A cross-sectional study on public health nurses' disaster competencies and influencing factors during the COVID-19 pandemic in Korea

The competence of nurses caring for COVID-19 patients regarding disaster management: Structural equation modeling of knowledge, attitude, and performance

Background

The outbreak of COVID-19 as a global disaster has required nurses, as front-line providers of safe and quality care to patients with this disease, for proper disaster management to have a high level of competence, which demands an acceptable level of knowledge, attitude, and performance. Therefore, this study was conducted to model the relationship between knowledge, attitude, and performance with the competence of nurses caring for patients with COVID-19 regarding disaster management.

Methods

This descriptive-correlational study was conducted on 291 hospital nurses using the structural equation modeling approach in three provinces of Iran, including Kerman, Hormozgan, and Fars, from June to December 2021. Data were collected through a researcher-made questionnaire that provided information on demographics, knowledge, attitude, performance, and competence regarding disaster management. Data analysis, which included descriptive and inferential statistics, was performed using SPSS and AMOS software. Moreover, the structural equation modeling method was based on the covariance to examine the proposed model of the relationship between knowledge, attitude, and performance with nurses' competence.

Results

The study revealed that the nurses had average knowledge, acceptable attitudes, high performance, and acceptable competence scores. A positive and significant relationship was found between knowledge, attitude, and performance with nurses' competencies (P < 00.05). Furthermore, the coefficient of determination of nurses' competence in the modified structural model indicates that exogenous variables, namely knowledge, attitude, and performance, could predict 36 % of the changes in nurses' competence. Finally, the path coefficient of the effect of knowledge, attitude, and performance on nurses' competence was higher than 1.96.

Conclusions

According to the study, although the knowledge, attitude, performance, and competence of nurses caring for patients with COVID-19 were at an acceptable level, there were obstacles to improving their competence. Hence, identifying and prioritizing educational needs and learning preferences based on their cultural backgrounds are also emphasized.

A visualized and bibliometric analysis of nursing research during the COVID-19 pandemic

BACKGROUND

The global spread of Coronavirus disease 2019 (COVID-19) has been increasing since December 2019. A total of 8460 publications were obtained from the Web of Science Core Collection from 2019 to 2023, providing insights into the progress of nursing research throughout the COVID-19 pandemic.

METHODS

Bibliometric analysis was conducted on these articles using CiteSpace. The analysis focused on examining the distribution of these publications in terms of space and time, distribution of authors, subject categories, distribution of topics, and cited references.

RESULTS

These results may be explained from 3 perspectives. Initially, the number of yearly publications on nursing research consistently increased during the COVID-19 pandemic. Furthermore, a co-occurrence analysis of the countries and the authors revealed that certain countries, including the United States, China, and England, have successfully implemented organized and standardized nursing models. These countries also have well-developed and established nursing research systems. Notably, academic communities in specific regions, such as the team led by MD Stefan Gravenstein, Mor Vincent, and White Elizabeth at Brown University in the United States, have emerged as leaders in this field. Furthermore, examining the papers' subject categories and topic distribution indicate that nursing during the COVID-19 pandemic has been predominantly interdisciplinary, encompassing various disciplines such as clinical medicine, essential medicine, psychology, public health management, and even telematics science.

CONCLUSION SUBSECTIONGS

Our study provided valuable insights into acquiring knowledge on nursing research during the COVID-19 pandemic, pinpointed possible partners for researchers interested in nursing, and uncovered prevalent research patterns and popular subjects.

General nurse competencies in disaster: A delphi study

AIM

The aim of this study is to understand the significance of a disaster-related competence framework for Portuguese general nurses and identify from ICN - Core Competencies in Disaster Nursing version 2.0 core competencies description, those that are considered crucial for a competent preparedness and response in disaster scenarios.

BACKGROUND

Research suggests that the occurrence of disasters will be more recurrent, requiring that nurses, pillars of any health system, have knowledge, skills and preparedness to face these events.

