Surface acting, emotional exhaustion, career calling and turnover intention among student nurses: A cross-sectional study

Yu, Hong; Qiu, Meicha; Liu, Liting; Huang, Fajie; Wang, Kaixuan; Lin, Rong-Mao

doi:10.1016/j.nepr.2023.103641

Cited by 6 publications

(5 citation statements)

References 45 publications

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“…Higher scores indicated a higher level of emotional exhaustion in individuals. The scale is widely used among the nursing population in China (Hong et al, 2023;Xu et al, 2020), and had demonstrated good reliability and validity. The reliability of the scale in the original study was 0.818.…”

Section: Maslach Burnout Inventorymentioning

confidence: 99%

“…Once nursing staff experienced emotional exhaustion, it not only affected their physical and mental well-being but also impacted their treatment to the patients, leading to a decrease in work efficiency. This had serious implications for the nursing staff themselves, the hospital, and society as a whole (Hong et al, 2023). Moreover, emotional exhaustion, as a core component of occupational burnout, was considered an initial stage in the process, which only developed into full-blown burnout when individuals did not cope effectively with work-related stressors (Coelho et al, 2023;Yuguero et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, we hypothesized that emotional exhaustion in different clinical nurses may develop different trajectories over time. Despite scholars conducting relevant studies on the emotional exhaustion of nursing staff, most of the studies were mainly cross-sectional (Hong et al, 2023;Pohl et al, 2023). As a result, these research methods were unable to fully reflect the trajectory of changes in emotional exhaustion in clinical nurses (Ding & Wu, 2023;Karaca et al, 2023;Zhang et al, 2023), and overlook the dynamic temporal variations in emotional exhaustion experienced by nursing staff over time.…”

Section: Introductionmentioning

confidence: 99%

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Trajectories and predictors of emotional exhaustion in clinical nurses in the context of healthcare crisis: a case study in Xi’an, China

Wu,

He,

Zhang

et al. 2024

Curr Psychol

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This study investigated the growth trajectory of emotional exhaustion and its predictors in clinical nurses in the context of healthcare crisis in the post pandemic era. A total of 422 Chinese clinical nurses were followed up three times over two months from December 2022 to January 2023, and data from the final 358 clinical nurses were analyzed. The growth mixed model was used to identify the trajectory categories, and the predictive factors of the trajectory types were analyzed by logistic regression. The relationship of the trajectory types of emotional exhaustion with psychological capital were analyzed by variance analysis. The best-fit growth mixture modeling revealed three class models: Class 1 characterized by high and increasing levels of emotional exhaustion, Class 2 characterized by moderate and decreasing levels of emotional exhaustion, and Class 3 characterized by low and decreasing levels of emotional exhaustion. These classes accounted for 9.78%, 83.52%, and 6.70% of clinical nurses, respectively. The results of the univariate analysis indicated that age, years of working experience, gender, past participation in emergency public health event rescue, and sleep quality were associated with the trajectory of emotional exhaustion. Logistic regression analysis revealed that gender, past participation in emergency public health event rescue, and sleep quality were independent predictors of the emotional exhaustion trajectory. The variance analysis of the four dimensions of psychological capital showed that there were statistically significant differences in scores of self-efficacy and hope dimensions among the three groups of emotionally exhausted individuals. Our study demonstrated the heterogeneity of emotional exhaustion among clinical nursing personnel in coping with healthcare system overload. The psychological capital of nursing staff with different categories of emotional exhaustion varies. Managers should actively pay attention to the predictive role of gender, past participation in emergency public health event rescue, and sleep quality on the development of emotional exhaustion in clinical nurses.

