Nursing professionals' mental well-being and workplace impairment during the COVID-19 crisis: A Network analysis

A Bayesian approach to reveal the role of psychological factors on turnover intention among nurses during the COVID-19 pandemic

BACKGROUND

Turnover intention is considered a significant challenge for healthcare and treatment organizations. The challenging conditions of treating COVID-19 patients and the physical and mental stress imposed on nurses during the pandemic may lead them to leave their jobs. The present study aimed to determine the role of psychological factors (general health, mental workload, work-family conflicts, and resilience) on turnover intention using a Bayesian approach during the COVID-19 pandemic.

METHODS

The present cross-sectional study was carried out during the winter of 2021 at three hospitals in Khuzestan Province, Iran. To collect data for this investigation, 300 nurses were chosen based on Cochran's formula and random sampling technique. Seven questionnaires, including General Health, Mental Workload, Work-Family Conflict, Resilience, Job Stress, Fear of COVID-19, and Turnover Intention Questionnaires. Bayesian Networks (BNs) were used to draw probabilistic and graphical models. A sensitivity analysis also was performed to study the effects of the variables. The GeNIe academic software, version 2.3, facilitated the examination of the Bayesian network.

RESULTS

The statistically significant associations occurred between the variables of fear of COVID-19 and job stress (0.313), job stress and turnover intention (0.302), and resilience and job stress (0.298), respectively. Job stress had the highest association with the fear of COVID-19 (0.313), and resilience had the greatest association with the work-family conflict (0.296). Also, the association between turnover intention and job stress (0.302) was higher than the association between this variable and resilience (0.219). At the low resilience and high job stress with the probability of 100%, the turnover intention variable increased by 20%, while at high resilience and low job stress with the probability of 100%, turnover intention was found to decrease by 32%.

CONCLUSION

In general, the results showed that four psychological factors affect job turnover intention. However, the greatest impact was related to job stress and resilience. These results can be used to manage job turnover intention in medical environments, especially in critical situations such as COVID-19.

The well-being of nurses working in general practice during the COVID-19 pandemic: A qualitative study (The GenCo Study)

AIM

Exploration of experiences of nurses working in general practice during the COVID-19 pandemic to evaluate the impact on nurses' professional well-being.

DESIGN

An exploratory qualitative study comprised of case studies of three general practice sites in England and a nationwide interview study of nurses working in general practice and nurse leaders. The study was funded by The General Nursing Council for England and Wales Trust. University of York ethics approval (HSRGC/2021/458/I) and Health Research Authority approval was obtained (IRAS: 30353, Protocol number: R23982, Ref 21/HRA/5132, CPMS: 51834).

METHODS

Forty participants took part. Case site data consisted of interviews/focus groups and national data consisted of semi-structured interviews. Data collection took place between April and August 2022. Analysis was underpinned by West et al.'s The courage of compassion. Supporting nurses and midwives to deliver high-quality care, The King's fund, 2020 ABC framework of nurses' core work well-being needs.

FINDINGS

The majority of participants experienced challenges to their professional well-being contributed to by lack of recognition, feeling undervalued and lack of involvement in higher-level decision-making. Some participants displayed burnout and stress. Structural and cultural issues contributed to this and many experiences pre-dated, but were exacerbated by, the COVID-19 pandemic.

CONCLUSIONS

By mapping findings to the ABC framework, we highlight the impact of the COVID-19 pandemic on the well-being of nurses working in general practice and contributing workplace factors. The issues identified have implications for retention and for the future of nursing in general practice. The study highlights how this professional group can be supported in the future.

IMPACT

The study contributes to our understanding of the experiences of nurses working in general practice during the COVID-19 pandemic and beyond. Findings have implications for this skilled and experienced workforce, for retention of nurses in general practice, the sustainability of the profession more broadly and care quality and patient safety.

REPORTING METHOD

Standards for Reporting Qualitative Research (O'Brien et al. in Journal of the Association of American Medical Colleges, 89(9), 1245-1251, 2014).

PATIENT OR PUBLIC CONTRIBUTION

As this was a workforce study there was no patient or public contribution.

