Association between burnout, anxiety and insomnia in healthcare workers: a cross-sectional study

Development and validation of a nomogram for predicting high-burnout risk in nurses

AIM

To develop a predictive model for high-burnout of nurses.

DESIGN

A cross-sectional study.

METHODS

This study was conducted using an online survey. Data were collected by the Chinese Maslach Burnout Inventory-General Survey (CMBI-GS) and self-administered questionnaires that included demographic, behavioural, health-related, and occupational variables. Participants were randomly divided into a development set and a validation set. In the development set, multivariate logistic regression analysis was conducted to identify factors associated with high-burnout risk, and a nomogram was constructed based on significant contributing factors. The discrimination, calibration, and clinical practicability of the nomogram were evaluated in both the development and validation sets using receiver operating characteristic (ROC) curve analysis, Hosmer-Lemeshow test, and decision curve analysis, respectively. Data analysis was performed using Stata 16.0 software.

RESULTS

A total of 2750 nurses from 23 provinces of mainland China responded, with 1925 participants (70%) in a development set and 825 participants (30%) in a validation set. Workplace violence, shift work, working time per week, depression, stress, self-reported health, and drinking were significant contributors to high-burnout risk and a nomogram was developed using these factors. The ROC curve analysis demonstrated that the area under the curve of the model was 0.808 in the development set and 0.790 in the validation set. The nomogram demonstrated a high net benefit in the clinical decision curve in both sets.

CONCLUSION

This study has developed and validated a predictive nomogram for identifying high-burnout in nurses.

RELEVANCE TO CLINICAL PRACTICE

The nomogram conducted by our study will assist nursing managers in identifying at-high-risk nurses and understanding related factors, helping them implement interventions early and purposefully.

REPORTING METHOD

The study adhered to the relevant EQUATOR reporting guidelines: TRIPOD Checklist for Prediction Model Development and Validation.

PATIENT OR PUBLIC CONTRIBUTION

No patient or public contribution.

Predictive and Associated Factors of Burnout in Nursing Faculty: An Integrative Review

BACKGROUND

Nurse educators are at high risk of experiencing burnout, resulting in high numbers of vacant faculty positions.

PURPOSE

The aims of this integrative review were to review the prevalence of measurable dimensions of professional burnout and discuss the predictive and associated factors of burnout and intent to leave nursing academia.

APPROACH

This review used the Whittemore and Knafl integrative review methodology to perform a structured search of 4 electronic databases (CINAHL, ERIC, EMBASE, and PubMed).

OUTCOMES

Nine empirical research studies measured 5 identifiable features of burnout in nursing educators: emotional exhaustion, depersonalization, lack of accomplishment, compassion satisfaction, and secondary traumatic stress. Five predictors of intent to leave nursing academia were identified: demographics, health status, salary, workload, and work-life imbalance.

CONCLUSIONS

The highest contributing factor to burnout and intent to leave nursing academia is high workload levels and lack of work-life balance. Nursing faculty report moderate to high levels of all dimensions of professional burnout.

Gender-related stress factors and emotional perception in migraine: a structured online questionnaire in migraine patients and controls

BACKGROUND

While migraine is markedly prevalent in women, gender-related phenotype differences were rarely assessed. For this reason, we investigated, through a multicenter observational cross-sectional study, based on an online questionnaire, gender-related differences in stress factors, emotions, and pain perception in migraine patients and controls and their impact on migraine severity.

METHODS

The study was designed as an online questionnaire. The link was emailed to healthy subjects (C) and migraine patients (MIG) (age 18-75, education ≥ 13 years) recruited during the first visit in 8 Italian Headache Centers adhering to Italian Society for Headache Study (SISC). The questionnaire included personal/social/work information, the Perceived Stress Scale, the Romance Quality Scale, the Emotion Regulation Questionnaire, the Beck Anxiety Inventory, the Body Perception Questionnaire, the pain perception, and a self-assessment of migraine severity in the last 3 months.

RESULTS

202 MIG and 202 C completed the survey. Independently from gender, migraine was characterized by higher pain sensitivity and more severe partner relationships. The female gender, in MIG, exhibited higher anxiety scores, body awareness, and reduced emotional suppression. Body awareness and emotional suppression were discriminating factors between genders in control and migraine groups without relevant influence on disease features. Perceived perception of migraine severity was similar between genders.

CONCLUSION

Gender-related emotional and stress factors did not contribute to delineate a distinct phenotype in migraine men and women. The possible impact of emotional and stress factors characterizing genders could be considered for a single case-tailored therapeutic approach.

