The Prevalence of Burnout and its Associations with Demographic Correlates and Quality of Life among Psychiatric Nurses in China

Job satisfaction and burnout syndrome among intensive-care unit nurses: A systematic review and meta-analysis

INTRODUCTION

The severe conditions often experienced in an intensive care unit, combined with poor working conditions, increase stress and therefore decrease job satisfaction. Sustained stress in the workplace leads to the development of burnout, a syndrome characterised by three dimensions: emotional exhaustion, depersonalisation and perceived lack of personal fulfilment.

OBJECTIVE

To analyse the relationship between burnout syndrome and job satisfaction among ICU personnel.

DATA SOURCES

The PubMed, CINAHL and Scopus databases were used.

STUDY DESIGN

A systematic review and meta-analysis. The study sample consisted of 18 quantitative primary studies conducted in the last five years. Validated questionnaires were used to assess burnout in ICU healthcare workers, the most commonly used being the Maslach Burnout Inventory.

EXTRACTION METHODS

The search equation applied was: "job satisfaction AND nurs* AND burnout AND (ICU OR intensive care units)". The search was performed in October 2022.

PRINCIPAL FINDINGS

The search returned 514 results. Only 73 articles met the eligibility criteria. After reading the title and abstract, 20 articles were selected. After reading the full texts, 12 articles remained and after the reverse search, 18 articles were finally selected. The studies reported a 50% prevalence of burnout, all three dimensions of which were heightened by the COVID-19 pandemic. Analysis of the study findings revealed an inverse association between burnout and job satisfaction.

CONCLUSIONS

Job dissatisfaction of ICU nurses depends on lack of experience, working conditions or working environment among others. ICU nurses with lower job satisfaction have higher levels of burnout.

IMPLICATIONS FOR CLINICAL PRACTICE

This meta-analysis shows the potential value of job satisfaction on improving health outcomes related to burnout syndrome for nursing professional in Intensive Care Units. Different factors that could increase job satisfaction and consequently protect them from suffering high levels of burnout, such as salary, permanence in the service, mental health care are the responsibility of the hospital supervisor and, finally, of the own Health System. Knowledge of a risk profile based on the factors influencing job dissatisfaction would enable the implementation of effective workplace interventions to reduce or prevent the risk of burnout. Health policies should focus on protecting the worker, so in addition to improving working conditions, it would be interesting to promote coping skills in order to improve the quality of care and patient safety.

Does the level of burnout differ between occupational groups in Lithuania?

Background

The strain on workers of the healthcare system and education sector increased psychological distress and burnout. This study aimed to distinguish the occupational group that is the most affected by occupational burnout and to reveal the scope of psychosocial risk factors among each occupational group.

Methods

This is a cross-sectional study that analyzed burnout syndrome among 1,046 participants of different occupational groups in association with psychosocial work environment factors in Lithuania. The anonymous questionnaire was composed of the standardized Job Content Questionnaire (JCQ), and the Copenhagen Burnout Inventory (CBI). To find out associations between psychosocial work environment factors and burnout dimensions, a multiple logistic regression model using the stepwise method was applied.

Results

The burnout levels in all three dimensions (personal, work-related, and client-related burnout) were significantly higher in physicians' and nurses' groups compared with public health professionals, teachers, and managers (p < 0.05). The job demands were associated with the personal burnout subscale for all occupations, except public health specialists - each one-unit increase of this variable significantly increased the probability of personal burnout from 10 to 16%, respectively by the occupation. Co-worker support was found to have a buffering effect for all occupational groups, except managers - and significantly reduced personal burnout for physicians (OR = 0.80), nurses (OR = 0.75), public health specialists (OR = 0.75), and teachers (OR = 0.79).

Conclusion

The burnout levels in all three dimensions differed between occupational groups: there were significantly higher in physicians' and nurses' groups compared with public health professionals, teachers, and managers. Considering the occupational preventive measures in the healthcare sector attention should be paid to the reduction of workload and ensuring good relations between co-workers.