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Section: Maslach Burnout Inventorymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Trajectories and predictors of emotional exhaustion in clinical nurses in the context of healthcare crisis: a case study in Xi’an, China

Wu,

He,

Zhang

et al. 2024

Curr Psychol

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show abstract

“…Higher scores indicated a higher level of emotional exhaustion in individuals. The scale is widely used among the nursing population in China [17,29], and had demonstrated good reliability and validity. The Cronbach's α coe cients of the scales used in this study were 0.823.…”

Section: Maslach Burnout Inventorymentioning

confidence: 99%

“…Once nursing staff experienced emotional exhaustion, it not only affected their physical and mental wellbeing but also impacted their treatment to the patients, leading to a decrease in work e ciency. This had serious implications for the nursing staff themselves, the hospital, and society as a whole [17]. Moreover, emotional exhaustion, as a core component of occupational burnout, was considered an initial stage in the process, which only developed into full-blown burnout when individuals did not cope effectively with work-related stressors [18,19].…”

Section: Introductionmentioning

confidence: 99%

Trajectories and Predictors of Emotional Exhaustion in Clinical Nurses in the Context of Healthcare Crisis: A Case Study in Xi'an, China

Wu,

He,

Zhang

et al. 2024

Preprint

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Background In response to the diminishing toxicity and fatality of the novel coronavirus, China implemented a policy shift at the end of 2022 to relax its control measures pertaining to the COVID-19 pandemic. Consequently, a rapid surge in community-level infections ensued, exerting a pronounced strain on the medical and healthcare systems and posing significant challenges and pressures for healthcare workers. Objective This study investigated the growth trajectory of emotional exhaustion and its predictors in clinical nurses in the context of healthcare crisis. Methods A total of 422 frontline clinical nursing staff from Xi’an, China, were followed up three times over two months, and data from the final 358 clinical nurses were analyzed. The growth mixed model (GMM) was used to identify the trajectory categories, and the predictive factors of the trajectory types were analyzed by logistic regression. The relationship of the trajectory types of emotional exhaustion with psychological capital were analyzed by variance analysis. Results The best-fit growth mixture modeling revealed three class models: Class 1 characterized by high and increasing levels of emotional exhaustion, Class 2 characterized by moderate and decreasing levels of emotional exhaustion, and Class 3 characterized by low and decreasing levels of emotional exhaustion. These classes accounted for 9.78%, 83.52%, and 6.70% of clinical nurses, respectively. The results of the univariate analysis indicated that age, years of working experience, gender, past participation in emergency public health event rescue, and sleep quality were associated with the trajectory of emotional exhaustion. Different groups of nursing personnel had varying levels of psychological capital, with higher levels of emotional exhaustion associated with lower levels of psychological capital. Logistic regression analysis revealed that gender, past participation in emergency public health event rescue, and sleep quality were independent predictors of the emotional exhaustion trajectory. Female clinical nurses who had not participated in emergency public health event rescue and had poor sleep quality were more likely to experience persistent high levels of emotional exhaustion. Conclusion Our study demonstrated the heterogeneity of emotional exhaustion among frontline clinical nursing personnel in coping with healthcare system overload, and the significant impact of gender, past participation in emergency public health event rescue, and sleep quality on the development of emotional exhaustion in clinical nurses. Healthcare administrators should prioritize their attention to clinical nurses who are at a higher risk of developing a persistent high emotional exhaustion pattern and provide targeted interventions.

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Latent profiles of narrative competence and professional identity among nursing students: A cross-sectional analytic study based on the Ring theory of personhood

Huang,

Li,

Qiu

et al. 2024

Nurse Education in Practice

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Surface acting, emotional exhaustion, career calling and turnover intention among student nurses: A cross-sectional study

Cited by 6 publications

References 45 publications

Trajectories and predictors of emotional exhaustion in clinical nurses in the context of healthcare crisis: a case study in Xi’an, China

Trajectories and predictors of emotional exhaustion in clinical nurses in the context of healthcare crisis: a case study in Xi’an, China

Trajectories and Predictors of Emotional Exhaustion in Clinical Nurses in the Context of Healthcare Crisis: A Case Study in Xi'an, China

Latent profiles of narrative competence and professional identity among nursing students: A cross-sectional analytic study based on the Ring theory of personhood

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