Observational studyBMC health services research2026
Hospital system resilience in the face of armed conflicts; a cross sectional study from two regions in Lebanon.
Observational study in BMC health services research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSince 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.
methodsA 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.
resultsSignificant 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).
conclusionHospital 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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.