International Nursing Review最新文献

Aims: This study explores how perceived organizational support for strengths use influences nurses' job performance, specifically examining the mediating effects of control beliefs about stress and optimism.

Background: Identifying factors that enhance job performance is crucial in the demanding field of nursing. Previous research has highlighted the positive impact of perceived organizational support for strengths use on job performance.

Method: Conducted between May and October 2023, this study involved 653 nurses from various hospital settings across three Chinese provinces. A combination of convenience and snowball sampling methods ensured a representative sample. Questionnaires distributed via an online platform measured variables including perceived organizational support for strengths use, control beliefs about stress, optimism, and job performance. Data analysis utilized SPSS-25 and the PROCESS macro, with correlation and regression analyses examining the relationships between perceived organizational support for strengths use, control beliefs about stress, optimism, and job performance.

Results: Perceived organizational support for strengths use positively correlates with control beliefs about stress, optimism, and job performance. Control beliefs about stress and optimism serve as mediators in the relationship between perceived organizational support for strengths use and job performance, both independently and sequentially, with optimism being the more potent mediator.

Conclusions: This study demonstrates that control beliefs about stress and optimism independently and sequentially mediate the relationship between perceived organizational support for strengths use and job performance among nurses.

Implications for nursing and health policy: This research underscores the importance of creating a work environment that leverages nurses' strengths and fosters their ability to manage stress and maintain optimism in the face of workplace challenges. Such an environment can significantly enhance job performance and overall well-being among nurses.

Aim: This study was designed to examine the relationship between humble leadership and nurses' turnover intention and investigate the moderating role of leader expertise in this relationship.

Background: Leader humility and expertise are two key dimensions of professional spirit in competitive magnet organizations. Many organizational factors could make nurses take a decision to leave their organization; however, leader humility and expertise could help nurses retract from this decision.

Method: This is a multisite cross-sectional study that was conducted at all medical-surgical units of four university hospitals. Using scales for assessing leader humility, nurses' turnover intention, and leader expertise, 385 nurses were surveyed. Data were investigated via descriptive and inferential statistics, where correlation, path analysis, and structured equation modeling were used to test the hypothetical relationship among study variables.

Results: There is a statistically significant negative relationship between humble leadership and nurses' turnover intention. Humble leadership and leader expertise were significant predictors of nurses' turnover intention. The moderating effect of leader expertise on the relationship between humble leadership and nurses' turnover intention was statistically significant, making it more negative, implying that leader expertise amplifies the effect of leader humility on reducing nurses' turnover.

Conclusion: Incorporating leader expertise with humility could provide an efficient panacea for reducing turnover intentions among nurses in different healthcare organizations.

Implications for nursing and health policy: Healthcare organizations could develop an efficient retention plan for nurses by cultivating humility among both leaders and nurses. In addition, building nurse leaders' expertise through opening avenues for professional development is a good strategy in the face of nurses' shortage and high turnover. Furthermore, succession planning in healthcare organizations must consider humility as a vital skill among anticipated leaders.

Aim: To investigate the influence of cognitive fusion on stress among nurses, with a focus on exploring gender as a moderator among Jordanian nurses controlling for depressive symptoms.

Background: Stress is a significant concern among healthcare workers, particularly nurses, given the escalating work demands and organizational constraints.

Methods: Data were collected from 206 nurses using a cross-sectional design. Participants completed surveys that included measures for cognitive fusion, stress, and depressive symptoms. Statistical analysis included bivariate correlations, independent sample t-tests, and moderation analysis using Hayes PROCESS. The results were reported using The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guidelines.

Results: The findings revealed a moderate correlation among stress, cognitive fusion, and depressive symptoms. The regression model explained 42% of the variance in stress, with significant contributions from cognitive fusion, gender, depressive symptoms, and the interaction between cognitive fusion and gender. Gender moderated the relationship between cognitive fusion and stress, indicating differential effects for males and females.

Conclusion: This study underscores the importance of cognitive fusion in understanding and managing stress among nurses. The moderating effect of gender highlights the need for tailored interventions. Reducing stress among nurses may benefit their mental health and potentially enhance patient care and treatment outcomes. IMPLICATIONS FOR NURSING PRACTICE AND POLICY: The study highlights crucial implications for nursing policy. Addressing cognitive fusion is vital to reducing nurse stress, directly impacting patient care quality and healthcare outcomes. Policymakers should prioritize gender-aware strategies within nursing policies, fostering a less stressful and more supportive work environment. By doing so, healthcare institutions can enhance the well-being of nurses and ultimately improve patient care, aligning with broader healthcare policy objectives of patient safety and quality improvement.

