Scholarlink

Background <p>Since 2020, Lebanon has faced a succession of financial, health, and security crises that have severely weakened its hospital system. In this context, marked by armed conflicts and recurrent disasters, the resilience of healthcare facilities has emerged as a major public health and human security concern. This study aims to assess the resilience of Lebanese hospitals in the context of armed conflict by identifying implemented strategies, encountered challenges, and potential avenues for improvement.</p> Methods <p>A quantitative, observational, and analytical design was adopted. A structured questionnaire was administered to 412 healthcare professionals working in hospitals located in Beirut and South Lebanon. Data were analyzed using SPSS software, employing descriptive statistics, the Chi-square test of association, and Pearson’s correlation coefficient to examine relationships among the studied variables. A multiple linear regression analysis was performed to identify independent predictors of hospital resilience while controlling for the effects of the studied variables.</p> Results <p>Significant positive correlations were observed between hospital resilience and crisis management protocols (<i>r</i> = 0.377, <i>p</i> &lt; 0.001), cooperation with NGOs and international organizations (<i>r</i> = 0.567, <i>p</i> &lt; 0.001), integration of artificial intelligence (<i>r</i> = 0.340, <i>p</i> &lt; 0.001), and logistical and security challenges (<i>r</i> = 0.389, <i>p</i> &lt; 0.001). In multivariate analysis, crisis management protocols (B = 0.163, <i>p</i> &lt; 0.001), cooperation with NGOs (B = 0.257, <i>p</i> &lt; 0.001), and logistical and security challenges (B = 0.214, <i>p</i> &lt; 0.001) remained significant predictors, while artificial intelligence was not (<i>p</i> = 0.143).</p> Conclusion <p>Hospital resilience is primarily driven by institutional preparedness and interorganizational cooperation. While artificial intelligence shows potential, its independent contribution remains limited. The association between logistical and security challenges and resilience likely reflects adaptive responses under adverse conditions rather than a direct beneficial effect.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Hospital system resilience in the face of armed conflicts; a cross sectional study from two regions in Lebanon

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年7月7日

查看全文
  • Josiane Abi Khattar,
  • Theresa El Khoury,
  • Roger Maroun,
  • Dunya Nohra,
  • Maha Nehme,
  • Danie Khawaja

摘要

Background

Since 2020, Lebanon has faced a succession of financial, health, and security crises that have severely weakened its hospital system. In this context, marked by armed conflicts and recurrent disasters, the resilience of healthcare facilities has emerged as a major public health and human security concern. This study aims to assess the resilience of Lebanese hospitals in the context of armed conflict by identifying implemented strategies, encountered challenges, and potential avenues for improvement.

Methods

A quantitative, observational, and analytical design was adopted. A structured questionnaire was administered to 412 healthcare professionals working in hospitals located in Beirut and South Lebanon. Data were analyzed using SPSS software, employing descriptive statistics, the Chi-square test of association, and Pearson’s correlation coefficient to examine relationships among the studied variables. A multiple linear regression analysis was performed to identify independent predictors of hospital resilience while controlling for the effects of the studied variables.

Results

Significant positive correlations were observed between hospital resilience and crisis management protocols (r = 0.377, p < 0.001), cooperation with NGOs and international organizations (r = 0.567, p < 0.001), integration of artificial intelligence (r = 0.340, p < 0.001), and logistical and security challenges (r = 0.389, p < 0.001). In multivariate analysis, crisis management protocols (B = 0.163, p < 0.001), cooperation with NGOs (B = 0.257, p < 0.001), and logistical and security challenges (B = 0.214, p < 0.001) remained significant predictors, while artificial intelligence was not (p = 0.143).

Conclusion

Hospital resilience is primarily driven by institutional preparedness and interorganizational cooperation. While artificial intelligence shows potential, its independent contribution remains limited. The association between logistical and security challenges and resilience likely reflects adaptive responses under adverse conditions rather than a direct beneficial effect.