The association between doctors’ presenteeism and job burnout: a cross-sectional survey study in China

Pei, Pei; Lin, Guohua; Li, Gaojie; Zhu, Yifan; Xi, Xiaoyu

doi:10.1186/s12913-020-05593-9

Cited by 36 publications

(32 citation statements)

References 48 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The job burnout of this study was investigated using the Chinese version of the Maslach Burnout Inventory–General Survey (MBI-GS), which has been widely used in Chinese medical staff, and has been shown to have good reliability and validity [ 25 ]. The MBI-GS of Chinese version consists of three dimensions and 15 items: emotional exhaustion (EE, five items), cynicism (CY, four items) and reduced personal accomplishment (PA, six items).…”

Section: Methodsmentioning

confidence: 99%

Job burnout and its impact on work ability in biosafety laboratory staff during the COVID-19 epidemic in Xinjiang

Liu

Yan

et al. 2021

BMC Psychiatry

View full text Add to dashboard Cite

Background The coronavirus disease 2019 (COVID-19) has increased the physical and psychological stress of medical workers. This study was designed to investigate the prevalence and risk factors of job burnout and its impact on work ability among Biosafety Laboratory (BSL) staffs during the COVID-19 epidemic in Xinjiang. Methods A total of 7911 qualified BSL staffs in Xinjiang were investigated by electronic questionnaires. The Maslach Burnout Inventory-General Survey (MBI-GS) was used for job burnout survey. Work Ability Index (WAI) was used for work ability survey. The prevalence and risk factors of job burnout in BSL staffs were analyzed through chi square test, t-test and one-way ANOVA. And then, the influence of demographic and job-related variables, i.e., confounding factors, were eliminated to the greatest extent by the propensity score analysis (PSA) method, to investigate the impact of job burnout on work ability in BSL staffs. Results A total of 67.6% BSL staffs experienced job burnout. There were significant differences in the detection rate of job burnout among demographic and job-related variables, including gender, age, ethnicity, education, working years, professional title, marital status, number of night shift per month and overall sleep condition (all P < 0.05). The detection rate of job burnout in female was higher than that in male. The detection rates of job burnout in 45–50 years old, Han ethnicity, education of postgraduate or above, 11–20 years of working, intermediate professional title, married, staff with many night shifts per month and poor overall sleep condition were higher than that of other groups. The average burnout scores of the Emotional Exhaustion (EE), Cynicism (CY), Reduced Personal Accomplishment (PA) scale were 10.00 ± 5.99, 4.64 ± 4.59 and 15.25 ± 8.16, respectively. Multiple logistic regression analysis showed that the three dimensions of job burnout, i.e., EE, CY, PE, were negatively correlated with work ability and significantly affected the work ability of BSL staffs (all P < 0.001). Conclusions Our results suggest that the prevalence of job burnout is extremely common among BSL staffs. In addition, the work ability decreases with the increase of job burnout and the improvement of job burnout can enhance work ability among BSL staffs.

show abstract

Section: Methodsmentioning

confidence: 99%

Job burnout and its impact on work ability in biosafety laboratory staff during the COVID-19 epidemic in Xinjiang

Liu

Yan

et al. 2021

BMC Psychiatry

View full text Add to dashboard Cite

show abstract

“…In addition, this model of equivalence between dimensions and items ignores the relationship between them, which may play a very important role in the development and maintenance of burnout [ 11 ]. Some scholars believe that each dimension should be calculated in a weighted manner [ 12 ]. In the calculation of the total score, emotional exhaustion accounted for 40%, cynicism and reduced personal satisfaction each accounted for 30% [ 12 ].…”

Section: Introductionmentioning

confidence: 99%

“…Some scholars believe that each dimension should be calculated in a weighted manner [ 12 ]. In the calculation of the total score, emotional exhaustion accounted for 40%, cynicism and reduced personal satisfaction each accounted for 30% [ 12 ]. Some scholars believe that the scores of the three dimensions cannot be added at all; thus, each dimension should be calculated separately and a threshold standard should be established [ 13 , 14 ].…”

Section: Introductionmentioning

confidence: 99%

The item network and domain network of burnout in Chinese nurses

Ren

Wang

et al. 2021

BMC Nurs

View full text Add to dashboard Cite

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.

show abstract

“…High rates of presenteeism among the nurses decrease their performances, increases the patient safety risks, and cause negative results in healthcare institutions in time [26]. In the study which was conducted by Pei 2020 et al [27]. With healthcare workers, it was found that 86.8% of the participants had high presenteeism scale scores.…”

Section: Discussionmentioning

confidence: 99%

Determining the Relationship Between Presenteeism and Organizational Support in Nursing

Şahan

Yıldız

2020

International Journal of Health Services Research and Policy

View full text Add to dashboard Cite

High rates of presenteeism among the nurses decreases their performances, increases the patient safety risks, and causes negative results in healthcare institutions. Presenteeism is affected by individual and organizational factors. The study was carried out to determine the presenteeism situation of nurses and their relationship with perceived organizational support. The research was carried out at a hospital in Kayseri/Turkey. The hospital has 372 nurses work there. Research population and sample the population of the research consisted of all the nurses working in the hospital (N=372). Thus, the research was conducted on 330 nurses. The research was carried out between September 2019 and November 2019. In the study, the data were collected by using the information form which was prepared by the researcher, the presenteeism scale, and the perceived organizational support scale. The total mean score of the participants' presenteeism is 23.64 ± 2.56. The lowest possible score which was obtained from the scale is 11 and the highest is 28. When the average of the perceived organizational support scale is examined; the average of the score was medium and the average score was 122.76 ± 8.53. It was determined that there was a significant relationship between the absence of attentiondistraction, which is the sub-dimension of presenteeism scale, and the total score of perceived organizational support (p<0.05), there was no significant relationship with completion task and presenteeism total scale scores (p>0.05). The high rate of presenteeism in nurses, decrease in work efficiency and job satisfaction, causes absenteeism. These studies suggest that measures should be taken by institutions to prevent and avoid negative situations that are caused by presenteeism.

show abstract

The association between doctors’ presenteeism and job burnout: a cross-sectional survey study in China

Cited by 36 publications

References 48 publications

Job burnout and its impact on work ability in biosafety laboratory staff during the COVID-19 epidemic in Xinjiang

Job burnout and its impact on work ability in biosafety laboratory staff during the COVID-19 epidemic in Xinjiang

The item network and domain network of burnout in Chinese nurses

Determining the Relationship Between Presenteeism and Organizational Support in Nursing

Contact Info

Product

Resources

About