A Cross-Sectional Study on the Flood Emergency Preparedness among Healthcare Providers in Saudi Arabia

Bolstering health systems to cope with the impacts of climate change events: A review of the evidence on workforce planning, upskilling, and capacity building

BACKGROUND

As global CO2 emissions continue to rise and the 'era of global boiling' takes hold, the health workforce must cope with the challenge of providing care to increasing numbers of patients affected by climate change-related events (e.g., hurricanes, wildfires, floods). In this review, we describe the impacts of these events on the health workforce, and strategies responding to these challenges.

METHODS

This rapid systematic review was guided by the Preferred Reporting Items for Systematic reviews and Meta-Analyses and a registered protocol (PROSPERO CRD42023433610). Eight databases were searched in May 2022 and again in June 2023. Empirical studies discussing climate change and workforce policy, planning, preparedness, and capacity were included. Inductive thematic analysis of extracted data was conducted.

RESULTS

From the 60 included studies, two categories emerged: the impacts of climate events on the health workforce (n = 39), and workforce responses to and preparations for climate events (n = 58). Thirty-seven studies reported on both categories. Four impact themes were identified: absenteeism, psychological impacts, system breakdown, and unsafe working conditions; and six responses and preparations themes: training/skill development, workforce capacity planning, interdisciplinary collaboration, role flexibility, role incentivisation, and psychological support.

CONCLUSION

This review provides an overview of some of the deleterious impacts of climate events on the health workforce, as well as potential strategies for the health workforce to prepare or respond to climate events. Future studies should assess the implementation and effectiveness of these strategies to ensure a continuously improving healthcare system, and a well-supported health workforce.

Knowledge, attitudes, and practices associated with bioterrorism preparedness in healthcare workers: a systematic review

Introduction

Bioterrorism is an important issue in the field of biosecurity, and effectively dealing with bioterrorism has become an urgent task worldwide. Healthcare workers are considered bioterrorism first responders, who shoulder essential responsibilities and must be equipped to deal with bioterrorism. This study aims to extract and summarize the main research components of the bioterrorism knowledge, attitude, and practice dimensions among healthcare workers.

Method

This study utilized a systematic review research design based on the PRISMA 2020 guidelines. A literature search was conducted in the PubMed, Web of Science, and Scopus databases for peer-reviewed literature, and the Mixed Methods Appraisal Tool (MMAT) version 2018 was used to assess the quality of the literature.

Result

A total of 16 studies were included in the final selection. Through the analysis and summary of the included studies, three main aspects and 14 subaspects of the knowledge dimension, three main aspects and 10 subaspects of the attitude dimension, and two main aspects and six subaspects of the practice dimension were extracted.

Conclusion

This study conducted a literature review on bioterrorism knowledge, attitudes, and practices for healthcare workers based on the PRISMA 2020 guidelines. The findings can guide improvements in health literacy and provide beneficial information to professional organizations that need to respond effectively to bioterrorism.

Reducing Violence in Riyadh’s Emergency Departments: The Critical Role of Healthcare Providers

Emergency department staff are at high risk of experiencing violence and aggression from patients and visitors, which can have negative impacts on healthcare providers in the ED. The aim of this study was to explore the role of healthcare providers in addressing local violence in Riyadh EDs and investigate their preparedness for managing violent incidents. We used a descriptive, correlational design with survey methodology to collect data from a convenience sample of nurses, ED technicians, physicians, and advanced practice providers in Riyadh city’s EDs. To examine the associations, we used an analysis of variance (ANOVA) for unadjusted relationships and an analysis of covariance (ANCOVA) for adjusted associations. Measures included a demographic survey, and clinicians responded to an online survey. A total of 206 ED staff participated in the questionnaire, and 59% reported experiencing physical violence during an ED shift, with 61% of incidents being caused by relatives. Additionally, 32% of the participants witnessed workplace violence. Our findings revealed that male healthcare workers, physicians, and those working in the governmental sector were at the highest risk of experiencing violence. We also found a statistically significant association between the rate of patients seen in the ED and the frequency of assault (physical or verbal) in the ED. Our results suggest that the rate of workplace violence in Riyadh EDs is high, and more efforts are needed to protect the health and well-being of healthcare providers. Senior management should take a position against ED domestic violence and reinforce managerial and healthcare provider resources by adopting policies and procedures that protect healthcare workers’ safety. This study provides valuable insights into the nature and prevalence of violence in Riyadh EDs and highlights the critical role of healthcare providers in reducing violence in EDs.

Willingness to Work during Public Health Emergencies: A Systematic Literature Review

The identification of the factors underlying the willingness or lack thereof to respond to public health emergencies is paramount to informing more capable health services. The interest in this topic appears renewed with each surge of threat, either referring to natural disasters, man-made violence, or epidemic and pandemics. However, there is no systematic approach to the research patterns and related main findings concerning individual and contextual determinants. The present article contributes to this theme through a systematic literature review of a sample of 150 articles published in the last 30 years on the subject of willingness and preparedness of health professionals to deal with public health threats. Our findings show that the research is mainly phenomena and contextual driven, responding to whichever emergency threat is more salient in a given period. Geographically, research on this topic is led by USA and China, mostly solely, while European countries invest in collaborations that are more international. Universities, including health institutes and schools, and researchers at hospitals conduct most of the research on the topic. The main research areas are medicine, psychology, and psychiatry. Pandemics, including COVID-19, influenza, and natural disasters, are the phenomena gauging more attention as opposed to terrorism events and biological accidents. The specific role of health professionals within the institution, their belief in ethical duties, preparation training, and concerns regarding infection of self and family are the main variables influencing the willingness and ability to report to work in public health emergencies.

