BURNOUT, RESILIENCE AND PSYCHOLOGICAL FLEXIBILITY IN FRONTLINE NURSES DURING THE ACUTE PHASE OF THE COVID-19 PANDEMIC (2020) IN MADRID-SPAIN

Risk perception and quality of working life of nurses in infectious disease department in China: The chain-mediating effects of psychological resilience and social support

AIM

To determine whether social support and psychological resiliency are significant mediators of the associations between risk perception and quality of working life in Chinese nurses working with infectious diseases.

DESIGN

A cross-sectional study.

METHODS

A cross-sectional survey of 879 nurses in infectious diseases department of specialty or general hospitals in China completed online questionnaires on the nurses' risk perception questionnaire, quality of working life, psychological resilience and the social support rating scale.

RESULTS

Our study observed that risk perception directly negatively influences the quality of working life of infectious disease nurses, while psychological resilience and social support positively chain mediate this relationship.

CONCLUSION

Critical elements impacting the quality of working life of infectious disease nurses are risk perception, psychological resilience and social support. Managers may think about decreasing the level of risk perception and enhancing the quality of working life of infectious disease nurses by enhancing their psychological resilience and providing support.

PUBLIC CONTRIBUTION

The quality of working life of infectious disease nurses should be a priority for nursing management; it is critical to maintain their health and well-being, raise the quality of care and lower turnover. Managers should create resilience-building programmes and support tools to assist nurses properly perceive risks and adopt protective strategies to deal with them to improve the quality of working life for nurses.

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.

Exploring the relationships between resilience, burnout, work engagement, and intention to leave among nurses in the context of the COVID-19 pandemic: a cross-sectional study

BACKGROUND

Nurses have faced significant personal and professional stressors during the COVID-19 pandemic that have contributed to increased rates of burnout, intention to leave, and poorer work engagement. Resilience has been identified as a critical factor influencing job outcomes; however, the dynamics of this association have not yet been investigated within the context of the Thai workforce. The study objective was to determine the associations between resilience and job outcomes, including burnout, intention to leave, and work engagement among nurses working in Thailand during the COVID-19 pandemic.

METHODS

This cross-sectional study gathered data from a sample of 394 registered nurses employed across 12 hospitals. The research instruments comprised the Connor-Davidson Resilience Scale (CD-RISC), the Maslach Burnout Inventory-Health Services Survey (MBI-HSS), a questionnaire assessing the intention to leave the job, and the Utrecht Work Engagement Scale (UWES). To determine the associations among the measured variables, multivariate logistic regression analyses were conducted.

RESULTS

One-third of nurses experienced emotional exhaustion and depersonalization, and about half experienced reduced personal accomplishment; one-tenth of nurses intended to leave their job. Nurses who exhibited higher levels of resilience were found to have a significantly reduced likelihood of experiencing high emotional exhaustion, depersonalization, and a diminished sense of personal accomplishment. Conversely, these nurses were more likely to report higher levels of work engagement than their less resilience.

CONCLUSION

The COVID-19 pandemic offers important lessons learned about promoting the well-being of the nursing workforce and protecting against adverse job outcomes. While we identified resilience as a significant predictor of several nurse outcomes, other work environment factors should be considered. Government and hospital administrations should allocate resources for individual and organizational-level interventions to promote resilience among frontline nurses so that hospitals will be better prepared for the next public health emergency and patient and nurse outcomes can be optimized.

Exploring compassion satisfaction and compassion fatigue in emergency nurses: a mixed-methods study

BACKGROUND

Compassion fatigue can have detrimental effects on emergency nurses and the quality of patient care they deliver. Ongoing challenges such as operational pressures and the coronavirus disease 2019 (COVID-19) pandemic may have increased nurses' risk of experiencing compassion fatigue.

AIM

To explore and understand emergency nurses' experiences and perceptions of compassion satisfaction and compassion fatigue.