Background: Turkey has faced a notable escalation in earthquake disasters in the last two decades. Despite initiating a health and disaster management system, nurses' pivotal roles and experiences in handling such crises have been disregarded.

Aim: This qualitative study analyzed nurses' experiences before, during, and after deployment in response to the 2023 Turkey earthquakes to enhance disaster-response efforts.

Methods: This descriptive qualitative study was conducted between March and May 2023 using semistructured interviews with 15 nurses purposively  sampled among those who volunteered to work in the earthquake zone. The MIRACLE and COREQ guidelines were followed for reporting qualitative research.

Findings: The analysis exposed five main themes for pre-tasking: moral obligation, motivation, insufficient experience, balancing responsibilities, and preparation challenges. The peri-task themes include responsibilities, skills, bravery and characteristics, workload management, teamwork, and outcomes. Post-tasking has three themes: competence assessment, career goals and aspirations, and support. Training and coping with anxiety and stress are common themes for all phases.

Conclusions: Disaster relief requires a comprehensive and coordinated response from healthcare organizations, government agencies, and support systems. Providing adequate training, ensuring safety protocols, offering mental health support, and fostering a fair and supportive work environment are crucial steps in mitigating the adverse effects on nurses and, by extension, the patient care process in earthquake-affected areas.

Implications for nursing and health policy: Nurse training in disaster preparedness should cover various response methods and involve multiple disciplines. Managers can help by arranging drills, simulations, online courses, and workshops and promoting partnerships for improved collaboration. Psychological support should be included to address emotional challenges. Regularly updating response policies based on past experiences is crucial for preparedness and efficiency.

Aim: To evaluate the effect of the fear of violence of nurses working in Turkey on their intention to migrate and to examine the mediating role of psychological well-being on this effect.

Background: Many countries are concerned about nurses' fear of violence and their intention to migrate. The fear of violence at work may influence nurses' intention to migrate. Additionally, psychological well-being may impact this process. However, the impact of the fear of violence at work on the intention to migrate, as well as the moderating effect of psychological well-being in a nursing context, is not well understood.

Methods: We conducted this cross-sectional study on a sample of 221 nurses from two public hospitals. We collected survey data between November 2022 and January 2023 using three scales. We analyzed the data using SPSS, AMOS, and HAYES. We followed the STROBE statement guidelines for cross-sectional studies.

Results: Nurses reported a moderate intention to migrate and a moderate to high level of fear of violence and psychological well-being. Fear of violence is positively associated with the intention to migrate. Mediation analyses indicated that the association between fear of violence and intention to migration was mediated by psychological well-being.

Discussion and conclusion: The fear among nurses of being exposed to violence increases their intention to migrate. However, high psychological well-being can reduce this intention.

Implications for nursing and health policy: Nursing managers, policymakers, and decision-makers need to take serious precautions against the fear of violence in the future and make necessary improvements for nurses who witness violence. To achieve this, it can begin by paying attention to the high psychological well-being of each nurse.

Aim: This study explores the influencing factors of attitudes and behaviors toward use of ChatGPT based on the Technology Acceptance Model among registered nurses in Taiwan.

Background: The complexity of medical services and nursing shortages increases workloads. ChatGPT swiftly answers medical questions, provides clinical guidelines, and assists with patient information management, thereby improving nursing efficiency.

Introduction: To facilitate the development of effective ChatGPT training programs, it is essential to examine registered nurses' attitudes toward and utilization of ChatGPT across diverse workplace settings.

Methods: An anonymous online survey was used to collect data from over 1000 registered nurses recruited through social media platforms between November 2023 and January 2024. Descriptive statistics and multiple linear regression analyses were conducted for data analysis.

Results: Among respondents, some were unfamiliar with ChatGPT, while others had used it before, with higher usage among males, higher-educated individuals, experienced nurses, and supervisors. Gender and work settings influenced perceived risks, and those familiar with ChatGPT recognized its social impact. Perceived risk and usefulness significantly influenced its adoption.

Discussion: Nurse attitudes to ChatGPT vary based on gender, education, experience, and role. Positive perceptions emphasize its usefulness, while risk concerns affect adoption. The insignificant role of perceived ease of use highlights ChatGPT's user-friendly nature.

Conclusion: Over half of the surveyed nurses had used or were familiar with ChatGPT and showed positive attitudes toward its use. Establishing rigorous guidelines to enhance their interaction with ChatGPT is crucial for future training.