The relative contribution of COVID-19 infection versus COVID-19 related occupational stressors to insomnia in healthcare workers

Objective/Background: Healthcare workers have experienced high rates of psychiatric symptom burden and occupational attrition during the COVID-19 pandemic. Identifying contributory factors can inform prevention and mitigation measures. Here, we explore the potential contributions of occupational stressors vs COVID-19 infection to insomnia symptoms in US healthcare workers.Patients/Methods: An online self-report survey was collected between September 2020 and July 2022 from N = 594 US healthcare workers, with longitudinal follow-up up to 9 months. Assessments included the Insomnia Severity Index (ISI), the PTSD Checklist for DSM-5 (PCL-5), and a 13-item scale assessing COVID-19 related occupational stressors.

Results

Insomnia was common (45% of participants reported at least moderate and 9.2% reported severe symptoms at one or more timepoint) and significantly associated with difficulty completing work-related tasks, increased likelihood of occupational attrition, and thoughts of suicide or self-harm (all p<.0001). In multivariable regression with age, gender, and family COVID-19 history as covariates, past two-week COVID-related occupational stressors, peak COVID-related occupational stressors, and personal history of COVID-19 infection were all significantly related to past two-week ISI scores (β = 1.7 ± 0.14SE, β = 0.08 ± 0.03, and β = 0.69 ± 0.22 respectively). Although similar results were found for the PCL-5, when ISI and PCL-5 items were separated by factor, COVID-19 infection was significantly related only to the factor consisting of sleep-related items.

Conclusions

Both recent occupational stress and personal history of COVID-19 infection were significantly associated with insomnia in healthcare workers. These results suggest that both addressing occupational stressors and reducing rate of COVID-19 infection are important to protect healthcare workers and the healthcare workforce.

Burnout risks in Bangladeshi Physicians: A multicenter, cross-sectional study

Physician burnout is a global concern that can lead to exhaustion, ineffectiveness, and poor health outcomes. Burnout has been linked to a variety of societal and professional variables worldwide. This cross-sectional, multi-centered study was conducted by face-to-face interviews between April 2019 and December 2021 at sixty-two (62) tertiary level hospitals to identify potential risk factors for burnout among Bangladeshi physicians, which is essential for preventing adverse impact on their well-being, improving overall quality of life, and facilitating measures to manage stress and maintain a healthy work-life balance. A simple random sampling technique in conjunction with a structured questionnaire was used to collect a total of 1434 responses, assuming 20 % of the sample as non-responsive. Univariate, bivariate, and multinomial logistic regression statistical analyses were performed to determine the risk factors and associate the level of severity. The distribution of burnout status differs significantly at distinct covariate levels, such as working place, working hour, prevalence of potential interpersonal conflicts (subsequent increase of adjusted odds ratios i.e.; 6.52, 8.82, 11.41, and 37.07 is observed for physicians having interpersonal conflicts with both co-workers & family members), job dissatisfaction, annoyed feeling while dealing with patients (adjusted odds ratios are 529.68, 518.26,983.87 and 849.57 respectively) and some other significant factors of the physicians. This study also reveals that the female physicians, physicians with age 40-49, physicians with additional liabilities, physicians with job dissatisfaction, less salary compared to the workload, less flexibility and security at the job sector as well as obese physicians are at high risk of burnout. These results are statistically significant with a p value ≤ 0.05. To reduce burnout of Bangladeshi physicians, it is necessary to address the risk factors, create supportive workplaces, maintain a healthy work-life balance, provide opportunities for self-care, and promote mental health.

Adverse Childhood Experiences and Burnout in Athletic Trainers: An Exploratory Study

CONTEXT

Burnout, a state of physical or emotional exhaustion, is a concern within athletic training, as between 17% and 40% of athletic trainers (ATs) report high levels of burnout. Adverse childhood experiences (ACEs) are linked with higher levels of burnout in other health professions.

OBJECTIVE

To compare burnout with ACEs in ATs.

DESIGN

Cross-sectional study.

SETTING

Web-based survey.

PATIENTS OR OTHER PARTICIPANTS

One thousand ATs were selected at random to participate in the study. Of these, 78 ATs started the survey, and 75 ATs completed it.

MAIN OUTCOME MEASURE(S)

Burnout, as measured by the Copenhagen Burnout Inventory (CBI) overall and subscale scores, was compared across groups based on the number of adverse experiences as measured by the ACEs survey. Multiple analysis of variance tests were used to determine the association between ACEs score and overall, personal, work-related, and patient-related burnout.

