in the ratio of mental health professionals per 100,000 inhabitants, decreasing from 7.8 to 2.1, marking a severe limitation in service capacity. These findings expand upon the Research of Spagnolo et al. (2018), which highlighted the impact of conflict on mental health, by introducing an additional dimension concerning the effectiveness of community-based interventions that achieved a 67.8% success rate (p < .01), and by emphasizing the role of social resilience in mitigating psychological distress. Furthermore, unlike Refaat (2014), who focused on individual-level consequences, this Research underscores systemic patterns in the reconstruction of mental health services, with reintegration programs demonstrating a success rate of 58.4% (95% CI: 51.2–65.6%), thereby affirming the importance of holistic and integrated intervention strategies. The novelty of this study lies in the identification of a community resilience-based reconstruction model that demonstrates 73.2% greater effectiveness than conventional approaches, offering a strategically relevant perspective for the development of post-conflict mental health policy and practice in countries affected by the Arab Spring.  
Construction of Integrated Technology for Physical and Mental Health in Conflict-Affected Middle Eastern Regions : A Confirmatory Factor Analysis of the Dimensions of Digital Innovation, Infrastructure Readiness, User Competency, and Sustainability Luthfiah Mawar; M. Agung Rahmadi; Sal Sabila; Adzra Muzhaffirah; Mutiara Rengganis; Helsa Nasution; Nurzahara Sihombing; Aisyah Umaira
Jurnal Ventilator Vol. 3 No. 4 (2025): Jurnal Ventilator
Publisher : Stikes Kesdam IV/Diponegoro Semarang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59680/ventilator.v3i4.2114

Abstract

This study offers a comprehensive analysis of the integrated technology construct connecting physical and mental health services in conflict-affected Middle Eastern regions by employing confirmatory factor analysis within a Structural Equation Modelling approach. The research is based on 1,124 documents on digital health technology implementation published between 2017 and 2024 across fourteen countries. The measurement model demonstrates strong goodness-of-fit, evidenced by chi-square/df = 1.847, CFI = 0.971, TLI = 0.965, RMSEA = 0.041, and SRMR = 0.034, thereby confirming the structural soundness of the proposed framework. The analysis identifies four core dimensions—Digital Innovation (lambda = 0.893, CR = 13.672), Infrastructure Readiness (lambda = 0.847, CR = 12.184), User Competency (lambda = 0.819, CR = 11.453), and Sustainability (lambda = 0.865, CR = 12.738)—all significant at p < 0.001. Reliability indices are robust, with Cronbach's Alpha between 0.876 and 0.934, Composite Reliability ranging from 0.891 to 0.947, and Average Variance Extracted between 0.661 and 0.798, indicating strong internal consistency. The findings expand earlier digital health frameworks proposed by Mechael (2009) and Labrique et al. (2013) by emphasizing sustainability as a key component in conflict settings marked by limited resources. In contrast to Aranda-Jan et al. (2014), which addresses general technology adoption, this study underscores specific challenges in integrating both mental and physical health services in humanitarian contexts, thereby responding to the gap highlighted by Naslund et al. (2017) regarding fragmented digital mental health initiatives in crisis environments.
Evaluation of Social Reintegration Programs for Trauma Survivors in Communities Under Foreign Occupation in the Middle East M. Agung Rahmadi; Luthfiah Mawar; Ayu Anastasyah; Aisyah Umaira; Nurma Handayani; Helsa Nasution; Nurzahara Sihombing; Naila Al Madina
Jurnal Ventilator Vol. 3 No. 4 (2025): Jurnal Ventilator
Publisher : Stikes Kesdam IV/Diponegoro Semarang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59680/ventilator.v3i4.2118

Abstract

This meta-review comprehensively examines the effectiveness of social reintegration programs designed for trauma survivors living in territories under foreign occupation in the Middle East, through a systematic analysis of 47 empirical studies with a total of 12,487 participants published between 2010 and 2024. The synthesis indicates that program success rates reached 73.8 percent with a 95 percent confidence interval (70.2–77.4), supported by a strong effect size in reducing PTSD symptoms with a Cohen's d value of 0.82. When effectiveness was compared across intervention approaches, community-based programs demonstrated a more substantial impact, with a correlation of r=0.67 (p<0.001), compared with individual interventions, which yielded a correlation of r=0.43 (p<0.01).
Co-Authors Adzra Muzhaffirah Ayu Anastasyah Clarisha Al Chaira Achmad Helsa Nasution Helsa Nasution Luthfiah Mawar Luthfiah Mawar M. Agung Rahmadi M. Agung Rahmadi Mutiara Rengganis Naila Al Madina Nurma Handayani Nurzahara Sihombing Risa Ramadhani Br Panjaitan Sal Sabila Saschia Amanda