Implications for nursing and health policy: Nurse managers should understand registered nurses' attitudes toward ChatGPT and integrate it into in-service education with tailored support and training, including appropriate prompt formulation and advanced decision-making, to prevent misuse.

Aim: This study aims to assess the levels of nomophobia among nurses and midwives employed at a gynecology and children's hospital and to explore its impact on their lives.

Methods: This descriptive cross-sectional study was conducted in a gynecology and pediatrics hospital situated in the western region of Turkey. The research sample comprised 112 nurses and midwives. Data collection was facilitated through an "Introductory Information Form" and the "Nomophobia Scale," with adherence to the STROBE checklist for reporting this cross-sectional study.

Results: The mean age of the participants was 34.50 ± 9.98 years. The average total score on the nomophobia scale was 68.45 ± 24.62, with 54.5% of participants classified as having moderate levels of nomophobia. Factors such as age, years of experience in nursing or midwifery, work patterns, and the habit of checking their phones immediately upon waking and before sleeping were found to influence their levels of nomophobia.

Conclusion: The study observed that mobile phone usage among nurses and midwives in a gynecology and pediatrics setting negatively affects their mental and physical health, with a moderate level of nomophobia being prevalent. Notably, older age and increased work experience were associated with lower nomophobia scores.

Implications for nursing practice: Initiatives aimed at preventing the onset of nomophobia are recommended, especially targeting younger nurses and midwives who play a crucial role in health service delivery.

Aim: To examine the relationship between nurses' competency levels in disaster nursing management, their disaster preparedness and disaster preparedness beliefs.

Background: Nurses' competency in disaster nursing management makes disaster response easier. Factors that may affect this reason should be examined.

Methods: The study was conducted between April and July 2023 with nurses working in a province in the first-degree earthquake zone in Turkey. The sample of the study consisted of a total of 207 nurses who were selected from primary, secondary, and tertiary care institutions by using the stratified sampling method. Data were collected with a personal information form, the Competencies for Disaster Nursing Management Questionnaire, the Disaster Preparedness Scale, and the General Disaster Preparedness Beliefs Scale. Mann-Whitney U and Kruskal-Wallis tests, Spearman regression coefficient, and multiple linear regression analysis were used to analyze the data.

Results: There was a positive correlation between nurses' competency levels regarding duties and responsibilities and their disaster preparedness levels. Having disaster-related training also positively affected the level of competence in duties and responsibilities. Belief in disaster preparedness and having "partial" knowledge about the disaster had no relationship with competencies.

Discussion: According to the International Council of Nurses and current studies on disaster nursing, "competence areas" are among the priority study subjects.

Conclusion: According to the study results, disaster preparedness and having disaster-related education are effective factors in nurses' competencies related to duties and responsibilities.

Implications for nursing policy: The results of this study may increase awareness in the healthcare system about nurses' disaster management competency levels and the factors that may affect this. It is recommended that disaster preparedness and disaster-related education factors should be taken into account in the initiatives and policies to be planned to improve the duty and responsibility competence of nurses.

Aim: This research examines the effects of artificial intelligence (AI)-based decision support systems (DSS) on the operational processes of nurses in critical care units (CCU) located in Amman, Jordan.

Background: The deployment of AI technology within the healthcare sector presents substantial opportunities for transforming patient care, with a particular emphasis on the field of nursing.

Method: This paper examines how AI-based DSS affect CCU nursing workflows in Amman, Jordan, using a cross-sectional analysis. A study group of 112 registered nurses was enlisted throughout a research period spanning one month. Data were gathered using surveys that specifically examined several facets of nursing workflows, the employment of AI, encountered problems, and the sufficiency of training.

Result: The findings indicate a varied demographic composition among the participants, with notable instances of AI technology adoption being reported. Nurses have the perception that there are favorable effects on time management, patient monitoring, and clinical decision-making. However, they continue to face persistent hurdles, including insufficient training, concerns regarding data privacy, and technical difficulties.

Discussion: The study highlights the significance of thorough training programs and supportive mechanisms to improve nurses' involvement with AI technologies and maximize their use in critical care environments. Although there are differing degrees of contentment with existing AI systems, there is a general agreement on the necessity of ongoing enhancement and fine-tuning to optimize their efficacy in enhancing patient care results.

Conclusion and implications for nursing and/or health policy: This research provides essential knowledge about the intricacies of incorporating AI into nursing practice, highlighting the significance of tackling obstacles to guarantee the ethical and efficient use of AI technology in healthcare.