Objectives: Compared with first-tier cities in China that are of abundant funds and resources like legions of high-level hospitals, the degree of nurses' disaster nursing preparedness in non-first-tier cities (inland) is relatively lower. For example, nurses' knowledge reserve of specific disasters is not comprehensive enough. And nurses are diffident when it comes to the skills of handling disaster rescue. Furthermore, their understanding of the roles to take in disaster coordination management is ambiguous. Conquering these challenges could be conducive to the improvement of local medical staffs' confidence and capabilities in disaster relief. Consequently, the objective of this research is to probe for approaches of improving the strategies of disaster nursing in Chinese small cities.
Methods: In order to ascertain the factors that influence disaster preparedness, a cross-sectional study with SPSS 25.0 data analysis method is adopted. The sample of the study is nursing personnel from 4 comprehensive hospitals at or above the second level in Yongcheng, Henan Province, China, as nurses are first-line responders in disasters and pandemics and the largest group in disaster rescue.
Results: From 813 distributed questionnaires, 784 completed questionnaires were returned, for a response rate of 96.43%. The total average score of the Disaster Preparedness Evaluation Tool is 146.76 ± 34.98, and the average score of all the entries is 3.26 ± 0.45, indicating moderate performance. The results indicate that age affects post disaster management ( < 0.05), meaning that as age increases, the scores also tend to be higher. Work experience, professional titles, disaster relief experience, and disaster training significantly differ in terms of knowledge, skills, post disaster management, and total scores < 0.01). The result of multivariate analysis indicates that titles, disaster relief experiences, and disaster training are the main factors affecting the disaster preparedness of nurses in Chinese non-first-tier (inland) cities( < 0.05).
Conclusions: For the sake of upgrading the efficiency of disaster nursing preparedness in Chinese non-first-tier (inland) cities with limited funds and resources, it is very important to formulate training and education methods that are suitable for the local area, conduct characteristic simulation exercises, and expand experience exchange between hospitals. It's certain that the local government will also play an important role in coordinating and organizing the division of labor, resource allocation, and management of hospitals at all levels in different phases of disasters, which can help nursing staff have a clearer understanding of their roles when preparing for disasters.
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http://dx.doi.org/10.1017/dmp.2024.300 | DOI Listing |
Sci Rep
January 2025
State Key Laboratory of Geohazard Prevention and GeoEnvironment Protection, Chengdu University of Technology, Chengdu, 610059, Sichuan, China.
Pakistan's geographic location makes it an important land hub between Central Asia, Middle East-North Africa, and China. However, the railways, roads, farmland, riverways, and residential quarters in the Piedmont plains of Baluchistan province in northwestern Pakistan are under serious threat of flooding in the summer of 2022. The urgency and severity of climate change's impact on humanity are underscored by the significant threats posed to human life and property in Piedmont Plains environments through extreme flood events, which has garnered widespread concerns.
View Article and Find Full Text PDFSci Rep
January 2025
College of Architecture and Urban Planning, Guizhou University, Guiyang, 550025, China.
Karst small towns globally face challenges due to limited disaster-resilient resources, making it difficult to handle increasingly severe disaster environments. Improving the efficiency of disaster-resilient resource utilization and maintaining a tight balance state of disaster-resilient resources (TBS) are crucial for enhancing disaster adaptability and resilience. This study used urban and disaster data from a representative karst region in China (2017-2021) to conduct a quantitative analysis of TBS in karst small towns, exploring the mechanisms and interactions within this state and identifying obstacle factors.
View Article and Find Full Text PDFRadiat Oncol
January 2025
Department of Respiratory Medicine and Medical Oncology, Yokohama Municipal Citizen's Hospital, Yokohama, Kanagawa, Japan.
Introduction: Stage IV non-small cell lung carcinoma (NSCLC) with oligometastases is potentially curable by radical treatment. This study aimed to evaluate the efficacy and safety of chemoradiotherapy (CRT) for thoracic disease, including the primary lesion and lymph node metastases, combined with local consolidative therapy (LCT) for oligometastases.
Methods: This was a multicenter Phase II trial for patients with Stage IV NSCLC with oligometastases for whom CRT for thoracic disease was feasible.
ISA Trans
January 2025
School of Artificial Intelligence, Anhui University, Hefei 230601, China. Electronic address:
This study investigates pigeon-like flexible flapping wings, which are known for their low energy consumption, high flexibility, and lightweight design. However, such flexible flapping wing systems are prone to deformation and vibration during flight, leading to performance degradation. It is thus necessary to design a control method to effectively manage the vibration of flexible wings.
View Article and Find Full Text PDFAustralas Psychiatry
January 2025
College of Asia Pacific Studies, Ritsumeikan Asia Pacific University, Oita, Japan.
Objective: This article explores the views towards contextualizing Psychological First Aid (PFA) to address the specific needs of communities in Pacific Island Countries (PICs) impacted by disasters. The methodological approach involved a review of existing literature on PFA's relevance, adaptation, and effectiveness in disaster response settings.
Findings: In disaster response, PFA is a recognized, evidence-informed psychosocial support activity internationally, yet measuring its effectiveness in real-time disasters remains challenging.
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