Renewing the Nursing Culture: Sustaining the Professional Community of Practice Through the Role of the Preceptor

Culture is the driving frame within which all human action takes form. This article explores the elements and characteristics of culture and applies them to the nursing professional community of practice. As it drills down to the work in the cultural context, it argues for the central role of the preceptor in evidencing the influence of culture. For onboarding nurses and the nursing community, the preceptor becomes the carrier of culture, demonstrating the impact of culture in a way that exhibits its influence and impact on nursing practice and patient care.

Prevalence and associated factors of work impairment among geriatricians during the COVID-19 pandemic in Japan

AIM

This study investigated work impairment and its associated factors among geriatricians during the coronavirus disease 2019 (COVID-19) pandemic.

METHODS

This cross-sectional study was carried out using an anonymous online survey questionnaire administered to members of the Japanese Geriatric Society between October and December 2022. The questionnaire included questions regarding psychological distress (Kessler Psychological Distress Scale), fear of COVID-19 (Fear of COVID-19 Scale) and work impairment (Work Functioning Impairment Scale). Multivariate logistic regression analyses were carried out to determine the factors associated with work impairment. Causal mediation analyses were performed to delineate the relationship between work impairment, psychological distress and fear of COVID-19.

RESULTS

The analytic sample included 386 geriatricians, and work impairment was observed in 24.8% of them. Work impairment was associated with age, prefecture where the institution was located and fear of COVID-19. Mediation analysis showed that the effect of fear of COVID-19 on work impairment was almost completely mediated by psychological distress.

CONCLUSION

During the COVID-19 pandemic, work impairment was commonly observed among geriatricians. We found that fear of COVID-19 might cause work impairment; however, this effect was exerted entirely through psychological distress. This implies that interventions to prevent or reduce work impairment among doctors should mainly target psychological distress; however, the fear of COVID-19, if it causes psychological distress, should also be addressed. Managers of hospitals and long-term care facilities must take steps to protect healthcare workers' mental well-being and maintain work productivity. Therefore, understanding the factors related to work impairment might help them devise effective measures. Geriatr Gerontol Int 2024; 24: 215-220.

Short-term professional bereavement reactions and their links with the meaning of patient death: Evidence from network analyses

OBJECTIVES

Taking a dimensional view, this study aims to understand, among professional caregivers after patient deaths, the symptom distribution and development of the short-term bereavement reaction (SBR) network and the node-level links between the meaning of patient death (MPD) and the SBR network.

METHODS

A cross-sectional secondary analysis was conducted with existing data from 220 Chinese urban hospital nurses and physicians who experienced the most recent patient death within a month. MPD was measured by the 10 formative items of the meaning of patient death model, and SBR was measured by the Short-term Bereavement Reactions Subscale of the Professional Bereavement Scale. Both Gaussian graphical network analysis and Bayesian network analysis were applied to the SBR network, and Gaussian graphical network analysis was used to estimate the MPD-SBR network.

RESULTS

Frustrated and guilty are central nodes in the regularized partial correlation SBR network. Meanwhile, a traumatic event and failure at work are important bridge nodes between the MPD network and the SBR network. In the Bayesian SBR network, moved by the family's understanding, moved by the family's gratitude and sad mainly drive other nodes.

CONCLUSION

After a patient death, nurses' and physicians' SBR networks feature professional-dimension symptoms at their core, while they follow 'personal to professional' and 'concrete to abstract' symptom development patterns. The personal meaning of a traumatic event and the professional meaning of a failure at work play key roles in bridging the MPD and SBR networks, and meanings of both the personal and the professional dimensions can link to professional-dimension reactions.

REPORTING METHOD

The manuscript followed the STROBE checklist for reporting cross-sectional studies.

PATIENT OR PUBLIC CONTRIBUTION

No patient or public contribution.

The Relationship Between Nurses' Psychological Well-Being and Their Work Productivity Loss: A Descriptive Correlational Study

Introduction

Nurses play a vital role in ensuring effective patient care delivery and organizational productivity. Hence, it becomes imperative to prioritize their psychological well-being and explore how its impairment may be associated with their productivity loss.

Aims

The study aims to investigate the relationship between nurses' psychological well-being and their work productivity loss by examining how nurses self-reported their own psychological well-being and work productivity loss.

Methods

A descriptive correlational design was conducted at an Egyptian university hospital. A convenience sample of 400 nurses completed two tools: (a) Outcome Questionnaire-45 was used to assess the psychological well-being of nurses and (b) the Work Productivity and Activity Impairment - General Health Questionnaire was used to measure nurses' work productivity.

