The item network and domain network of burnout in Chinese nurses

Abstract 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.

Download Full-text

Correlation between Job Burnout and Fear of COVID-19 among ICU and CCU Nurses

10.21203/rs.3.rs-1040376/v2 ◽

2021 ◽

Author(s):

F. Golabi ◽

M. B. Alizadeh Aghdam ◽

H. Akbarian ◽

M. M. Hosseini Mazraehshadi

Keyword(s):

Nursing Care ◽

Emotional Exhaustion ◽

Maslach Burnout Inventory ◽

Job Burnout ◽

Personal Accomplishment ◽

Occupational Burnout ◽

Major Factors ◽

The Relationship ◽

Quality Of Nursing

Abstract Background: Occupational burnout among nurses is one of the major factors which affect the quality of nursing care. Assessing the relationship between burnout and its associated factors is one of the most basic things that should be done so that later, actions can be taken to reduce burnout. Fear of COVID-19 is one of the factors that can increase burnout of nurses during the Coronavirus Disease 2019(COVID-19) pandemic.Aim: To investigate the relationship between job burnout and fear of COVID-19 among ICU and CCU nurses.Methods: The Maslach Burnout Inventory (MBI) and the Fear of COVID-19 Scale (FCV-19S) were distributed to ICU and CCU nurses (n = 170) at Shahid Madani Cardiac Hospital, Tabriz, Iran, and the correlation between job burnout and fear of COVID-19 was calculated.Results: The results show that the level of emotional exhaustion and reduced personal accomplishment among participants of this study is average, and depersonalization is at a low level. Also, the level of fear of coronavirus is below average among the respondents. The research showed that emotional exhaustion and fear of COVID-19 were positively correlated (p < 0.05), but there was not any significant correlation between depersonalization and fear of Coronavirus; as the relationship between reduced personal accomplishment and fear of COVID-19. In addition, there were significant correlations between age and reduced personal accomplishment, as well as marital status and reduced personal accomplishment (p < 0.05). On the other hand, the results showed that there were not any significant correlations between gender and burnout dimensions, nor between educational degree and burnout dimensions.Conclusion: As job burnout reduces the quality of nursing care, managers must take strategies that reduce job burnout. One of the strategies that they can take is to reduce the fear of COVID-19 by taking wise strategies.

Download Full-text

Areas of Work Life as Predictors of Occupational Burnout of Nurses and Doctors in Operating Theaters in Poland—Multicenter Studies

Healthcare ◽

10.3390/healthcare10010026 ◽

2021 ◽

Vol 10 (1) ◽

pp. 26

Author(s):

Piotr Jarzynkowski ◽

Renata Piotrkowska ◽

Wioletta Mędrzycka-Dąbrowska ◽

Janina Książek

Keyword(s):

Emotional Exhaustion ◽

Maslach Burnout Inventory ◽

Work Life ◽

Personal Accomplishment ◽

Survey Study ◽

Cross Sectional Survey ◽

Occupational Burnout ◽

Multicenter Studies ◽

Cross Sectional ◽

Mean Values

Introduction: Researchers’ interest in occupational burnout results primarily from the dangerous and extensive consequences of this phenomenon. The aim of the study was to analyze the level of occupational burnout among nurses and doctors in operating theaters. Materials and Methods: A cross-sectional survey study conducted on 325 nurses and doctors of seven hospitals in Poland. The Maslach Burnout Inventory (MBI) and the Areas of Worklife Survey (AWS) by Michael Leiter and Christina Maslach. Results: The mean values for the level of occupational burnout for the entire sample according to the scale from the Maslach Burnout Inventory by C. Maslach amounted to 14.35 for emotional exhaustion, 8.56 for depersonalization, and 11.90 for personal accomplishment; when compared to reference levels, they classified emotional exhaustion at a low level, depersonalization at an average level, and personal accomplishment at a high level of burnout. Areas of work life are predictors of occupational burnout. The analysis showed a relationship between three of the six variables. As the workload increased, so did the level of burnout among participants, and the categories of honesty and values. Conclusions: The conducted research has shown that occupational burnout among nurses and doctors in operating theaters occurs in all dimensions of this phenomenon (emotional exhaustion, depersonalization, job satisfaction). It was also shown that the areas of work life (workload, control, community, rewards, fairness, values) are predictors of occupational burnout among the respondents. This article shows how important the problem of burnout among operating theater medical staff is. Perhaps it will allow nurses and doctors to recognize this syndrome and encourage them make changes to their work to prevent burnout.