A hybrid novel framework for flood disaster risk control in developing countries based on smart prediction systems and prioritized scenarios

A Decision Support System (DSS) is a highly efficient concept for managing complex objects in nature or human-made phenomena. The main purpose of the present study is related to designing and implementation of real-time monitoring, prediction, and control system for flood disaster management as a DSS. Likewise, the problem of statement in the research is correlated to implementation of a system for different climates of Iran as a unique flood control system. For the first time, this study coupled hydrological data mining, Machine Learning (ML), and Multi-Criteria Decision Making (MCDM) as smart alarm and prevention systems. Likewise, it created the platform for conditional management of floods in Iran's different clusters of climates. According to the KMeans clustering system, which determines homogeneity of the hydrology of a specific region, Iran's rainfall is heterogeneous with 0.61 score, which is approved high efficiency of clustering in a vast country such as Iran with four seasons and different climates. In contrast, the relation of rainfall and flood disaster is evaluated by Nearest Neighbors Classification (NNC), Stochastic Gradient Descent (SGD), Gaussian Process Classifier (GPC), and Neural Network (NN) algorithms which have an acceptable correlation coefficient with a mean of 0.7. The machine learning outputs demonstrated that based on valid data existence problems in developing countries, just with verified precipitation records, the flood disaster can be estimated with high efficiency. In the following, Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method as a Game Theory (GT) technique ranked the preventive flood damages strategies through three social (Se 1), environmental (Se 2), and economic (Se 3) crises scenarios. The solutions of flood disaster management are collected from literature review, and the opinion approves them of 9 senior experts who are retired from a high level of water resource management positions of Iran. The outcomes of the TOPSIS method proved that National announcement for public-institutional participation for rapid response and funding (G1-2), Establishment of delay structures to increase flood focus time to give the animals in the ecosystem the opportunity to escape to the upstream points and to preserve the habitat (G 2-8), and Granting free national financial resources by government agencies in order to rebuild sensitive infrastructure such as railways, hospitals, schools, etc. to the provincial treasury (G3-10) are selected as the best solution of flood management in Social, Environmental, and Economic crises, respectively. Finally, the collected data are categorized in Social, Environmental, and Economic aspects as three dimensions of Sustainable Development Goals (SDGs) and ranked based on the opinion of 32 experts in the five provinces of present case studies.

Research on the Natural Hazard Emergency Cooperation Behavior between Governments and Social Organizations Based on the Hybrid Mechanism of Incentive and Linkage in China

Social organizations have become an important component of the emergency management system by virtue of their heterogeneous resource advantages. It is of great significance to explore the interaction between the local government and social organizations and to clarify the key factors affecting the participation of social organizations in natural hazard emergency responses. With the aim of exploring the relationship between the local government and social organizations, based on evolutionary game theory, the emergency incentive game model and the emergency linkage game model of natural hazard emergency responses were constructed. The evolutionary trajectories of the emergency incentive game system and the emergency linkage game system were described by numerical simulation. Meanwhile, the influence mechanism of government decision parameters on the strategy selection of both game subjects was analyzed. The results show that both governmental incentive strategy and linkage strategy can significantly improve the enthusiasm of social organizations for participating in natural hazard emergency responses. Moreover, they could encourage social organizations to choose a positive participation strategy. Nevertheless, over-reliance on incentives reduces the probability of the local government choosing a positive emergency strategy. In addition, we found that, when both game subjects tend to choose a positive strategy, the strategy selection of the local government drives that of social organizations.

Improving Disaster Readiness and the Response of Nurses in Saudi Arabia

INTRODUCTION

Nurses in Saudi Arabia face several challenges in all phases of disaster nursing, such as the infancy of the specialty and a lack of education, preparedness, research, and expertise in both the clinical field and in academics. Overcoming these challenges will help both nurses and the development of the specialty itself in aspects such as policies and procedures, education, and research. Thus, the aim of this study was to explore strategies for improving disaster nursing in Saudi Arabia.

METHODS

A cross-sectional study with a principal component analysis (PCA) was conducted to identify the factors affecting disaster nursing in Saudi Arabia. The sample of the study was Saudi Arabian nurses, as they are first-line responders in disasters and pandemics.

RESULTS

From 800 distributed questionnaires, 569 completed questionnaires were returned, for a response rate of 71%. The findings of the PCA revealed two components that can be extracted from the data. The first is preparedness, which involves 13 items related to the actions that must be taken before a disaster occurs, with a loading range of 0.82 to 0.70. The second factor is the action taken after a disaster occurs, and there are seven items with a loading range of 0.83 to 0.73.

CONCLUSION

For improved disaster nursing, it is essential to develop evaluation tools, create specific nursing legislation for disaster situations, provide personal protective equipment to nurses to minimize the risk of infection, and encourage nurses by appreciating their efforts to minimize their stress level during a disaster. It is also important to make sufficient supplies and equipment available to nurses during a disaster and provide them with psychological support while acknowledging the importance of contact with their families and friends.