Results

Among the 400 surveyed nurses, 66.7% reported overall poor psychological well-being. Regarding work productivity loss, 22.8% of nurses missed an average of 974.81 work hours due to absenteeism, and 62.0% lost an average of 10,630 work hours due to presenteeism. Additionally, 75.5% experienced impaired daily living activities. Approximately 13.4% of total working hours were missed due to health problems or psychological distress. Regression analysis revealed that poor psychological well-being significantly predicts work productivity loss, accounting for 2.0% of absenteeism, 11.0% of presenteeism, 17.0% of daily activity impairment, and 9.0% of overall productivity loss, with the model being significant (p < 0.01).

Conclusion

Nurses often experience poor psychological well-being and distress that hinder their daily activities and cause work productivity loss. Therefore, hospital management should prioritize improving nurses' physical and mental health and bolstering their self-efficacy and resilience to minimize the effects of symptom distress on productivity. Investing in nurses' well-being through managerial caring, organizational support, and fostering a supportive work environment are vital strategies for promoting quality patient care and enhancing their work productivity.

Prevalence of COVID-19 fear and its association with quality of life among fire service recruits after ceasing the dynamic zero-COVID policy in China

Background

In December 2022, China terminated its dynamic zero-COVID policy. To date, however, no research has been conducted upon mental health issues and their relationship with quality of life (hereafter QoL) among fire service recruits since the dynamic zero-COVID policy ended. This study explored fear of COVID-19 (FOC) prevalence and correlates as well as its network structure and interconnections with QoL among fire service recruits.

Methods

A cross-sectional survey design was used to assess fire service recruits in Beijing and Sichuan, Guangxi and Guizhou provinces of China between February 13 and 16, 2023. Fear of COVID-19 was measured using the Fear of COVID-19 Scale, depression was assessed with the Patient Health Questionnaire, anxiety was examined using the Generalized Anxiety Disorder scale, and QOL was evaluated with the World Health Organization Quality of Life-brief version. Univariate and multivariate analyses were used to explore correlates of COVID-19 fear. Network analysis assessed the structure of fear of COVID-19 and its associations with QoL.

Results

A total of 1,560 participants were included in this study. The overall prevalence of fear of COVID-19 was 38.85% (n = 606; 95% CI = 36.42-41.32%). Being afraid of COVID-19 was significantly related to depression (OR = 1.084; p < O.OO1) and physical fatigue (OR = 1.063; p = 0.026). Fire service recruits with more fear of COVID-19 had lower QOL (F = 18.061 p < 0.001) than those with less fear of COVID-19 did. The most central symptoms included FOC6 ("Sleep difficulties caused by worry about COVID-19"), FOC7 ("Palpitations when thinking about COVID-19") and FOC2 ("Uncomfortable to think about COVID-19"). The top three symptoms negatively associated with QoL were FOC4 ("Afraid of losing life because of COVID-19"), FOC6 ("Sleep difficulties caused by worry about COVID-19") and FOC2 ("Uncomfortable to think about COVID-19").

Conclusion

Over one-third of fire service recruits reported fear of COVID-19 after China's dynamic zero-COVID policy had terminated. Poorer QoL was related to fear of COVID-19. Targeting core symptoms of the fear network structure could help improve the physical and mental health of fire service recruits during public health crises.

Social and Medical Determinants of Diabetes: A Time-Constrained Multiple Mediator Analysis