RESULTS

At least 1 adverse experience was reported by 37 (49.33%) participants. Those with ≥4 ACEs had higher odds of describing overall, personal, and work-related burnout than those with 0 to 3 ACEs. Moderate burnout (CBI score ≥ 50.00) was noted in 27 (36.00%, overall), 44 (58.67%, personal), 34 (45.3%, work related), and 15 (20.00%, patient related) ATs. Participants with 4 ACEs had higher overall burnout (67.11 ± 19.89; F6,68 = 2.59, P = .03) than those with 0 (40.53 ± 17.12, P = .04), 1 (38.42 ± 20.99, P = .04), or 7 (19.08 ± 12.09, P = .03) ACEs. The same pattern existed with personal burnout, as participants with 4 ACEs (76.67 ± 17.33) had higher scores (F6,68 = 3.40, P = .00) than those with 0 (46.60 ± 17.49, P = .02), 1 (42.78 ± 21.48, P = .01), or 7 (27.08 ± 20.62, P = .03) ACEs. No other differences were observed.

CONCLUSIONS

Between 20.00% and 58.67% of ATs surveyed reported some form of burnout. Higher levels of overall and personal burnout were found in those with 4 ACEs. Although we expected to see lower levels of burnout in those with fewer ACEs, it was surprising that those with 7 ACEs had some of the lowest CBI scores. Athletic trainers with childhood trauma may find it beneficial to engage in self-regulation exercises to reduce or limit triggers and burnout. Additionally, employers should explore developing trauma-informed workplaces to better support employees.

Psychology, stress, insomnia, and resilience of medical staff in China during the COVID-19 policy opening: a cross-sectional survey

Background

Since 8 January 2023 China has liberalized its control of COVID-19. In a short period of time, the infection rate of COVID-19 in China has risen rapidly, which has brought a heavy burden to medical staff. This study aimed to investigate the psychological status, stress, insomnia, effort-reward imbalance, resilience, and influencing factors of medical staff in China during the period of epidemic policy liberalization.

Methods

This survey was conducted from 6 February to 27 March 2023 with non-random sampling. An online questionnaire survey was conducted using HADS, PSS-14, ISI, ERI, and the resilience assessment scale for medical staff. The levels of psychological, stress, insomnia, effort-reward imbalance, and resilience of medical staff during the pandemic policy opening period were measured.

Results

A total of 2,038 valid questionnaires were collected. 68.5% and 53.9% of medical staff had different degrees of anxiety and depression, respectively. Excessive stress, insomnia, and high effort and low reward were 40.2%, 43.2%, and 14.2%, respectively. Gender, Profession, education level, and age are important factors that lead to anxiety and depression. Women, nurses, higher education, longer working years and hours, high effort, and low reward are risk factors for the above conditions. There was a certain correlation among the five scales, among which anxiety, depression, stress, insomnia, effort-reward imbalance, and other factors were positively correlated, while resilience was negatively correlated with these factors.

Conclusion

This study found that anxiety, depression, stress, insomnia, and other psychological problems of medical staff in China during the policy opening period of COVID-19 were more serious than before. At the individual and organizational levels, it is necessary to improve the well-being of medical staff, optimize the allocation of human resources, and promote the mental health of medical staff with a focus on prevention and mitigation, with the entry point of improving resilience and preventing the effort-reward imbalance.

Burnout and associative emotional status and coping style of healthcare workers in COVID-19 epidemic control: A cross-sectional study

Objective

The aim of this study was to evaluate the prevalence of burnout, clinical anxiety, depression, and insomnia and to estimate the associations of adverse emotional status, coping style, and level of self-efficacy with burnout of healthcare workers in the Shenzhen Longgang District Frontline District Headquarters of COVID-19 epidemic control, China.

Methods

In this cross-sectional study, 173 staff completed the anonymous questionnaires of the Maslach Burnout Inventory, Patient Health Questionnaire-9 (PHQ-9), Generalized Anxiety Disorder 7-item Scale (GAD-7), Insomnia Severity Index (ISI), General Self-efficacy Scale, and Simplified Coping Style Questionnaire electronically (https://www.wjx.cn/) in June 2022. Hierarchical logistic regression was used to explore the associated factors of burnout in this study.