DESIGN

An exploratory, cross-sectional qualitative study was carried out. Delphi method was used for data collection.

METHODS

The study group consisted of technical-scientific council's presidents or coordinators/directors of nursing courses, nurses integrated in the Portuguese Council of Nurses and National Nursing Specialty Colleges and nurses with experience in the field of disasters.

RESULTS

Findings revealed that there is consensus on sixteen competencies, considered relevant for developing general nurse knowledge and competence, both at a national or international level, in the field of disasters.

CONCLUSIONS

The development of these competencies which establishes practice standards, building nurses skills and knowledge and ultimately, influencing nursing level-entry curricula's, conferring professional autonomy and self-regulation, in the field of disaster are fundamental. Furthermore, this study may serve as a reference for future alignment of competency frameworks between European Union countries or others.

A Bayesian approach to reveal the role of psychological factors on turnover intention among nurses during the COVID-19 pandemic

BACKGROUND

Turnover intention is considered a significant challenge for healthcare and treatment organizations. The challenging conditions of treating COVID-19 patients and the physical and mental stress imposed on nurses during the pandemic may lead them to leave their jobs. The present study aimed to determine the role of psychological factors (general health, mental workload, work-family conflicts, and resilience) on turnover intention using a Bayesian approach during the COVID-19 pandemic.

METHODS

The present cross-sectional study was carried out during the winter of 2021 at three hospitals in Khuzestan Province, Iran. To collect data for this investigation, 300 nurses were chosen based on Cochran's formula and random sampling technique. Seven questionnaires, including General Health, Mental Workload, Work-Family Conflict, Resilience, Job Stress, Fear of COVID-19, and Turnover Intention Questionnaires. Bayesian Networks (BNs) were used to draw probabilistic and graphical models. A sensitivity analysis also was performed to study the effects of the variables. The GeNIe academic software, version 2.3, facilitated the examination of the Bayesian network.

RESULTS

The statistically significant associations occurred between the variables of fear of COVID-19 and job stress (0.313), job stress and turnover intention (0.302), and resilience and job stress (0.298), respectively. Job stress had the highest association with the fear of COVID-19 (0.313), and resilience had the greatest association with the work-family conflict (0.296). Also, the association between turnover intention and job stress (0.302) was higher than the association between this variable and resilience (0.219). At the low resilience and high job stress with the probability of 100%, the turnover intention variable increased by 20%, while at high resilience and low job stress with the probability of 100%, turnover intention was found to decrease by 32%.

CONCLUSION

In general, the results showed that four psychological factors affect job turnover intention. However, the greatest impact was related to job stress and resilience. These results can be used to manage job turnover intention in medical environments, especially in critical situations such as COVID-19.

The Effect of Coronavirus (COVID-19) on Job Satisfaction, Work Stress and Burnout of Healthcare Workers: A Systematic Review and Meta-Analysis

Background

We aimed to examine the job satisfaction (JS), work stress (WS) and burnout (B) levels of healthcare workers (HCWs), who are at the forefront of the fight against the coronavirus (COVID-19) epidemic process, which negatively affects the whole world, by meta-analysis.

Methods

Articles, theses and papers in the literature before the COVID-19 (2014-2019) and during COVID-19 (2020-2022) were systematically reviewed. The sample size of 54 studies conducted from 13 countries was 49.139. Data analysis was performed with the Comprehensive Meta-analysis (CMA) 3.0 Version program.

Results

According to the random effect model analysis result, a negative, significant and low-level relationship was found between WS and JS, before and during COVID-19. There was a negative, significant and medium level relationship between JS and B. It was found positive, significant and high-level relationship between WS and B. Human development level (HDL) has a moderating effect on WS and B. In addition, sample size has moderating effect on WS and JS.

Conclusion

During the prolonged COVID-19 pandemic, HCWs have experienced more burnout due to strict isolation, working conditions requiring overtime, fatigue, insomnia and concerns about virus transmission. Intense work tempo, inadequate health equipment, patient deaths, and low wages are the factors that decrease JS and increase WS and B. It is recommended to improve working conditions globally and provide financial support and mental health protection for HCWs.