Background A number of studies have shown an association between social determinants of health and the emergence of obesity and diabetes, but whether the relationship is causal is not clear. Objective To test whether social, environmental, and medical determinants directly or indirectly affect population-level diabetes prevalence after controlling for mediator-mediator interactions. Methods Data were obtained from the CDC and supplemented with nine other data sources for 3,109 US counties. The dependent variable was the prevalence of diabetes in 2017. Independent variables were a given county's 30 social, environmental, and medical characteristics in 2015 and 2016. A network multiple mediation analysis was conducted. First, we used Least Absolute Shrinkage and Selection Operator (LASSO) regression to relate the 2017 diabetes rate in each county to 30 predictors measured in 2016, identifying statistically significant and robust predictors as the mediators within the network model and as direct determinants of 2017 diabetes. Second, each of the direct causes of diabetes was taken as a new response variable and LASSO-regressed on the same 30 independent variables measured in 2015, identifying the indirect (mediated) causes of diabetes. Subsequently, these direct and indirect predictors were used to construct a network model. The completed network was then employed to estimate the direct and mediated impact of variables on diabetes. Results For 2017 diabetes rates, 63% of the variation was explained by five variables measured in 2016: the percentage of residents who were (1) obese, (2) African American, (3) physically inactive, (4) in poor health condition, and (5) had a history of diabetes. These five direct predictors, measured in 2016, mediated the effect of indirect variables measured in 2015, including the percentage of residents who were (1) Hispanic, (2) physically distressed, (3) smokers, (4) living with children in poverty, (5) experiencing limited access to healthy foods, and (6) had low income. Conclusion All of the direct predictors of diabetes prevalence, except the percentage of residents who were African American, were medical conditions potentially influenced by lifestyles. Counties characterized by higher levels of obesity, inactivity, and poor health conditions exhibited increased diabetes rates in the following year. The impact of social determinants of illness, such as low income, children in poverty, and limited access to healthy foods, had an indirect effect on the health of residents and, consequently, increased the prevalence of diabetes.

The neurocognitive impact of loneliness and social networks on social adaptation

Social adaptation arises from the interaction between the individual and the social environment. However, little empirical evidence exists regarding the relationship between social contact and social adaptation. We propose that loneliness and social networks are key factors explaining social adaptation. Sixty-four healthy subjects with no history of psychiatric conditions participated in this study. All participants completed self-report questionnaires about loneliness, social network, and social adaptation. On a separate day, subjects underwent a resting state fMRI recording session. A hierarchical regression model on self-report data revealed that loneliness and social network were negatively and positively associated with social adaptation. Functional connectivity (FC) analysis showed that loneliness was associated with decreased FC between the fronto-amygdalar and fronto-parietal regions. In contrast, the social network was positively associated with FC between the fronto-temporo-parietal network. Finally, an integrative path model examined the combined effects of behavioral and brain predictors of social adaptation. The model revealed that social networks mediated the effects of loneliness on social adaptation. Further, loneliness-related abnormal brain FC (previously shown to be associated with difficulties in cognitive control, emotion regulation, and sociocognitive processes) emerged as the strongest predictor of poor social adaptation. Findings offer insights into the brain indicators of social adaptation and highlight the role of social networks as a buffer against the maladaptive effects of loneliness. These findings can inform interventions aimed at minimizing loneliness and promoting social adaptation and are especially relevant due to the high prevalence of loneliness around the globe. These findings also serve the study of social adaptation since they provide potential neurocognitive factors that could influence social adaptation.

Mental Well-Being of Nursing Staff and Destructive Role of COVID-19 Fear and Perceived Stress

Health crises across the globe bring dramatic changes to the lives of individuals and organizations. These crises have some psychological effects on society. The COVID-19 pandemic also caused some serious problems for individual and organizational life. Globally, the COVID-19 situation precipitated various economic and psychological issues that are far-reaching and exceptional. Health crises are increasing following the occurrence of COVID-19 due to its psychological effects on individuals worldwide. The current study highlighted the impact of COVID-19 fear on mental well-being (MWB). Most studies have examined the MWB of nursing staff and related their MWB to psychological factors. Few studies have considered the health crisis factors that are important in terms of bringing about variation in the MWB of nursing staff. Nursing staff MWB is impacted by various health crises (including COVID-19) at the global level and it has been ignored by researchers. In this study, a list of 1940 healthcare units with 6758 nursing staff was obtained. A total of 822 nurses were selected with the help of random sampling. The collected data were analyzed using correlation analysis, SPSS (statistical package for social sciences) version 23, and SEM. Thus, in this study we examined the effect of a health crisis (i.e., COVID-19) fear on the MWB of nurses. Moreover, we also examined the extent to which perceived stress (PS) influences the link between COVID-19 fear and MWB. The study's findings confirmed that COVID-19 fear shown negative effect on MWB, while PS mediated the link between COVID-19 fear and MWB.

