1,592 publications from this institution
Aim. This paper reports a study investigating whether burnout is contagious. Background. Burnout has been recognized as a problem in intensive care units for a long time. Previous research has focused primarily on its organizational antecedents, such as excessive workload or high patient care demands, time pressure and intensive use of sophisticated technology. The present study took a totally different perspective by hypothesizing that – in intensive care units – burnout is communicated from one nurse to another. Methods. A questionnaire on work and well‐being was completed by 1849 intensive care unit nurses working in one of 80 intensive care units in 12 different European countries in 1994. The results are being reported now because they formed part of a larger study that was only finally analysed recently. The questionnaire was translated from English to the language of each of these countries, and then back‐translated to English. Respondents indicated the prevalence of burnout among their colleagues, and completed scales to assess working conditions and job burnout. Results. Analysis of variance indicated that the between‐unit variance on a measure of perceived burnout complaints among colleagues was statistically significant and substantially larger than the within‐unit variance. This implies that there is considerable agreement (consensus) within intensive care units regarding the prevalence of burnout. In addition, the results of multilevel analyses showed that burnout complaints among colleagues in intensive care units made a statistically significant and unique contribution to explaining variance in individual nurses’ and whole units’ experiences of burnout, i.e. emotional exhaustion, depersonalization and reduced personal accomplishment. Moreover, for both emotional exhaustion and depersonalization, perceived burnout complaints among colleagues was the most important predictor of burnout at the individual and unit levels, even after controlling for the impact of well‐known organizational stressors as conceptualized in the demand‐control model. Conclusion. Burnout is contagious: it may cross over from one nurse to another.
The Job Demands-Resources Model: A critical review The Job Demands-Resources Model: A critical review The Job Demands-Resources model (JD-R model) has become popular among both researchers and practitioners. The current version of the model proposes that high job demands lead to strain and ill-health (the health impairment process), whereas high resources lead to increased motivation and productivity (the motivational process). We first review the model’s development and its assumptions and then present an overview of the main findings obtained with the model. Although the model’s predictions are largely supported, several critical comments can be made. These include the model’s epistemological status, the differentiation between demands and resources, the role of personal resources, the interdependence of the health impairment and the motivational processes, the direction of causality, and the model’s applicability at the collective/team level. Based on these issues, suggestions for future research on the JD-R model are proposed.
Background Burnout is an increasing public health concern that afflicts employees globally. The measurement of burnout is not without criticism, specifically in the context of its operational definition as a syndrome, also recently designated as such by the World Health Organisation. The Burnout Assessment Tool (BAT-23) is a new measure for burnout that addresses many of the criticisms surrounding burnout scales. The aim of this study is to determine the validity, reliability, and measurement invariance of the BAT-23 in South Africa. Method A quantitative, cross-sectional survey, approach was taken ( n = 1048). Latent variable modelling was implemented to investigate the construct-relevant multidimensionality that is present in the BAT. For measurement invariance, the configural, metric, scalar, and strict models were tested. Results The analyses showed that the hierarchical operationalisation of BAT-assessed burnout was the most appropriate model for the data. Specifically, a bifactor ESEM solution. Composite reliability estimates were all well above the cut-off criteria for both the global burnout factor and the specific factors. The measurement invariance tests showed that gender achieved not only strong invariance, but also strict invariance. However, ethnicity initially only showed strong invariance, but a test of partial strict invariance did show that the mean scores could be fairly compared between the groups when releasing certain constraints. Conclusions The BAT-23 is a valid and reliable measure to investigate burnout within the Southern African context.
The relationship between three different performance measures and burnout was explored in 20 Dutch Intensive Care Units (ICUs). Burnout (i.e. emotional exhaustion and depersonalization) proved to be significantly related to nurses' perceptions of performance as well as to objectively assessed unit performance. Subjective performance measures relate negatively to burnout levels of nurses, whereas an objective performance measure relates positively to burnout. Furthermore, subjectively assessed personal performance (i.e. personal accomplishment) is more strongly related to burnout than subjectively assessed unit performance. A model test of the relationship between both types of subjective performance and burnout reveals that nurses' perception of unit performance is indirectly related to burnout through perception of personal performance. This model holds similarly for objectively well- and poor-performing ICUs.
The present study investigates whether work engagement (measured by the Utrecht Work Engagement Scale; UWES) could be empirically separated from job involvement and organizational commitment. In addition, psychometric properties of the Swedish UWES were investigated. Discriminant validity of the UWES was tested through inspection of latent intercorrelations between the constructs, confirmatory factor analyses, and patterns of correlations with other constructs (health complaints, job and personal factors, and turnover intention) in a sample of Information Communication Technology consultants (N = 186). Conclusion: Work engagement, job involvement, and organizational commitment are empirically distinct constructs and, thus, reflect different aspects of work attachment. The internal consistency of the Swedish UWES was satisfactory, but the dimensionality was somewhat unclear.
OBJECTIVE: Despite decades of burnout research, clinical validated cut-off scores that discriminate between those who suffer from burnout and those who don’t are still lacking. To establish such cut-off scores, the current study uses a newly developed questionnaire, the Burnout Assessment Tool (BAT) that consists of four subscales (exhaustion, mental distancing, and emotional and cognitive impairment). Separate cut-offs were computed for those at risk for burnout and those suffering from severe burnout for the original BAT-23 as well as for the shortened BAT-12. METHODS: Relative operating characteristic (ROC) analyses were carried out using representative samples of healthy employees from The Netherlands (N=1370), Belgium (Flanders; N=1403) and Finland (N=1350). In addition, samples of employees who received a burnout diagnosis were used (N=335, 158 and 50, respectively). RESULTS: The diagnostic accuracy of the BAT (area under the curve) ranges from good to excellent with the exception of mental distancing, which is fair. The country-specific cut-off values as well as their specificity and sensitivity are comparable to those of the pooled sample. CONCLUSIONS: In addition to country-specific cut-offs, general cut-offs can be used tentatively in other similar countries, pending future replication studies. Caution is warranted for using cut-offs for mental distance as the sensitivity and specificity of this subscale is relatively poor. It is concluded that the BAT can be used in organizational surveys for identifying employees at risk for burnout and, in clinical treatment settings, for identifying those with severe burnout, keeping in mind the tentativeness of the present cut-offs.
