ArticleBMC public health2026
Nearly two years after the earthquake: the prevalence and determinants of health service delay behavior among earthquake victims living in temporary accommodation centers in Türkiye.
Article in BMC public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
objectiveThe aim of this study is to determine the prevalence of healthcare service delay behavior among earthquake survivors living in temporary accommodation centers during the long-term recovery period (between the 26th and 30th months) following the 2023 Kahramanmaraş earthquake, and to assess the impact of post-disaster living conditions on this behavior.
methodThis cross-sectional study was conducted with 596 adults living in temporary accommodation centers in Hatay between May 1 and August 30, 2025. The study identified factors affecting healthcare utilization using Andersen's Behavioral Model. Data were collected using an Information Form and the Healthcare Demand Procrastination Scale. Data analysis was performed using descriptive statistics, independent samples t-tests, one-way ANOVA, and multivariate linear regression.
resultsThe study found that the prevalence of healthcare delay behavior was 48.83%. In the regression analysis, healthcare service delay behavior was found to be influenced by predisposing factors, enabling factors, and need factors (p < 0.05). The established model accounted for 27.3% of the variance in healthcare delay behavior (R² = 0.273).
conclusionThe findings indicate that nearly two years after the 2023 Türkiye earthquake, healthcare delay behavior remains highly prevalent among survivors living in temporary accommodation centers. This persistent delay reflects ongoing structural and access-related inequalities in post-disaster healthcare delivery. The results underscore the importance of strengthening accessible, continuous, and trauma-informed healthcare services, particularly in vulnerable and displaced populations, to reduce long-term disparities in healthcare utilization.
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