Supporting employers and their employees with Mental hEalth problems to remain eNgaged and producTive at wORk (MENTOR): A feasibility randomised controlled trial protocol

Employees with mental health problems often struggle to remain in employment. During the COVID-19 pandemic, these employees face multiple additional stressors, which are likely to worsen their mental health and work productivity. Currently, it is unclear how to best support employees with mental health problems (and their managers) to improve wellbeing and productivity. We aim to develop a new intervention (MENTOR) that will jointly involve employees, managers, and a new professional (mental health employment liaison worker, MHELW), to help employees who are still at work with a mental health condition and currently receiving professional support for their mental health. A feasibility pilot study will then be undertaken to examine the feasibility and acceptability of the intervention from the perspective of employees and line managers. The study involves a feasibility randomised controlled study comparing outcomes of participants randomised to receive the intervention (MENTOR) with wait-list controls. Participants allocated to the waitlist control group will receive the intervention after three months. We aim to randomise 56 employee-manager pairs recruited from multiple organisations in the Midlands region of England. An intervention including 10 sessions for employees and managers (3 individual sessions and 4 joint sessions) will be delivered over 12 weeks by trained MHELWs. Primary outcomes include measures of feasibility and acceptability of the intervention and work productivity. Secondary outcomes include mental health outcomes. Qualitative interviews will be undertaken with a purposively selected sub-sample of employees and line managers at three-month post-intervention assessment. To our knowledge, this will be the first trial with a joint employee-manager intervention delivered by MHELWs. Anticipated challenges are dual-level consent (employees and managers), participants' attrition, and recruitment strategies. If the intervention and trial processes are shown to be feasible and acceptable, the outcomes from this study will inform future randomised controlled trials. Trial registration: This trial is pre-registered with the ISRCTN registry, registration number: ISRCTN79256498. Protocol version: 3.0_March_2023. https://www.isrctn.com/ISRCTN79256498.

The association between team resilience and team performance in nurses during COVID-19 pandemic: a network analysis

BACKGROUND

Compared to other healthcare workers, nurses are more vulnerable to the potentially devastating effects of pandemic-related stressors. Studies have not yet investigated the deeper characteristics of the relationship between team resilience and team performance among nurses during the COVID-19 pandemic. This study aimed to elucidate the characteristics of team resilience and performance networks among nurses during the pandemic.

METHODS

A cross-sectional study involving 118 nursing teams comprising 1627 practice nurses from four tertiary-A and secondary-A hospitals in Shandong Province, China, was conducted. Analyzing and Developing Adaptability and Performance in Teams to Enhance Resilience Scale and the Team Effectiveness Scale were used to measure team resilience and performance, respectively. The estimation of the network model and calculation of related metrics, network stability and accuracy, and network comparison tests were performed using R 4.0.2.

RESULTS

Node monitoring had the highest centralities in the team resilience and performance network model, followed by node anticipation, cooperation satisfaction, and cooperation with other departments. Moreover, node cooperation satisfaction and learning had the highest levels of bridge centrality in the entire network.

CONCLUSION

Monitoring, anticipation, cooperation satisfaction, cooperation with other departments, and learning constituted core variables maintaining the team resilience-performance network structure of nurses during the pandemic. Clinical interventions targeting core variables may be effective in maintaining or promoting both team resilience and performance in this population.

Potential of Volunteering in Formal and Informal Medical Education-A Theory-Driven Cross-Sectional Study with Example of the COVID-19 Pandemic

Students' volunteering is an effective way to manage health crises, including pandemics. Due to the limited capacity of the healthcare system at the time of the COVID-19 outbreak, the engagement of students in volunteering services seemed invaluable. Based on different teaching-learning theories, in this survey study, we aimed to evaluate the potential of the volunteering service project launched by the Poznan University of Medical Sciences during the COVID-19 pandemic as a learning opportunity for undergraduate healthcare students. The results indicate the potential of involving students in volunteering activities for educational purposes, as well as other values, including attitudes and professional identity development, which could be difficult to realize using traditional teaching methods. However, stimulating students' reflectiveness seems necessary to reach its full educational effectiveness. Medical teachers should provide students with more opportunities for volunteering and service learning and consider making these a constant element of the curriculum beyond the COVID-19 pandemic.

