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%.
CONCLUSIONS: 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.

[This corrects the article DOI: 10.3389/fpsyg.2024.1339604.].

暂无摘要。

Emergency medical service (EMS) personnel and firefighters (FFs) are first responders in dangerous and stressful situations. They experience high stress due to the nature of their jobs, which can affect their quality of life and various health dimensions. This study aimed to compare quality of life, job stress, and coping strategies in a sample of EMS personnel and FF employees in Iran. This cross-sectional study included 186 FFs and EMS, who were selected using a census sampling method. Our results showed that FFs had a better quality of life, lower perceived stress, and better coping skills than EMS. Individuals living in rural areas, government officials, and staff with regular work shifts also reported less perceived stress. Furthermore, our results indicated a negative and significant correlation between perceived stress and quality of life and a positive and significant correlation between stress management and quality of life in both groups. Given the inevitability of stress in EMS and FF jobs, policymakers need to take interventional measures to reduce anxiety and enhance the quality of life and work for these personnel. Occupational health policies in Iran generally follow the International Labor Organizational recommended standards, however, more attention to managerial interventions that reduce job demands and job stress combined with health promotion programs to improve coping are advised.

This study investigates the mediating role of Readiness to Change in the relationship between job stress and flourishing among Chinese medical teachers, as well as the highest order moderation of Extraversion and Neuroticism into this relationship. The research utilized a quantitative approach, surveying a sample of Chinese Medical Education teachers (N = 500) consisted of 342 males and 158 females with an age range between 30 and 65 (M = 43.69; SD = 9.31). The average tenure in the education landscape was 12.39 years (SD = 10.91) through an online platform. The primary aim was to explore how readiness attitudes influence the well-being and work capacity of Teachers in high-stress medical teaching environments. The survey incorporated self-assessment instruments to measure job stress, Readiness to Change attitudes, levels of flourishing, and personality traits (Extraversion and Neuroticism). Statistical analyses, including mediation models, were employed to test the relationships between these variables. Preliminary findings suggest a significant mediating role of Readiness to Change into the effects of job stress on flourishing and a moderation of extraversion into this relationship. The findings also failed to support the moderation of Neuroticism into the relationships, while the Higher order moderation showed a statistical marginal value. This indicates that effective readiness attitudes may not only mitigate the negative impacts of job stress but also enhance personal well-being and professional capacity. These results hold critical implications for the development of support systems and interventions aimed at fostering resilience and adaptive skills among medical teachers. Such initiatives could potentially improve job satisfaction, mental health, and teaching effectiveness in medical education settings. The study contributes to the growing body of literature on occupational stress and coping mechanisms in the educational sector, particularly within the field of medical education.

OBJECTIVE: To investigate the variables predicting job stress and intention to leave the job among nurses during the COVID-19 pandemic in Turkey.
METHODS: This research was designed as an analytical cross-sectional study.
METHODS: The population of the study consisted of 450 nurses working in a training and research hospital (N = 450). The study sample consisted of 178 nurses who worked in that hospital between February and July 2021. The Nurse Information Form, Job Stress Scale, and Intention to Leave Scale were used as data collection tools. The independent-sample t-test, one-way analysis of variance, and Pearson correlation analysis were applied for univariate analysis while multiple regression analysis was used for multivariate analysis.
RESULTS: It was determined that the main factors predicting nurses\' job stress levels were their Intention to Leave Scale scores, level of organizational satisfaction. The main factors predicting intention to leave were their Job Stress Scale scores, working conditions, and job satisfaction. A positive moderate correlation was found between job stress and intention to leave.
CONCLUSIONS: This study demostares that among nurses during the COVID-19 pandemic, the predictors of job stress were intention to leave and organizational satisfaction, while the predictors of turnover intention included job stress, working conditions, and job satisfaction. Hospital managers, especially nursing services managers, should develop strategies for extraordinary situations such as pandemics and evaluate the professional satisfaction of nurses while providing a healthy working environment.
UNASSIGNED: No patient or public contributions.

[This corrects the article DOI: 10.3389/fpubh.2022.981592.].

