The relationships among overcommitment, effort-reward imbalance, safety climate, emotional labour and quality of working life for hospital nurses: a structural equation modeling

Overcommitment, Work-Related Behavior, and Cognitive and Emotional Irritation in Veterinarians: A Comparison of Different Veterinary Working Fields

Mental health is a serious problem among veterinarians. The aim of this study was to analyze work-related behaviors and experience (AVEM), overcommitment (OC), and cognitive and emotional irritation (IS) in different veterinary working fields. The survey included 724 German veterinarians (average age 41.0 ± 9.72 years). Validated questionnaires were used to assess overcommitment, work-related behavior and experience patterns (health-promoting pattern G or S; health-hazardous risk pattern A or B), and irritation in several working fields. A correlation analysis and a multivariate test were performed. Increased OC was observed in 35.8% of veterinarians (mixed animals vs. inspectors, p = 0.042; small vs. mixed animals, p = 0.001). A total of 66% of veterinarians exhibited AVEM risk pattern A or B. There was no significant association of AVEM risk patterns and veterinary specialty. Only the AVEM dimension "tendency toward resignation in the face of failure" differed among working fields (p = 0.04). Regardless of direct animal contact, German veterinarians showed increased psychological stress. Inadequate compensation and prolonged stress are significant factors that can lead to burnout or depression. These risks should be considered in the context of occupational healthcare.

Incidence of effort-reward imbalance among nurses: a systematic review and meta-analysis

Introduction

To systematically evaluate the incidence of effort-reward imbalance among nurses.

Method

PubMed, Web of Science, Embase, CNKI, WanFang Data, and VIP databases were searched to collect studies on the incidence of effort-reward imbalance among nurses. The search timeframe was from database construction to December 2023. Two researchers independently screened the literature, extracted the data, and evaluated the risk of bias in the included studies. The meta-analysis was performed using Stata 17.1 software.

Results

A total of 60 studies, including 79,644 participants, were included. The prevalence of effort-reward imbalance among nurses was 52.3% (95% CI: 44.9-59.7%). In terms of time, the incidence of effort-reward imbalance among nurses before 2010 (26.6, 95%CI: 6.8-46.4%) and in 2010-2015 (42.4, 95%CI: 32.1-52.8%), 2016-2020 (60.2, 95%CI: 49.6-70.7%), and 2021-2023 (65.0, 95%CI: 51.5-78.4%) continued to increase. Geographically, Asia (57.4, 95%CI: 51.8-63.1%) nurses had a relatively higher prevalence of effort-reward imbalance. In terms of department, the incidence of effort-reward imbalance among nurses was relatively higher in operating rooms (71.8, 95%CI: 64.5-79.0%), ICU (64.6, 95%CI: 27.7-100.0%), emergency (68.7, 95%CI: 62.9-74.5%), and pediatrics (65.8, 95%CI: 32.2-99.3%).

Discussion

The prevalence of nurse effort-reward imbalance is high, and there are differences in its prevalence across time, geography, department. Hospital administrators should actively take measures to effectively prevent and reduce the effort-reward imbalance for nurses, especially for nurses in Asia, operating rooms, emergency pediatrics and ICU departments.

Systematic review registration

PROSPERO (CRD42023452428).

Evaluating the association between effort-reward imbalance and suboptimal health status among hospital nurses: a cross-sectional study

OBJECTIVES

Occupational stress is a common complaint in nurses, who perceived more sense of effort-reward imbalance (ERI). Suboptimal health status (SHS) is a state between health and disease. However, the correlation between ERI and SHS is unclear. Therefore, the aim of this study was to examine the prevalence of SHS and ERI and evaluate the relationship between ERI and SHS in clinical nurses by a cross-sectional study.

MATERIAL AND METHODS

The current cross-sectional study was conducted through an online survey at Dongping People's Hospital in China. A total of 633 completed surveys were received. Effort-reward imbalance was measured by subscales of the ERI questionnaire. SHS was measured by the Suboptimal Health Status Questionnaire - 25 (SHSQ-25). The relationship between ERI and SHS in nurses was subsequently assessed by Spearman's correlation coefficient and logistic regression model.

RESULTS

The mean age of the optimal health status (OHS) group (M±SD 26.3±7.3 years) was younger than the SHS group (M±SD 30.3±6.9 years). The prevalence of SHS was 54.5% (345/633). Female nurses aged ≥30 years, a junior college or university graduate educational level, smokers, and nurses without regular exercise were at a higher risk of SHS. In Spearman's correlation analysis, ERI reflected by the effort-reward ratio was correlated with SHSQ-25 score (r = 0.662, p < 0.001). In logistic regression, ERI was strongly associated with SHS after potential confounding factors adjusting (OR 27.924, 95% CI 22.845-34.132).

CONCLUSIONS

The prevalence of SHS was significantly high in clinical nurses. Administrators should pay more attention to health status of female nurses aged ≥30 years, with a junior college or bachelor's degree, smoking, and without regular exercise to reduce the SHS and ERI. Int J Occup Med Environ Health. 2024;37(2):166-75.

Factor Affecting the Quality of Work Life Among Nurses: A Systematic Review

Objective

This literature review evaluates the factors that affect nurses' quality of work life with the goal of enhancing their overall well-being, work experience, and creating a more supportive and satisfying work environment in the nursing field.

Methods

A systematic review was conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Electronic databases including Scopus, PubMed, SAGE Journal, and Springer were searched for scientific articles on the quality of work life among nurses. After screening and removal of duplicates, we analyzed the full text of the articles to identify potentially relevant studies for eligibility, and then we extracted data from the articles that matched.

Results

The search of the literature resulted in 68 articles. Only 20 articles that met all inclusion criteria were included in the systematic review after full text review.

Conclusion

The literature indicates that nurses' work life quality is affected by three primary factors: personal (socio-demographic), occupational, and psychological. Identifying the factors is critical to finding the right solution for improving work life quality and overcoming factors that decrease nurses' work life quality.