Supporting nursing, midwifery and allied health professional teams through restorative clinical supervision

The mental health and wellbeing of healthcare staff have been significantly affected by the demands resulting from the recent COVID-19 pandemic. Restorative supervision is a type of clinical supervision that supports reflective practice that can help build practitioners' resilience by focusing on the individual's experience, aiming to sustain their wellbeing and their motivation at work. This model has been shown to reduce stress and burnout and increase compassion satisfaction. This article discusses the implementation of a restorative clinical supervision programme used to support staff wellbeing in nursing, midwifery and allied health professional teams in a large London-based NHS trust.

Comparing workplace violence among nurses and other professionals using online articles: A social network analysis

AIM

To investigate workplace violence in online articles and compare workplace violence-related words characteristics of nurses and other professionals using social network analysis.

BACKGROUND

Workplace violence is a widespread problem across nursing practice. Online articles are useful for the timely identification and management of nurse violence problems.

METHODS

This descriptive exploratory study involved data extraction focused around the search term workplace violence from sources published during January 1990-December 2020 listed in the BIGKinds database, a Korean integrated news database system. The connections between the extracted terms were determined through social network analysis using the programs UCINET and NetDraw.

RESULTS

Our search found 675 articles for nurses and 5,797 articles for other professionals related to workplace violence. Work burden was found to be the primary cause of violence among both nurses and other professionals. Specifically, being a woman was closely related to violence among nurses, and abuse of power was closely related to violence among other professionals.

CONCLUSION

Nurses and other professionals have different vulnerabilities to violence, which require a different approach to addressing violence.

IMPLICATIONS FOR NURSING MANAGEMENT

Nurse managers should provide a healthy work environment, sufficient workforce, and flexible work schedules to protect nurses from workplace violence.

Workplace Factors, Burnout Signs, and Clinical Mental Health Symptoms among Mental Health Workers in Lombardy and Quebec during the First Wave of COVID-19

Several research contributions have depicted the impact of the pandemic environment on healthcare and social care personnel. Even though the high prevalence of burnout depression and anxiety in healthcare settings before COVID-19 has been well documented in the research, the recent increase in psychological distress and mental health issues in healthcare and mental health workers should be attributed to the effect of the COVID-19 pandemic. The aim of the present study is to develop, evaluate, and compare a model of COVID-19 workplace stressors between two different territories, the Italian region of Lombardy and the Canadian province of Quebec. Within this model, burnout is depicted as the strongest determinant of mental health symptoms for mental health workers. In turn, the main workplace determinants of burnout are the perception of a lack of support from the organization and the fear of contracting COVID-19 at work. Findings also provide insights for designing interventions to promote and protect mental health workers in the context of the pandemic. In conclusion, it is necessary to monitor burnout and carefully analyze elements of organizational culture, in addition to offering clinical and psychological care for those in need.

An Innovative Academic Practice Model for Clinical Nursing Education During the COVID-19 Pandemic

In March of 2020, Columbia University School of Nursing (CUSON) Masters Direct Entry (MDE) program and New York Presbyterian Hospital (NYPH) created an innovative academic partnership to address the clinical needs of students and to help alleviate the burden of surging COVID-19 cases on nurses and the health care system. Through this partnership, students were hired as nurse technicians to assist with patient care during the first wave of the COVID-19 pandemic. As a result of this enhanced relationship, a pipeline of well-qualified graduate nurses with unique skills to adapt to a rapidly changing practice environment was created. Student participants in this opportunity developed an understanding of the organizational and leadership structures of the health care institution. The understanding of organizational and leadership structures will help transform the delivery of care.

Beyond Burnout and Resilience: The Disillusionment Phase of COVID-19

In caring for patients during the COVID-19 pandemic, nurses are experiencing a crisis of emotional highs and lows that will have lasting implications for their professional and personal well-being. As a result, much attention has been focused on nurse burnout, but the range of nurses' experiences is more nuanced, complicated, and profound. With the recognition that the nursing workforce was already experiencing burnout before the pandemic, this article explores how individuals respond to disasters and the detrimental effects of the repeated surges of critically ill patients, which have led nurses to experience an extended period of disillusionment that includes secondary traumatic stress, cumulative grief, and moral distress. This article describes the range of psychological responses to the COVID-19 pandemic so that nurse leaders can better identify resources and interventions to support nurses.