Exploring Volunteer Pharmacists' Experiences in Responding to 2023 Türkiye Earthquakes: A Qualitative Phenomenological Study

OBJECTIVE

Pharmacists are vital in disaster response efforts, dispensing essential medications, managing pharmacy services, consulting, and educating survivors regarding their medications. Their contributions, however, are often underrepresented in scientific literature. This study aimed to explore the experiences of pharmacists who provided pharmacy services to meet the pharmaceutical needs of the survivors after 2 major earthquakes in Türkiye in 2023.

METHODS

This study adopted a phenomenological approach. Data were collected using semi-structured interviews. Purposive sampling was used to invite pharmacists who provided pharmacy services to survivors. Interview transcripts were analyzed following an inductive, reflexive thematic analysis.

RESULTS

In total, 15 pharmacists were interviewed. Four main overarching themes "response to the earthquake," "preparedness for the earthquake," "experiences during service delivery," and "mental and physical experiences" were developed.

CONCLUSIONS

From participants' experiences, it is essential to expand the clinical responsibilities of pharmacists and train them in providing wound care, administering immunization, and prescribing. Pharmacists should be integrated as essential members of disaster health teams. International health organizations, nongovernmental organizations, and governments are encouraged to work collaboratively and develop disaster management plans including pharmacists in early responders. This might help mitigate the deficiencies and overcome challenges in health-care systems to provide effective patient-centered care by health professionals and respond effectively to disasters.

Common domains of nurses' competencies in public health emergencies: a scoping review

BACKGROUND

A public health emergency can cause large numbers of deaths in a short period, with devastating social, economic and health consequences. Nurses are the main healthcare providers during such emergencies, and their competencies affect the control and outcomes of the situation. Studies on nurses' competencies in public health emergencies vary between countries and healthcare systems. Therefore, we conducted a scoping review to identify the common domains of nurses' competencies in public health emergencies worldwide.

METHODS

We searched the PubMed, CINHAL, Scopus, Web of Science, Science Direct, Embase, Cochrane Library, WanFang and ECRI databases from their inception to 2023. All published articles on nurses' competencies in public health emergencies that were published in English and Chinese were included. We mainly analyzed and synthesized nurses' competencies, assessment instruments and the training described in the included studies.

RESULTS

A total of 27 competency domains were identified following an analysis and summary. The most frequently cited domains were communication skills, self-protection skills, basic knowledge of a public health emergency, laws and ethics and the capacity for organizational collaboration. The Disaster Preparedness Evaluation Tool and the Emergency Preparedness Information Questionnaire were the most commonly used tools for assessing competencies. Most training was conducted online and the content that was covered varied by country.

CONCLUSIONS

Given the significant roles and responsibilities of nurses in public health emergencies, knowing the domains of their competencies is essential to evaluating, developing, and conducting clinical training.

Emerging lessons from the COVID-19 pandemic about the decisive competencies needed for the public health workforce: A qualitative study

The global COVID-19 crisis exposed the critical need for a highly qualified public health workforce. This qualitative research aimed to examine public health workforce competencies needed to face COVID-19 challenges and identify the gaps between training programs and the competency demands of real-world disasters and pandemics. Through a sample of thirty-one participant qualitative interviews, we examined the perspectives of diverse stakeholders from lead public health organizations in Israel. Grounded Theory was used to analyze the data. Six themes emerged from the content analysis: public health workforce's low professional status and the uncertain future of the public health workforce; links between the community and Higher Education institutions; the centrality of communication competencies; need to improve health promotion; the role of leadership, management, and partnership, and innovation in public health coherence. Increasing the attractiveness of the profession, professional and financial support, and improving the working conditions to ensure a sustainable and resilient PH system were deemed necessary. This paper describes and cultivates new knowledge and leadership skills among public health professionals, and lays the groundwork for future public health leadership preparedness programs.