Level of resilience in nurses working at COVID-19 referral centers in Iran

A latent profile analysis of psychological resilience associated with work fatigue among Chinese nurses

Nurses' psychological resilience has been studied using a variable-centered rather than a person-centered approach, impeding a comprehensive understanding of the holistic expression of these different forms of psychological resilience. This study aimed to examine the characteristics of psychological resilience in a sample of Chinese nurses during COVID-19 using latent profile analysis (LPA) and the relationships between these unique profiles and nurses' work fatigue. A total of 471 Chinese nurses were recruited from three hospitals in Hebei Province between June and July 2020. The participant samples were investigated with the psychological resilience scale and the work fatigue inventory. LPA showed that a three-profile model of psychological resilience best fit this study. The resulting profiles were low psychological resilience, medium psychological resilience, and high psychological resilience. Notably, there were significant differences in nurses' work fatigue among different profiles of psychological resilience. The study provided a new view of nurses' psychological resilience, which may be used to effectively reduce nurses' work fatigue and evaluate nursing work status comprehensively.

Development and validation of the Nurse Team Resilience Scale (NTRS) in the context of public health emergencies

BACKGROUND

Team resilience can help nurse to respond positively to adversity at work and maintain normal team function in complex and unstable environments. However, much less research attention has been paid to team resilience than to individual resilience, and nurses lack reliable and valid tools to measure team resilience. This study aimed to develop and evaluate the psychometric properties of a scale that measures the nursing team resilience in the context of a public health emergency.

METHODS

The study was conducted in three stages that item development, scale development, and scale evaluation. This scale was based on that of Morgan and Sharma et al. proposed four-factor team resilience model, and the draft scale was generated based on the literature review, existing scales, experts' validations, and cognitive interviews. During July 2022 to August 2022, the construct validity and the internal consistency reliability of the NTRS were evaluated through an online survey of 421 nurses.

RESULTS

The 8-item NTRS scale has good reliability and validity and is suitable for measuring the nurse team resilience. The EFA found a common factor solution and explained 72.33% of the common varianc and the CFA score showed construct validity. Reliability of the internal consistency of the scale with a good Cronbach alpha of 0.94.

CONCLUSION

This scale can assess team resilience in nurses that nursing education and management resources can be allocated to improve policies and training programs to provide effective positive support to nurses in challenging workplace situations and to enable greater health systems resilience in the future.

Transformational leadership and predictors of resilience among registered nurses: a cross-sectional survey in an underserved area

BACKGROUND

High resilience increases nurses' ability to cope with job-related stressors and enhances job satisfaction and, consequently, their retention. The study aims to identify resilience predictors and perceptions of transformational leadership in a convenience sample of registered nurses in Lebanon.

METHODS

An anonymous cross-sectional survey of a convenience sample of 240 registered nurses working for more than a year at three private hospitals in an underserved area in South Lebanon was used. The survey instrument included demographic questions, the True Resilience Scale ©, and the Global Transformational Leadership Scale. Multiple linear regression was used to assess the predictors of resilience after a descriptive analysis of the study variables.

RESULTS

The survey response rate was 85%. The nurses' mean resilience score was 119.4 (SD 15.3), and their perception of transformational leadership score was M = 25.0, SD = 6.8. Compared to bedside nurses, nurse managers, nurses with more than five years of experience, and nurses in critical nursing units had statistically significant higher resilience scores (p < 0.05). Resilience scores and perception of global transformational leadership were moderately correlated (r = 0.53, p < 0.05). In the final multiple linear regression model, 30% of the variation in resilience scores was explained by designation (p < 0.05) and perception of Global Transformational Leadership (p < 0.01). Perception of global transformational leadership scores explained 29% of the variance in resilience scores. Designation and perception of global transformational leadership predicted resilience in this sample.

CONCLUSIONS

A national survey of the Lebanese nursing workforce is needed to achieve an improved predictive model and support policy developments to increase resilience among bedside nurses and retain them in the nursing workforce. Nurse administrators can help by strengthening their transformational leadership behaviors. Consistent use of transformational leadership styles will strengthen bedside nurses' resilience, increase nurse retention, and help sustain the Lebanese nursing workforce.