Download Full-text

Extending Proximity Measures to Attributed Networks for Community Detection

Complex Systems ◽

10.25088/complexsystems.30.4.441 ◽

2021 ◽

Vol 30 (4) ◽

pp. 441-455

Author(s):

Rinat Aynulin ◽

◽

Pavel Chebotarev ◽

◽

Keyword(s):

Network Analysis ◽

Community Detection ◽

Network Structure ◽

Real World ◽

Adjacency Matrix ◽

Attribute Information ◽

Node Attributes ◽

Proximity Measures ◽

Definition Of ◽

Attributed Networks

Proximity measures on graphs are extensively used for solving various problems in network analysis, including community detection. Previous studies have considered proximity measures mainly for networks without attributes. However, attribute information, node attributes in particular, allows a more in-depth exploration of the network structure. This paper extends the definition of a number of proximity measures to the case of attributed networks. To take node attributes into account, attribute similarity is embedded into the adjacency matrix. Obtained attribute-aware proximity measures are numerically studied in the context of community detection in real-world networks.

Download Full-text

Correlation between job burnout and Fear of COVID-19 among ICU and CCU Nurses (Case study: Shahid Madani Cardiac Hospital, Tabriz, Iran)

Archives of Nursing Practice and Care ◽

10.17352/2581-4265.000057 ◽

2021 ◽

pp. 024-028

Author(s):

Golabi Fatemeh ◽

Alizadeh Aghdam Mohammad Bagher ◽

Akbarian Hamed ◽

Hosseini Mazraehshadi Mir Mojtaba

Keyword(s):

Nursing Care ◽

Emotional Exhaustion ◽

Maslach Burnout Inventory ◽

Job Burnout ◽

Personal Accomplishment ◽

Occupational Burnout ◽

Major Factors ◽

The Relationship ◽

Quality Of Nursing

Background: Occupational burnout among nurses is one of the major factors which affect the quality of nursing care. Assessing the relationship between burnout and its associated factors is one of the most basic things that should be done so that later, actions can be taken to reduce burnout. Fear of COVID-19 is one of the factors that can increase the burnout of nurses during the Coronavirus Disease 2019(COVID-19) pandemic. Aim: To investigate the relationship between job burnout and fear of COVID-19 among ICU and CCU nurses. Methods: The Maslach Burnout Inventory (MBI) and the Fear of COVID-19 Scale (FCV-19S) were distributed to ICU and CCU nurses (n = 170) at Shahid Madani Cardiac Hospital, Tabriz, Iran, and the correlation between job burnout and fear of COVID-19 was calculated. Results: The results show that the level of emotional exhaustion and reduced personal accomplishment among participants of this study is average, and depersonalization is at a low level. Also, the level of fear of coronavirus is below average among the respondents. The research showed that emotional exhaustion and fear of COVID-19 were positively correlated (p < 0.05), but there was not any significant correlation between depersonalization and fear of Coronavirus; as the relationship between reduced personal accomplishment and fear of COVID-19. In addition, there were significant correlations between age and reduced personal accomplishment, as well as marital status and reduced personal accomplishment (p < 0.05). On the other hand, the results showed that there were not any significant correlations between gender and burnout dimensions, nor between educational degree and burnout dimensions. Conclusion: As job burnout reduces the quality of nursing care, managers must take strategies that reduce job burnout. One of the strategies that they can take is to reduce the fear of COVID-19 by taking wise strategies.

