Determining the effect of selected mental factors on turnover intention through two modulators - stress and resilience over COVID-19 period

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.

Elevated prevalence and treatment of sleep disorders from 2011 to 2020: a nationwide population-based retrospective cohort study in Korea

OBJECTIVES

This study used National Health Insurance claims data from Korea to report the prevalence of sleep disorders and treatment status, including traditional Korean medicine, in the last 10 years.

METHODS

This is a retrospective cohort study in Korea. All diagnosis and prescription data, including herbal medicine claims, from the Health Insurance Review and Assessment Service from 2011 to 2020 were reviewed. Prevalence estimation, direct medical expenses and prescribed amounts for sleep disorders were recorded.

RESULTS

The prevalence of sleep disorders increased from 3 867 975 (7.62%) in 2011 to 7 446 846 (14.41%) in 2020, nearly doubling over 10 years. Insomnia was observed in 91.44% (n=9 011 692) of the patients. The mean number of hospital visits per patient for sleep disorders was 11.5 (±26.62). Benzodiazepines are the most commonly prescribed medications for sleep disorders, and gamma-isoyosan is the most frequently prescribed herbal medicine.

CONCLUSIONS

Sleep disorders are continuously increasing, as is the use of medical services-personal and social medical expenses are also increasing accordingly. Sleep disorders should be recognised as a significant health problem that needs to be actively addressed to improve quality of life.

Effects of work-family conflict on turnover intention among primary medical staff in Huaihai Economic Zone: a mediation model through burnout

Background

Countries worldwide face the challenge of how medical personnel manage conflicts between work and family. Especially after the challenge of the COVID-19 epidemic, it is necessary to explore the possible mechanisms of work-family conflict, burnout, and turnover intention among primary medical staff.

Objectives

This study aims to observe the turnover intention of Chinese primary medical staff and explore the relationship between work-family conflict, burnout, and turnover intention.

Methods

A cross-sectional study included a turnover intention questionnaire, the Maslach Burnout Inventory-General Survey (MBI-GS), and the Work-Family Conflict Scale (WFCS) to understand turnover intention, burnout, and work-family conflict among primary medical staff in four cities (Xuzhou, Linyi, Huaibei, and Shangqiu cities) within the Huaihai Economic Zone. Spearman correlation analysis and hierarchical multiple regression analysis were used to examine the related factors of turnover intention. Structural equation modeling (SEM) was used to study the mediating role of burnout between work-family conflict and turnover intention.

Results

In this study, there is a positive correlation between work-family conflict and turnover intention (P < 0.01). Demographic characteristics, work-family conflict, and burnout explained 2.3%, 20.3%, and 8.8% of the incremental variances, respectively. Burnout mediated the association between work-family conflict and turnover intention.

Conclusions

Burnout can be regarded as a mediator between two different variables: work-family conflict and turnover intention. Improving work-family conflict and alleviating burnout may play a key role in reducing the willingness of primary medical staff to resign. Corresponding measures can be taken to balance the conflict between work and family, alleviate burnout, reduce turnover rates, and build a primary medical staff team with higher medical service quality and stability.