Results

The prevalence of burnout in our participants (defined as high emotional exhaustion or high depersonalization) was 47.40%, and reduced personal accomplishment was 92.49%. The prevalence of clinically significant depression (the cutoff score of ≥15), anxiety (the cutoff score of ≥10), and insomnia (the cutoff score of ≥15) was 11.56, 19.08, and 19.08%, respectively. There was a degree of overlap between burnout and other measures of adverse mental status, most notably for anxiety (odds ratio, 27.049; 95% CI, 6.125–117.732; p &lt; 0.001). Hierarchical logistic regression demonstrated that burnout was strongly associated with anxiety (OR = 23.889; 95% CI, 5.216–109.414; p &lt; 0.001) and negative coping style (OR = 1.869; 95% CI, 1.278–2.921; p &lt; 0.01) independently.

Conclusion

Medical staff involved in COVID-19 epidemic control in the post-epidemic era were at high risk of burnout, and most of them were in low personal accomplishment. Reducing anxiety and improving coping style by medical management institutions from the system level may be effective in alleviating burnout in healthcare workers.

Influencing factors of work stress of medical workers in clinical laboratory during COVID-19 pandemic: Working hours, compensatory leave, job satisfaction

Background

The COVID-19 pandemic continues to pose unprecedented threats and challenges to global public health. Hospital Clinical Laboratory and public health institutions have been playing an important role in case detection, epidemic research and decision-making, and epidemic prevention and control.

Objective

To explore the current situation and influencing factors of work stress of medical workers in hospital clinical laboratory in fighting against COVID-19.

Methods

A cluster random sampling method was used to select seven hospitals from 14 tertiary hospitals in Xiamen, and medical workers in the selected hospitals were investigated by self-administered questionnaire. A total of 150 medical workers inclinical laboratory participated in this survey, 138 valid questionnaires were collected, with a response rate of 92%.

Results

The work stress scores of the medical workers in the clinical laboratory of hospital in the COVID-19 epidemic were collected (55.22 ± 11.48); The top three dimensions of work stress score were work stress (work load), external environment and doctor-patient relationship. The results of multiple stepwise regression analysis showed that the working hours per day, whether overtime and night shift can get compensatory leave and Job satisfaction with the work of the clinical laboratory were the main factors affecting the work stress level of medical workers in the clinical laboratory of hospital during COVID-19 epidemic.

Conclusion

The COVID-19 has caused great harm to the physical and mental health of the public. Medical staff are in the front line of prevention and control of the epidemic, so medical workers in hospital clinical laboratory exposed to a high level of stress at work. Laboratory leaders and hospital managers should take active and effective measures to reduce the working hours of the medical staff in clinical laboratory, optimize the arrangement of night shift and overtime working, strengthen the training of group and individual pressure management, reduce the work stress of the medical staff, improve the overall happiness of the medical staff in clinical laboratory, and stabilize the clinical laboratory team, improve the physical and mental health of medical workers in clinical laboratory.

Trajectories of Job Burnout among Bus Drivers in China: A Three-Year Follow-Up Study

This study aimed to characterize job burnout in longitudinal trajectories among bus drivers and examine the impact of variables related to job burnout for trajectories. A longitudinal study was conducted in 12,793 bus drivers in Guangdong province, China, at 3-year follow-up assessments. Growth mixture modeling (GMM) was used to estimate latent classes of burnout trajectories and multinomial logistic regression models were applied to predict membership in the trajectory classes. In general, there was a decrease in job burnout in 3 years [slope = -0.29, 95%CI = (-0.32, -0.27)]. Among those sub-dimensions, reduced personal accomplishment accounted for the largest proportion. GMM analysis identified five trajectory groups: (1) moderate-decreased (n = 2870, 23%), (2) low-stable (n = 5062, 39%), (3) rapid-decreased (n = 141, 1%), (4) moderate-increased (n = 1504, 12%), and (5) high-stable (n = 3216, 25%). Multinomial logistic regression estimates showed that depression symptoms, anxiety symptoms, and insomnia were significant negative predictors, while daily physical exercise was a significantly positive predictor. We found an overall downward trend in bus drivers' burnout, particularly in the sub-dimension of personal accomplishment. Mentally healthier drivers and those who were usually exercising were more resilient to occupational stress and less likely to suffer burnout.

The relative contribution of COVID-19 infection versus COVID-19 related occupational stressors to insomnia in healthcare workers

Objective/Background

Healthcare workers have experienced high rates of psychiatric symptom burden and occupational attrition during the COVID-19 pandemic. Identifying contributory factors can inform prevention and mitigation measures. Here, we explore the potential contributions of occupational stressors vs COVID-19 infection to insomnia symptoms in US healthcare workers.

Patients/Methods

An online self-report survey was collected between September 2020 and July 2022 from N=594 US healthcare workers, with longitudinal follow-up up to 9 months. Assessments included the Insomnia Severity Index (ISI), the PTSD Checklist for DSM-5 (PCL-5), and a 13-item scale assessing COVID-19 related occupational stressors.

