2021
DOI: 10.4236/psych.2021.124039
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Measuring Employee Risk for Burnout

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Cited by 2 publications
(7 citation statements)
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“…A meta-analysis carried out by Duijts et al [3] showed that predictors of sickness can be used in a homogeneous manner to identify presenteeism. Presenteeism relates to those who choose to remain at work, even though they are not physically or psychologically well, thereby impacting productivity, team dynamics, workflow, and the bottom line [4,5]. A literature review also revealed that key work factors associated with psychological ill-health and absence in staff were associated with long work hours, work overload and pressure, lack of control, lack of participation in decision-making, poor social support, and unclear management and work roles [4,5].…”
Section: Measuring Burnoutmentioning
confidence: 99%
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“…A meta-analysis carried out by Duijts et al [3] showed that predictors of sickness can be used in a homogeneous manner to identify presenteeism. Presenteeism relates to those who choose to remain at work, even though they are not physically or psychologically well, thereby impacting productivity, team dynamics, workflow, and the bottom line [4,5]. A literature review also revealed that key work factors associated with psychological ill-health and absence in staff were associated with long work hours, work overload and pressure, lack of control, lack of participation in decision-making, poor social support, and unclear management and work roles [4,5].…”
Section: Measuring Burnoutmentioning
confidence: 99%
“…These have proven to be statistically significant in previous studies (N=73)-risk for burnout: Cronbach α=.928; P<.001; partial eta squared=0.900, Cohen d=0.900 (Michelsen, 2021 [4]). It has excellent content validity: internal validity of P>.93 and external validity of P>.91 [4].…”
Section: Measuring Burnoutmentioning
confidence: 99%
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