Download Full-text

Item and domain network structures of the Resilience Scale for Adults in 675 university students

Epidemiology and Psychiatric Sciences ◽

10.1017/s2045796019000222 ◽

2019 ◽

Vol 29 ◽

Cited By ~ 4

Author(s):

G. Briganti ◽

P. Linkowski

Keyword(s):

Network Analysis ◽

Social Competence ◽

University Students ◽

Protective Factors ◽

Network Structure ◽

Family Cohesion ◽

Clinical Intervention ◽

Resilience Scale ◽

French Speaking ◽

Original Number

Abstract Aims The Resilience Scale for Adults (RSA) is a questionnaire that measures protective factors of mental health. The aim of this paper is to perform a network analysis of the RSA in a dataset composed of 675 French-speaking Belgian university students, to identify potential targets for intervention to improve protective factors in individuals. Methods We estimated a network structure for the 33-item questionnaire and for the six domains of resilience: perception of self, planned future, social competence, structured style, family cohesion and social competence. Node predictability (shared variance with surrounding nodes in the network) was used to assess the connectivity of items. An exploratory graph analysis (EGA) was performed to detect communities in the network: the number of communities detected being different than the original number of factors proposed in the scale, we estimated a new network with the resulting structure and verified the validity of the new construct which was proposed. We provide the anonymised dataset and code in external online materials (10.17632/64db36w8kf.2) to ensure complete reproducibility of the results. Results The network composed of items from the RSA is overall positively connected with strongest connections arising among items from the same domain. The domain network reports several connections, both positive and negative. The EGA reported the existence of four communities that we propose as an additional network structure. Node predictability estimates show that connectedness varies among the items and domains of the RSA. Conclusions Network analysis is a useful tool to explore resilience and identify targets for clinical intervention. In this study, the four domains acting as components of the additional four-domain network structure may be potential targets to improve an individual's resilience. Further studies may endeavour to replicate our findings in different samples.

Download Full-text

Needs, Aggravation, And Degree Of Burnout In Informal Care Providers Of Patients With Chronic Cvd

10.21203/rs.2.22958/v2 ◽

2020 ◽

Author(s):

Elżbieta Szlenk-Czyczerska ◽

Marika Guzik ◽

Dorota Emilia Bielska ◽

Anna Ławnik ◽

Piotr Polański ◽

...

Keyword(s):

Home Care ◽

Informal Care ◽

Emotional Exhaustion ◽

Unmet Needs ◽

Maslach Burnout Inventory ◽

Chronically Ill ◽

Care Providers ◽

Occupational Burnout ◽

Number Of Patients ◽

Home Care Providers

Abstract Abstract Background. A growing number of patients with chronic cardiovascular disease (CVD) creates a growing demand for homecare. Personal and professional limitations, health issues, and lack of systemic support of informal care providers are major causes of insufficient care models for chronically ill patients in home environments. This study aimed to identify the sociodemographic variables that are associated with the needs and increasing occupational burnout observed among home care providers. Methods. This study reports on 161 informal home care providers of patients with CVDs. The research was conducted in the homes of patients, using the Camberwell Assessment of Need Short Appraisal Schedule (CANSAS), the Maslach Burnout Inventory (MBI), and a structured interview questionnaire developed by the authors. Spearman’s rank correlation coefficient test and logistic regression were used for analyses. Results. The majority of the participants were female (70.2%; n=113). We found that younger care providers were less likely to report unmet needs ( p = 0.011), and less likely to report burnout as measured by the MBI Emotional Exhaustion ( p = 0.010) and Depersonalization ( p = 0.009) subscales. Care providers with primary education were more likely to report burnout on the MBI Depersonalization subscale ( p = 0.028). In addition, care providers who worked more often reported higher levels of met needs ( p = 0.022), and burnout as measured on the MBI Depersonalization ( p = 0.005) and Emotional Exhaustion ( p = 0.018) subscales. Subjects residing in urban areas were more likely to report unmet needs ( p = 0.007), and were also more likely to report burnout as measured on the MBI Emotional Exhaustion ( p = 0.006) subscale. Conclusion. Older care providers who are unemployed and reside in cities and unemployed should be targeted with directed programmes to determine the category of unmet needs, and for personalized support. Care providers with these demographic characteristics should be targeted for occupational burnout prevention programmes. Keywords: informal caretaker, met and unmet needs, growing burnout.