METHOD

This study used an explanatory sequential mixed-methods design comprising two phases. In phase one, the Professional Quality of Life (ProQOL-5) scale was used to obtain information on the prevalence and severity of compassion satisfaction and compassion fatigue among emergency nurses. In phase two, six participants' experiences and perceptions were explored via semi-structured interviews.

FINDINGS

A total of 44 emergency nurses completed the ProQOL-5 questionnaires. Six respondents had a high compassion satisfaction score, 38 had a moderate score and none had a low score. In the interviews, participants revealed different explanations regarding their compassion satisfaction levels. Three main themes were identified: personal reflections; factors identified as maintaining stability; and external factors affecting compassion.

CONCLUSION

Compassion fatigue needs to be prevented and addressed systemically to avoid detrimental effects on ED staff morale and well-being, staff retention, patients and care delivery.

Associations between COVID-19 Pandemic-Related Overtime, Perceived Chronic Stress and Burnout Symptoms in German General Practitioners and Practice Personnel-A Prospective Study

BACKGROUND

The mental burdens of general practitioners (GPs) and practice assistants (PrAs) during the COVID-19 pandemic are well investigated. Work-related conditions like overtime are known to contribute to perceived chronic stress and burnout symptoms. However, there is limited evidence regarding the specific mechanisms, which link pandemic-related overtime, chronic stress and burnout symptoms. This study used data from the IMPROVEjob trial to improve psychological well-being in general practice personnel.

METHODS

This prospective study with 226 German GPs and PrAs used the baseline (pre-pandemic: October 2019 to March 2020) and follow-up data (pandemic: October 2020 to April 2021) of the IMPROVEjob trial. Overtime was self-reported as hours above the regular work time. Perceived chronic stress was assessed using the Trier Inventory for the Assessment of Chronic Stress Screening Scale (TICS-SSCS), while burnout symptoms were evaluated using a short version of the Maslach Burnout Inventory (MBI). A mediation analysis investigated the differences of the three main variables between pre-pandemic and pandemic periods.

RESULTS

Burnout symptoms increased significantly from baseline to follow-up (p = 0.003). Overtime correlated positively with burnout symptoms (Total Effect: 0.13; 95% CI: 0.03, 0.23). Decomposition of the total effect revealed a significant indirect effect over perceived chronic stress (0.11; 95% CI: 0.06, 0.18) and no significant direct effect (0.02; 95% CI: -0.08, 0.12), indicating a full mediation.

CONCLUSION

In this large longitudinal study, pandemic-related overtime led to significantly higher levels of burnout symptoms, linked by a pathway through perceived chronic stress. Future prevention strategies need to aim at reducing the likelihood of overtime to ensure the mental well-being of practice personnel.

Burnout study during the COVID-19 pandemic in Thailand: psychometric evaluation of the Maslach Burnout Inventory-Human Services Survey for Medical Personnel

Objectives

This study aimed (1) to determine the psychometric properties of a Thai version of the Maslach Burnout Inventory-Human Services Survey for Medical Personnel (MBI-HSS [MP]) and (2) to examine the mean scores of burnout and associated factors during the COVID-19 pandemic.

Methods

Forward and back translations of the MBI-HSS (MP) questionnaire were performed. The Thai version was subsequently completed by 682 Thai physicians and nurses who worked during the COVID-19 pandemic. Exploratory factor analysis was performed on the first subsample (n = 341) by conducting Kaiser Mayer-Olkin sampling adequacy measurement and Bartlett's test of sphericity whereas confirmatory factor analysis (CFA) was performed on the second subsample (n = 341) using fit indices of the normed chi-square (χ2/df), the comparative fit index, the Tucker-Lewis index, and the root mean square error of approximation. This version's internal consistency was investigated using Cronbach's alpha coefficient. Demographic profiles were evaluated with descriptive and analytical statistics.