The iHV emotional wellbeing at work Champions Programme: Building capacity to protect and enhance the emotional wellbeing of the health visiting workforce in the UK

The Institute of Health Visiting (iHV) Emotional Wellbeing at Work Programme was developed during the COVID-19 pandemic to support the health visiting services to deal with the increased demands placed on them. This paper discusses the development of the iHV Emotional Wellbeing at Work (EWW) Champions Programme, which has built on the original model to enable the creation of EWW Champions. The iHV has a good track record of building leadership and capacity for rolling out training and development on a wider scale using the iHV Champions model of training. The portfolio currently includes a range of Perinatal and Infant Mental Health Champions (Baldwin and Kelly, 2016; Baldwin et al., 2018) [1,2], Research Champions (Mugweni et al., 2019) [3], Delivering Different News Champions, Healthy Weight and Healthy Nutrition Champions, Changing Conversations: Autism Ambassadors, and Neonatal Families Ambassadors. This paper discusses how the EWW programme was further developed to create this Champions’ model to enable other experienced and skilled health visitors to become EWW facilitators. Through this model, trained health visitors can support their colleagues in the workplace, protecting and enhancing their emotional wellbeing at work and broadening access to support services and resources.

The Nurse Leader's Role in Nurse Substance Use, Mental Health, and Suicide in a Peripandemic World

Nurses are known to be at an increased risk of death by suicide, and recent studies have found links between nurse suicide, substance use, mental health issues, and job problems. Because of stigma, inaccessibility of resources, and regulatory and legal issues, nurses are unlikely to seek help unless a crisis forces them into treatment. The purpose of this article is to review the current understanding of nurse suicide, the psychological impact of the novel coronavirus (COVID-19) pandemic, the strategic planning approach to identify the needs of nurses, and promising interventions and practices. Evidence-based strategies to intervene at the personal, institutional, and regulatory levels should be employed to reduce nurse suicide by focusing not only on suicide but also on treatment of substance and mental health issues, as well as a renewed focus on disciplinary procedures that may place nurses in immediate danger of death by suicide. Nurse leaders have a moral obligation to provide proactive, meaningful interventions to reduce the risk of death by suicide among nurses.

Identifying Psychosocial Risks and Protective Measures for Workers’ Mental Wellbeing at the Time of COVID-19: A Narrative Review

The spread of the SARS-CoV-2 virus has caused crucial changes in the workplace. Almost two years after the start of the COVID-19 era, new and old psychosocial risks in the workplace threaten workers’ mental wellbeing and represent an occupational health challenge. The aim of this review is to identify the most relevant psychosocial factors, negative or protective, contributing to occupational stress during the current pandemic. A literature search was conducted in PubMed, EMBASE, Cochrane Library, Web of Science, Google Scholar and PsycINFO and a total of 51 articles were deemed suitable for inclusion in the review. Analysis of the retrieved articles revealed five main topics related to psychosocial wellbeing in the workplace: 1. Support from colleagues and organizations; 2. Home–work interface and balance; 3. Changes in workload and work demand; 4. Job competence and appropriate training; 5. Job insecurity and financial stress. All five themes were associated with occupational stress and poor mental outcomes, like anxiety, depression, and burnout symptoms. Peer and organizational support seem to have a major impact on workers’ mental wellbeing. Recognizing these factors and projecting interventions that mitigate their effects or boost their efficacy is a fundamental step towards dealing with COVID-19 in the workplace, or any such future emergencies.

Mental health, safety and support during COVID-19: A cross-sectional study of primary health care nurses

AIM

The aim of this study is to explore primary health care nurses' mental health, concerns and perceived safety and supports during COVID-19.

BACKGROUND

Respiratory pandemics have negative impacts on nurses' wellbeing. While literature is replete with hospital nurses' experiences, there is less exploration of COVID-19 impacts on primary health care nurses. Given the importance of primary health care nurses in the health system, understanding their experiences is vital.

METHODS

Three hundred and fifty nine primary health care nurses responded to an online cross-sectional survey. The Depression Anxiety Stress Scales (DASS-21) was used to measure emotional state. Data were analysed using descriptive and inferential statistics.

RESULTS

DASS-21 scores indicated that 39.6% of participants were experiencing symptoms of depression, anxiety or stress. Of those, 41.8% were experiencing symptoms on one scale, 26.9% were experiencing symptoms on two scales and 31.2% were experiencing symptoms across all three scales. Most participants identified that their feelings were related to COVID-19.