Download Full-text

Occupational Burnout Among Frontline Health Professionals in a High-Risk Area During the COVID-19 Outbreak: A Structural Equation Model

Frontiers in Psychiatry ◽

10.3389/fpsyt.2021.575005 ◽

2021 ◽

Vol 12 ◽

Author(s):

Dan Li ◽

YuanYuan Wang ◽

Hui Yu ◽

Zhizhou Duan ◽

Ke Peng ◽

...

Keyword(s):

High Risk ◽

Structural Equation Model ◽

Emotional Exhaustion ◽

Health Professionals ◽

Structural Equation ◽

Maslach Burnout Inventory ◽

Equation Model ◽

Occupational Burnout ◽

Professional Efficacy ◽

Significant Difference

Background: The outbreak of coronavirus disease 2019 (COVID-19) resulted in a substantial workload and stress for frontline health professionals in high-risk areas. Little research has investigated the mechanism of occupational burnout among the frontline health professionals located in the center of the epidemic in Wuhan, China.Methods: A total of 199 frontline health professionals from Wuhan Jinyintan Hospital completed the cross-sectional survey. Mechanisms of occupational burnout (according to the Maslach Burnout Inventory–General Survey, MBI-GS) among the health professionals in Jinyintan Hospital during the COVID-19 outbreak were examined using a structural equation model (SEM).Results: The levels of the three burnout dimensions (emotional exhaustion, cynicism, and professional efficacy) were high at 34.2, 50.8, and 35.2%, respectively. Frontline health professionals in this stressful period reported significantly greater emotional exhaustion (p < 0.001) and job-related cynicism (p < 0.001), but no significant difference in professional efficacy (p = 0.449), when compared to employees in a large multinational company. The SEM results revealed that both acute stress symptoms and psychosomatic symptoms significantly predicted the emotional exhaustion and occupation cynicism dimensions of burnout.Conclusion: The study reveals the occupational burnout mechanism of frontline health professionals during the COVID-19 peak at the time of the outbreak. This study provides an important contribution to understanding the future psychological interventions necessary for frontline health professionals during an epidemic crisis.

Download Full-text

The Status Quo of Doctors’ Occupational Burnout and Its Correlation with the Cognition of Doctor-patient Relationship Tensity

Archives of Medical Science ◽

10.5114/aoms/124990 ◽

2021 ◽

Author(s):

Ling Lan ◽

Meng-Ying Li ◽

Ya-Wei Chen ◽

Meng-Yang Xu ◽

Li Zhang ◽

...

Keyword(s):

Emotional Exhaustion ◽

Maslach Burnout Inventory ◽

Status Quo ◽

Three Dimensions ◽

Patient Relationship ◽

Doctor Patient Relationship ◽

Occupational Burnout ◽

The Poor ◽

The Status ◽

Poor Cognition

IntroductionTo understand the status quo of doctors’ occupational burnout, analyze the correlation between the occupational burnout and cognition of tensity of doctor-patient relationship (DPR).Material and methodsTake 265 doctors in a general hospital in China as respondents, conduct a survey of the degree of occupational burnout with Maslach Burnout Inventory, score the cognitive quantification of DPR tensity with Difficult Doctor-Patient Relationship Questionnaire-8, and analyze the correlation between them. The cognitive quantitative scores of DPR tensity were also given to 782 inpatients and compared with the doctors’ cognitive scores.ResultsThe degrees of occupational burnout in doctors, including three dimensions of emotional exhaustion, depersonalization and sense of personal achievement, were high. The proportions of moderate or more burnout were 49.8%, 53.2% and 48.7%, respectively. There was a statistical difference in occupational burnout among doctors of different ages and professional titles (P<0.05). Doctors’ cognition of DPR tensity was significantly worse than patients’ cognition (P<0.01). The degrees of emotional exhaustion and dehumanization were positively correlated with the poor cognition of DPR tensity in doctors (P<0.001). The degree of sense of personal achievement was negatively correlated with the poor cognition in doctors (P<0.001).ConclusionsDoctors’ age and professional title are important factors that affect the high degree of occupational burnout. Doctors do not have positive cognition of DPR tensity, which is different from that of patiens. The degree of occupational burnout is closely related to the poor cognition of DPR tensity in doctors.

