Moral distress, psychological capital, and burnout in registered nurses

Xue, Bowen; Wang, Shujin; Chen, Dandan; Hu, Zhiguo; Feng, Yaping; Luo, Hong

doi:10.1177/09697330231202233

Cited by 11 publications

(6 citation statements)

References 57 publications

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“…For example, confident people believe more in their abilities, thus having more motivation to overcome difficulties; Optimistic people are more likely to see the positive side of problems and reduce negative emotions. Psychological capital and emotional exhaustion are interdependent (Xue et al, 2023a, b). Emotional exhaustion may weaken an individual's psychological capital, and lower psychological capital may also make it easier for individuals to experience emotional exhaustion (Xue et al, 2023a, b).…”

Section: The Predictive Indicators Of Trajectories Of Emotional Exhau...mentioning

confidence: 99%

“…Psychological capital and emotional exhaustion are interdependent (Xue et al, 2023a, b). Emotional exhaustion may weaken an individual's psychological capital, and lower psychological capital may also make it easier for individuals to experience emotional exhaustion (Xue et al, 2023a, b). One can try to alleviate emotional exhaustion by improving psychological capital, such as cultivating a positive mindset, exercising stress management skills, and establishing good social support.…”

Section: The Predictive Indicators Of Trajectories Of Emotional Exhau...mentioning

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: The Predictive Indicators Of Trajectories Of Emotional Exhau...mentioning

confidence: 99%

Section: The Predictive Indicators Of Trajectories Of Emotional Exhau...mentioning

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

Curr Psychol

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show abstract

“…As nurses gain experience and skills in clinical practice, they gradually build confidence in their abilities. Studies have found that nurses tend to have higher self-efficacy in specific areas such as emergency care and nursing skills (Xue, 2023). This indicates that self-efficacy may vary in different domains and tasks, depending on the nurse's professional knowledge and practical experience.…”

Section: International Journal Of Research Studies In Psychology 45mentioning

confidence: 99%

Psychological capital, work stress and burnout among Chinese clinical nurses

Song,

Landicho

2023

IJRSP

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The COVID-19 pandemic placed an immense burden on the healthcare system, and clinical nurses, as well-trained essential participants, made significant contributions to providing healthcare while also facing tremendous pressure. The mental health issues of nurses became increasingly prominent, and nurse burnout emerged as a growing concern. This study employed a quantitative descriptive research design to conduct a psychological health assessment from three aspects: nurses' work stress, psychological capital, and professional burnout. A total of 743 clinical nurses from large tertiary hospitals participated in the study, and standardized questionnaires were used for data collection and analysis. Frequency counts, percentages, means, and standard deviations were used to determine the demographic characteristics of clinical nurses in terms of age, sex, marital status, years of service, professional title, and department. Independent sample t-tests or analysis of variance (ANOVA) were used to explore the impact of sociodemographic variables on psychological capital, work stress, and burnout. Correlation analysis was used to determine if there were significant relationships between psychological capital, work stress, and burnout. The demographic data revealed that the majority of nurses participating in the study were female, with 87% being under the age of 40. Most were married and held primary or intermediate professional titles. Most nurses had a moderate level of psychological capital, high levels of work stress, and a moderate level of burnout. Differences in psychological capital were observed in terms of age, marital status, years of service, professional title, and department. Work stress only showed differences in the department variable, while burnout exhibited differences in age, years of service, professional title, and department variables. Nurse psychological capital was negatively correlated with nurse work stress, negatively correlated with nurse burnout, and nurse work stress was positively correlated with nurse burnout. Nurse psychological capital and work stress were able to explain the variance in burnout and played an important role in the formation of nurse burnout. The study also proposed a series of psychological health intervention plans to enhance the development of nurses' psychological capital, reduce work stress, and minimize the occurrence of nursing burnout.

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“…The positive outcomes of such educational interventions appear to last for months, providing improvements in nurses on a wide range of moral and mental health issues such as ethical confidence, moral competence, resilience, work engagement, mindfulness, emotional exhaustion, depression, and anger [39]. As moral distress often fosters burnout and nurses' turnover intention, this creates a mixture of difficult working conditions and burden [40,41]. In addition, burnout can also reduce resilience levels, which in turn affects turnover intention.…”

Section: Introductionmentioning

confidence: 99%

Moral Resilience Reduces Levels of Quiet Quitting, Job Burnout, and Turnover Intention among Nurses: Evidence in the Post COVID-19 Era

Galanis,

Moisoglou,

Katsiroumpa

et al. 2024

Nursing Reports

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The aim of the study was to examine the impact of moral resilience on quiet quitting, job burnout, and turnover intention among nurses. A cross-sectional study was implemented in Greece in November 2023. The revised Rushton Moral Resilience Scale was used to measure moral resilience among nurses, the Quiet Quitting Scale to measure levels of quiet quitting, and the single-item burnout measure to measure job burnout. Moreover, a valid six-point Likert scale was used to measure turnover intention. All multivariable models were adjusted for the following confounders: gender, age, understaffed department, shift work, and work experience. The multivariable analysis identified a negative relationship between moral resilience and quiet quitting, job burnout, and turnover intention. In particular, we found that increased response to moral adversity and increased moral efficacy were associated with decreased detachment score, lack of initiative score, and lack of motivation score. Additionally, personal integrity was associated with reduced detachment score, while relational integrity was associated with reduced detachment score, and lack of initiative score. Moreover, response to moral adversity was associated with reduced job burnout. Also, increased levels of response to moral adversity were associated with lower probability of turnover intention. Moral resilience can be an essential protective factor against high levels of quiet quitting, job burnout, and turnover intention among nurses. This study was not registered.

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Moral distress, psychological capital, and burnout in registered nurses

Cited by 11 publications

References 57 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

Psychological capital, work stress and burnout among Chinese clinical nurses

Moral Resilience Reduces Levels of Quiet Quitting, Job Burnout, and Turnover Intention among Nurses: Evidence in the Post COVID-19 Era

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