Results

Insomnia was common (45% of participants reported at least moderate and 9.2% reported severe symptoms at one or more timepoint) and significantly associated with difficulty completing work-related tasks, increased likelihood of occupational attrition, and thoughts of suicide or self-harm (all p<.0001). In multivariable regression with age, gender, and family COVID-19 history as covariates, past two-week COVID-related occupational stressors, peak COVID-related occupational stressors, and personal history of COVID-19 infection were all significantly related to past two-week ISI scores (β=1.7±0.14SE, β=0.08±0.03, and β=0.69±0.22 respectively). Although similar results were found for the PCL-5, when ISI and PCL-5 items were separated by factor, COVID-19 infection was significantly related only to the factor consisting of sleep-related items.

Conclusions

Both recent occupational stress and personal history of COVID-19 infection were significantly associated with insomnia in healthcare workers. These results suggest that both addressing occupational stressors and reducing rates of COVID-19 infection are important to protect healthcare workers and the healthcare workforce.

Association between sleep disturbance and mental health of healthcare workers: A systematic review and meta-analysis

OBJECTIVES

Sleep disturbance and mental health are challenges for healthcare workers (HCWs). Especially during the COVID-19 pandemic, they experienced more severe sleep and mental health problems. However, the association between sleep disturbance and the mental health of HCWs is still controversial. This study aimed to systematically review the relationship by conducting a systematic review and meta-analysis.

METHOD

Two researchers retrieved the literature from Web of Science, PubMed, EMBASE, CINAHL, Psyclnfo, and Cochrane Library from the establishment of the databases until November 20, 2021. We used the New Castle-Ottawa Scale (NOS) and Agency for Healthcare Research and Quality (AHRQ) to evaluate the risk of bias in prospective research and cross-sectional research, respectively. The major exposure was HCWs' sleep disturbance, and the major outcome was mental health. The correlation coefficients (r), regression coefficients (β) and odds ratios (OR) of the included studies were integrated.

RESULT

Fifty-nine studies were included for qualitative analysis, of which 30 studies could be combined and entered into quantitative analysis. There were 23 studies during the COVID-19 pandemic among the 59 included studies. The results of the meta-analysis showed that the correlation coefficient between sleep disturbance and mental health was 0.43 (95% CI: 0.39-0.47). HCWs with sleep disturbance had a 3.74 (95% CI: 2.76-5.07) times higher risk of mental health problems than those without sleep disturbance. The correlation coefficient during the COVID-19 epidemic was 0.45 (95% CI: 0.37-0.53), while it was 0.40 (95% CI: 0.36-0.44) during the non-epidemic period. Subgroup analysis compared the OR results in epidemic and non-epidemic periods of COVID-19, which were 4.48 (95% CI: 2.75-5.07) and 3.74 (95% CI: 2.74-7.32), respectively.

CONCLUSION

Sleep disturbance and mental health problems were positively correlated among HCWs. Particularly in the COVID-19 pandemic, more attention should be given to this issue.

Psychometric Properties of the Italian Version of the Burnout Assessment Tool (BAT)

The most popular instrument to measure burnout is the Maslach Burnout Inventory (MBI). Recently, to overcome some of the limitations of the MBI, a new instrument has been proposed, namely the Burnout Assessment Tool. The purpose of this study is to examine the psychometric properties of the Italian version of the BAT. This tool is comprised of a set of four core dimensions (BAT-C; i.e., exhaustion, mental distance, cognitive and emotional impairment) and two secondary symptom dimensions (BAT-S; i.e., psychological and psychosomatic complaints). Data were collected on a sample of 738 participants from heterogeneous sectors and professional roles. In the sample women were slightly overrepresented (52.9%), the participants had a mean age of 41.57 years (SD = 10.51) and a mean organizational tenure of 9.65 years (SD = 8.50). The reliability and factorial structure of the BAT-C and BAT-S, together with the convergent and discriminant validity of BAT-C and MBI were explored, as well as the incremental validity to the BAT-C, over and beyond the MBI. Our results confirmed the factorial validity of a two-factor second-order factor model (BAT-C and BAT-S) represented by 4 first-order factors in the case of BAT-C and 2 first-order factors for BAT-S. Results also attested that BAT-C explains additional variance of the BAT-S, above and beyond what is explained by the MBI-GS. All in all, this study provided evidence that the Italian version of BAT represents a reliable and valid tool for measuring burnout in the work context.