Chronic health conditions (CHCs) involve physical, psychological, and social challenges and can have a significant negative impact on work ability, which can then affect performance and job satisfaction. However, the various effects of CHCs on business operations and maintenance among self-employed workers are understudied. This study examined four common CHCs that are characterised by persistent symptoms and can prompt major life changes: respiratory disease, heart conditions, inflammatory bowel disease, and cancer survivorship. Groups were compared regarding the CHC\'s impact on business maintenance (declining in income and activity, and slowing business growth), and well-being. A sample of 294 self-employed workers with these CHCs completed questionnaires about how their conditions affect their businesses, physical symptoms, and well-being. The four CHCs had substantial negative effects on business maintenance. Differences were found in reported changes in income, activity, and growth between individuals with inflammatory bowel disease and cancer. No differences in well-being occurred among self-employed people with different CHCs. In the overall sample, work absences and slowing business growth were negatively associated with well-being. Although the groups differed in the severity of symptoms, threat to life, and treatment regimen, the CHCs had similar effects on most business maintenance factors and well-being. Moreover, the results indicate that the inability to maintain a business can negatively affect well-being.

BACKGROUND: Patient safety is paramount for all healthcare agencies. Health professionals\' lack of patient safety competencies threaten patients\' lives, and increase patients, families, hospitals, and social burdens. The new nurse-related patient safety issues have particularly attracted much attention. The aim of this study was to examine the impacts of practice environment and job stress on new nurses\' patient safety attitudes by employing the job demands-resources model.
METHODS: The study used a cross-sectional structural equation modeling (SEM). A convenience sample of 370 new nurses was recruited from seven tertiary hospitals in Anhui province, China, from April 2022 to August 2022. Data were collected using self-report questionnaires including the Chinese version of the Nurse Job Stressors Scale, the Practice Environment Scale, and the Safety Attitudes Questionnaire.
RESULTS: New nurses\' patient safety attitudes scores were moderate (126.99 ± 14.39). Practice environment had a significant direct effect on job stress (β = -0.337, t = 6.120), patient safety attitudes (β = 0.604, t = 13.766), practice environment had an indirect effect on patient safety attitudes through job stress (β = 0.066, t = 3.690), and the indirect effect accounted for 9.9% of the total effect. This model was able to explain 48.3% of patient safety attitudes with moderate prediction accuracy.
CONCLUSIONS: This study emphasizes the importance of improving new nurses\' attitudes toward patient safety. Hospital administrators should develop policies and strategies to address job characteristics, and establish a favorable work environment to reduce new nurses\' job stress as well as to improve patient safety.

UNASSIGNED: This time-lagged study delves into the impact of digitalization on job stress. Digitalization is defined as the incorporation of digital technologies into various aspects of work life, fundamentally transforming processes, interactions, and decision-making.
UNASSIGNED: The present research focuses on the mediating roles of job-related risk and personal risk, and the moderating effect of gender. We hypothesized that employees’ aversion to risks, both in their professional and personal facets, mediates the relationship between the rapid digitalization of their work environment and the resultant job stress. Regarding gender as a moderator, recent research suggests that gender can influence the experience of workplace stress, with women often experiencing higher levels of stress than men in certain situations. This indicates that gender might also moderate the relationship between digital living, risk perception, and job-related stress. This approach allows for an examination of the ways in which digital technology adoption influences workplace stress, considering the temporally spaced data.
UNASSIGNED: Conducted over three waves of data collection among 795 Chinese employees, the research utilizes Hayes’s Model 8, adept at revealing the dynamics of digitalization’s influence in the workplace and its effects on individual well-being.
UNASSIGNED: The study corroborates Hypothesis 1 by establishing a significant, albeit less pronounced, relationship between digital living and job stress. The findings also support Hypothesis 2 by demonstrating that both job risk and personal risk mediate this relationship. The study’s results also validate Hypothesis 3, indicating that gender moderates the relationship between digital living, job risk, personal risk, and job stress. Finally, the significant interaction effects found in the study, particularly the stronger conditional negative effect of digital living on perceptions of job and personal risks for males, despite the absence of statistical significance failed to support Hypothesis 4.
UNASSIGNED: This study sheds light on the dynamics of job stress in the context of a digitalizing work environment. The results have important implications for designing workplace strategies and interventions that are sensitive to risk perceptions and gender differences in the digital era.