Suchergebnisse

BACKGROUND: Nowadays, emergencies and disasters are considered one of the biggest problems in human life. To reduce the risk of emergencies and disasters, governments must develop strategies and policies using evidence-based methods. Disaster databases are the main source and tool for storing and managing a wide range of data in this field. This study was conducted with the aim of exploring the necessary criteria and components of the emergency and disasters database in Iran. MARTIALS AND METHODS: This qualitative study was performed using content analysis in which 18 managers and experts with experience in registering, documenting, or responding to emergencies and disasters were selected through purposive sampling. Data collection was done using semi-structured interviews that continued until saturation. Data were analyzed by means of qualitative content analysis recommended by Landman and Graneheim. RESULTS: In total, three main concepts concerning the necessary criteria and components of the database of natural and artificial emergencies and disasters in Iran were explored. The main concepts include information resources, information evaluation, and information management. Subconcepts include data collection, information transfer, access to information, information validation, disaster leveling, information registering, information storage and retrieval, information analysis, and information dissemination. CONCLUSION: The experience of the participants showed that there are many challenges in the field of monitoring and gathering information about injuries and damages caused by emergencies and disasters in the country. The knowledge obtained from this study can be used to create and develop a database of emergencies and disasters in Iran. It will also provide insights for healthcare policymakers and managers in future planning areas to more effectively address identified challenges in preventing and responding to disasters at both regional and national levels.

Identifying the possible factors of psychiatric symptoms among children can reduce the risk of adverse psychosocial outcomes in adulthood. We designed a classification tool to examine the association between modifiable risk factors and psychiatric symptoms, defined based on the Persian version of the WHO-GSHS questionnaire in a developing country. Ten thousand three hundred fifty students, aged 6–18 years from all Iran provinces, participated in this study. We used feature discretization and encoding, stability selection, and regularized group method of data handling (GMDH) to classify the a priori specific factors (e.g., demographic, sleeping-time, life satisfaction, and birth-weight) to psychiatric symptoms. Self-rated health was the most critical feature. The selected modifiable factors were eating breakfast, screentime, salty snack for depression symptom, physical activity, salty snack for worriedness symptom, (abdominal) obesity, sweetened beverage, and sleep-hour for mild-to-moderate emotional symptoms. The area under the ROC curve of the GMDH was 0.75 (CI 95% 0.73–0.76) for the analyzed psychiatric symptoms using threefold cross-validation. It significantly outperformed the state-of-the-art (adjusted p¿<¿0.05; McNemar's test). In this study, the association of psychiatric risk factors and the importance of modifiable nutrition and lifestyle factors were emphasized. However, as a cross-sectional study, no causality can be inferred. ; The authors would like to thank the CASPIAN team working on this national project and all students and their families participating in this project. The research leading to these results has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie Grant Agreement No. 712949 (TECNIOspring PLUS) and from the Agency for Business Competitiveness of the Government of Catalonia (TECSPR18-1-0017). ; Peer Reviewed ; Postprint (published version)