Results

The Thai version of the MBI-HSS (MP) displayed good psychometric characteristics, as the Cronbach's alpha values of the 3 burnout factors ranged from 0.843 to 0.945. The CFA also showed good fit indices (χ2/df = 4.473; P < 0.001; RMSEA = 0.075 (95%CI = 0.055-0.079); CFI = 0.946; and TLI = 0.936). The physicians' mean EE, DP, and PA scores were 25.28 ± 13.27, 7.15 ± 6.11, and 36.83 ± 8.13, respectively, whereas The nurses' mean EE, DP, and PA scores were 23.10 ± 14.14, 4.43 ± 5.06, and 35.67 ± 10.24, respectively. Healthcare professionals who were younger, single, had fewer years of practice, and had more working hours per week tended to express more burnout scores.

Conclusions

The Thai version of the MBI-HSS (MP) demonstrates good psychometric properties in assessing burnout among healthcare professionals. Several factors may be pivotal in intensifying burnout.

Sleep Quality and Its Relationship to Anxiety and Hardiness in a Cohort of Frontline Italian Nurses during the First Wave of the COVID-19 Pandemic

INTRODUCTION

The COVID-19 pandemic has had a considerable impact on the psychological and psychopathological status of the population and health care workers in terms of insomnia, anxiety, depression, and post-traumatic stress disorder. The primary aim of this study was to describe and evaluate the impact of the pandemic on insomnia levels of a cohort of Italian nurses, particularly those involved in the care of COVID-19 patients. The secondary aim was to identify the interaction between insomnia and hardiness, anxiety, and sleep disturbances.

MATERIALS AND METHODS

A descriptive-exploratory study was conducted using an online survey during the first wave of the COVID-19 pandemic (March to July 2020). The questionnaire consisted of multiple-choice, open-ended, closed, and semi-closed questions. The psychometric tools administered were the Dispositional Resilience Scale (DRS-15), the State-Trait Anxiety Inventory (STAI-Y), and the Insomnia Severity Index (ISI).

RESULTS

a cohort of 1167 nurses fully completed the questionnaire (86.2% of total respondents). The insomnia scale survey showed an increase in post-pandemic scores compared to those before the pandemic, implying that insomnia levels increased after the first pandemic wave. Insomnia scores were directly correlated with anxiety levels (r = 0.571; p ≤ 0.05) and inversely correlated with hardiness levels (r = -0.324; p < 0.001). Multivariate analysis revealed the following protective factors: not having worked in COVID-19 wards, high levels of hardiness (commitment), and the presence of high pre-pandemic insomnia disorder. The main risk factor for insomnia reported in the analysis was a high anxiety score.

DISCUSSION AND CONCLUSION

Anxiety represented the main risk factor for insomnia severity in our sample, while hardiness was confirmed as a protective factor. Thus, it is necessary to design further studies to identify additional risk factors for poor sleep quality and to develop educational courses and strategies aimed at enhancing rest and sleep quality, especially for frontline nurses.

Comparison between virtual and hybrid education for psychological factors and academic stress in freshman nursing students: a case-control study

BACKGROUND

The coronavirus 2019 (COVID-19) pandemic has prompted several changes in the learning methods of students. The purpose of this study was to establish whether a relationship between levels of resilience, self-esteem, anxiety, depression, and academic stress in both hybrid and virtual learning education exist.

METHODS

A descriptive and observational case-control study was carried out in universities that offer nursing designation. A total sample of 140 freshman nursing students was recruited. Concretely, 70 participants were recruited from an university receiving hybrid education and 70 participants were recruited from another university receiving virtual learning education. Nursing students self-reported the following questionnaires: the Rosenberg Self-Esteem scale, the 10 CD-Risk Connor-Davidson Risk Resilience Scale, the Beck Anxiety Inventory, the Beck Depression Inventory and the Academic Stress Coping Scale.

RESULTS

Significant differences (P = 0.001) showed higher depression levels for students who received virtual education versus received hybrid education. Differences in Rosenberg test for self-esteem and Beck Anxiety Inventory for anxiety (P > 0.05) were not found.

CONCLUSION

Students who received online education presented higher depression levels which could be due to they had not face-to-face relationships with teachers or classmates, whereas the hybrid education group received a different type of direct interaction with teachers and peers.