CONCLUSIONS

COVID-19 is having a significant impact on primary health care nurses' mental health. Nurse managers need to develop strategies to effectively address nurses' concerns and effectively support them to sustain the workforce during and after the pandemic.

IMPLICATIONS FOR NURSING MANAGEMENT

Findings from this study can inform the design of effective nurse support programmes to reduce mental health impacts and promote staff wellbeing during the pandemic.

The item network and domain network of burnout in Chinese nurses

Background

As a common social phenomenon, nurses’ occupational burnout has a high incidence rate, which seriously affects their mental health and nursing level. The current assessment mostly uses the total score model and explores the influence of external factors on burnout, while the correlation between burnout items or dimensions is less explored. Ignoring the correlation between the items or dimensions may result in a limited understanding of nurse occupational burnout. This paper explores the item and dimension network structure of the Maslach Burnout Inventory-General Survey (MBI-GS) in Chinese nurses, so as to gain a deeper understanding of this psychological construct and identify potential targets for clinical intervention.

Methods

A total of 493 Chinese nurses were recruited by cluster sampling. All participants were invited to complete the survey on symptoms of burnout. Network analysis was used to investigate the item network of MBI-GS. In addition, community detection was used to explore the communities of MBI-GS, and then network analysis was used to investigate the dimension network of MBI-GS based on the results of community detection. Regularized partial correlation and non-regularized partial correlation were used to describe the association between different nodes of the item network and dimension network, respectively. Expected influence and predictability were used to describe the relative importance and the controllability of nodes in both the item and dimension networks.

Results

In the item network, most of the strongly correlated edges were in the same dimension of emotional exhaustion (E), cynicism (C) and reduced professional efficacy (R), respectively. E5 (Item 5 of emotional exhaustion, the same below) “I feel burned out from my work”, C1 “I have become more callous toward work since I took this job”, and R3 “In my opinion, I am good at my job” had the highest expected influence (z-scores = 0.99, 0.81 and 0.94, respectively), indicating theirs highest importance in the network. E1 “I feel emotionally drained from my work” and E5 had the highest predictability (E1 = 0.74, E5 = 0.74). It shows that these two nodes can be interpreted by their internal neighbors to the greatest extent and have the highest controllability in the network. The spinglass algorithm and walktrap algorithm obtained exactly the same three communities, which are consistent with the original dimensions of MBI-GS. In the dimension network, the emotional exhaustion dimension was closely related to the cynicism dimension (weight = 0.65).

Conclusions

The network model is a useful tool to study burnout in Chinese nurses. This study explores the item and domain network structure of nurse burnout from the network perspective. By calculating the relevant indicators, we found that E5, C1, and R3 were the most central nodes in the item network and cynicism was the central node in the domain network, suggesting that interventions aimed at E5, C1, R3 and cynicism might decrease the overall burnout level of Chinese nurses to the greatest extent. This study provides potential targets and a new way of thinking for the intervention of nurse burnout, which can be explored and verified in clinical practice.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12912-021-00670-8.

Nursing professionals' mental well-being and workplace impairment during the COVID-19 crisis: A Network analysis

Aim

To investigate the effects of years of nursing experience and mental health on work impairment among nurses during the COVID‐19 crisis.

Background

During the COVID‐19 crisis, nurses experience a greater psychological burden than other health care workers. Studies have not yet investigated the effects of years in nursing and mental health on potential work impairment during the COVID‐19 crisis in nurses.

Methods

A survey was administered to 83 nurses on active duty during the COVID‐19 crisis. The graphical LASSO and the DAG helped estimate the associations between years of nursing experience, mental health and work impairment.

Results

A moderate negative correlation emerged between years of nursing experience, avoidance and work impairment. A direct effect was observed between anxiety and work impairment. A moderate positive correlation emerged between anxiety, depression and work impairment. An indirect effect was observed between depression, burnout, insomnia, years of nursing experience and work impairment.

Conclusions

In the present sample, nurses' work impairment decreased with greater years of nursing experience and increased with higher anxiety, depression, burnout and avoidance levels.

Implications for Nursing Management

These findings can help design effective infectious disease management programmes for students and professionals in nursing to prevent breakdowns and avoid work impairment.