Mental health status and quality of life in close contacts of COVID-19 patients in the post-COVID-19 era: a comparative study

Close contacts of those with COVID-19 (CC) may experience distress and long-lasting mental health effects. However, the mental health status and quality of life (QOL) in CC have not been adequately examined. This study examined the mental health status and QOL in CC during the post-COVID-19 period. This cross-sectional study comprised 1169 CC and 1290 who were non-close contacts (non-CC). Demographic data were collected; depression, fatigue, post-traumatic stress symptoms (PTSS) and QOL were assessed using the Patient Health Questionnaire - 9 items (PHQ-9), fatigue numeric rating scale, Post-Traumatic Stress Disorder Checklist - 17 items (PCL-17), and the World Health Organization Quality of Life Questionnaire - brief version (WHOQOL-BREF), respectively. Analysis of covariance was used to compare depressive symptoms, QOL, fatigue, and PTSS between the CC and non-CC groups. Multiple logistic regression analyses were performed to determine the independent correlates for depression, fatigue, PTSS, and QOL in the CC group. Compared to the non-CC group, the CC group reported significantly more severe depression (F(1, 2458) = 5.58, p = 0.018) and fatigue (F(1, 2458) = 9.22, p = 0.002) in the post-COVID-19 period. No significant differences in PTSS and QOL between the CC and non-CC groups were found (F(1, 2458) = 2.93, p = 0.087 for PTSS; F(1, 2458) = 3.45, p = 0.064 for QOL). In the CC group, younger age, financial loss due to COVID-19, and perception of poor or fair health status were significantly associated with depression and fatigue, while frequent use of mass media was significantly associated with fatigue. In conclusion, close contacts of COVID-19 patients experienced high levels of depression and fatigue in the post-COVID-19 period. Due to the negative effects of depression and fatigue on daily functioning, early detection and timely interventions should be provided to this neglected population.

Health-related quality of life in Chinese workers: a systematic review and meta-analysis

BACKGROUND

Studies of health-related quality of life among workers have generated varying results. The purpose of this study was to conduct a systematic review to synthesize the scores of health-related quality of life measured by the World Health Organization Quality of Life questionnaire among Chinese workers and compare the results across gender, age, occupation and region.

METHODS

Six databases including China National Knowledge Infrastructure, WanFang Data, China Science and Technology Journal Database, PubMed, Web of science and Scopus were searched for relevant publications in both English and Chinese from their inception to February 2021. Inclusion and exclusion criteria were established, and study and participant characters as well as health-related quality of life scores were extracted from included publications. Study quality was assessed by using the Crombie tool. The meta-analysis including individual publications used random-effects models. Subgroups analyses by gender, age, occupation and region were also conducted to explore the source of heterogeneity.

RESULTS

One hundred thirty-nine out of 1437 potential publications were included. The pooled mean scores of health-related quality of life were 14.1 for the physical domain (95%CI: 13.9-14.3), 13.7 for the psychological domain (95%CI: 13.5-13.8), 14.0 for the social relationship domain (95%CI: 13.8-14.2), 12.3 for the environment domain (95%CI: 12.1-12.5). No significant statistical difference was found between the different subgroups. Publication bias was present in the independence domain and the pooled scores were corrected to 15.0 (95%CI: 14.6-15.5) using the trim and fill method. Sensitivity analysis suggested that the results of the meta-analysis were stable. Region might be a source of heterogeneity. Workers in northeast China reported higher scores in the social relationship domain, and those in the central region reported lower scores in the environmental domain.

CONCLUSIONS

Chinese workers reported lower scores in four health-related quality of life domains than the general population. Region might be a potential influencing factor for workers' scores different, which needs further study. The pooled scores can served as benchmarks for workplace health promotion programes in Chinese workers and global occupational health studies.

Nurses' burnout and quality of life: A systematic review and critical analysis of measures used

Background

Nurses’ burnout might affect their quality of life, productivity and nursing care services.

Aim

The aim of this systematic review was to systemically review the relationship between nurses’ burnout and quality of life and to introduce practical recommendations to reduce nurses’ BO and improve their QOL.

Methods

In April 2021, MeSH terms (("Nurses"[Mesh]) AND "Burnout, Professional"[Mesh]) AND "Quality of Life"[Majr] were used to search five electronic databases: CINAHL, PubMed, Medline, Psychology and Behavioral Sciences Collection and Google Scholar.

Results

The search produced 21 studies exploring nurses’ burnout and their quality of life within the last ten years (2009–2021). Most of these studies found significant relationships between the burnout dimension(s) and quality of life dimension(s) among the nurses.

Conclusion

Nurses have moderate to high levels of burnout and were negatively associated with poor quality of life. Interventional programs are needed to decrease nurses’ burnout and improve their quality of life.