Download Full-text

The Presence of Occupational Burnout and Its Correlates in University Physical Education Personnel

Journal of Sport Management ◽

10.1123/jsm.7.2.107 ◽

1993 ◽

Vol 7 (2) ◽

pp. 107-121 ◽

Cited By ~ 8

Author(s):

Karen E. Danylchuk

Keyword(s):

Physical Education ◽

Human Resource Development ◽

Emotional Exhaustion ◽

Work Experience ◽

Time Pressure ◽

Maslach Burnout Inventory ◽

Personal Accomplishment ◽

Family Status ◽

Occupational Burnout ◽

Job Stressors

The prevalence of occupational burnout and its relationship to job Stressors and job attitudes were examined in physical education faculties/departments as a function of sex, age, marital status, family status, years of work experience in higher education, and type of appointment. The Maslach Burnout Inventory (Maslach & Jackson, 1986), which measures burnout in terms of emotional exhaustion, depersonalization, and reduced personal accomplishment, was the instrument used. Females, individuals 39 years or under, single subjects, coaches, and nontenured faculty/staff reported significantly higher levels of emotional exhaustion than their counterparts. None of the demographic factors was significantly associated with depersonalization or personal accomplishment. Regression analyses indicated that three Stressors—quantitative overload, job scope, and time pressure-—explained the greatest amount of variance in emotional exhaustion; organization structure and human resource development contributed the most to depersonalization. None of the job Stressors contributed to the variance in personal accomplishment.

Download Full-text

Factors Influencing Nurse Burnout and Recommendations

Journal of Student Research ◽

10.47611/jsr.vi.463 ◽

2018 ◽

Author(s):

Eddy Alecia Love Lavalais ◽

Tayler Jackson ◽

Purity Kagure ◽

Myra Michelle DeBose ◽

Annette McClinton

Keyword(s):

Quality Improvement ◽

Standard Deviation ◽

Emotional Exhaustion ◽

Maslach Burnout Inventory ◽

Personal Accomplishment ◽

Combat Stress ◽

Data Set ◽

Factors Influencing ◽

Nurse Burnout ◽

The Mean

Background: Identifying nurse burnout to be of significance, as it directly impacts work ethic, patient satisfaction, safety and best practice. Nurses are more susceptible to fatigue and burnout, due to the fact of working in highly stressful environments and caring for people in their most vulnerable state. It is imperative to pinpoint and alleviate potential aspects that can lead to nurse burnout. Research Hypothesis: Educating nurses on recognizing factors influencing nurse burnout and offering effective interventions to combat stress, will lead to better coping and adaptation skills; hence, decreasing the level of nurse fatigue and burnout. Assisting nurses to be cognizant of the symptoms of stress and nurse burnout will lead to the development of positive adaptive mechanisms. However, nurses without this recognition, tend to develop maladaptive psychological skills. Research Methodology: The quality improvement project gathered data on factors influencing burnout via Maslach Burnout Inventory Tool (MBI). MBI is the most commonly used instrument in measuring burnout, by capturing three subscales of burnout: emotional exhaustion (EE), depersonalization (DP) and personal accomplishment (PA). Results: From a sample of 31 graduate nursing (employed) students, MBI survey was administered via survey monkey. Gathered data (n=31), via descriptive statistics and standard deviation, represented the extent of deviation for the nursing population as a whole. The quality improvement study revealed the standard deviation (SD) for emotional exhaustion, a low SD of 0.3; indicating that data points appear to be closer to the mean (expected value) of the emotional exhaustion data set. Additionally, depersonalization data showed SD values that were widely spread; however, yielding a low SD of 0.42 from the mean on depersonalization. Lastly, higher scores derived from Maslach’s Burnout Inventory tool suggests increased levels of personal accomplishment. Thus, data set revealed lower levels of depersonalization in regards to sample size. Moreover, Pearson correlation coefficient (Pearson r) identified a positive correlation between independent variable of stress levels and factors influencing nurse burnout, with combined teaching of ways to combat stress in the workplace. Effectiveness of this was reported by ninety-eight percent (98%) of participants. Significance: This study maintains that limited emotional exhaustion, a strong sense of identity and achieving personal accomplishments minimizes burn out.

Download Full-text