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Psychology  2021 

Measuring Employee Risk for Burnout

DOI: 10.4236/psych.2021.124039, PP. 624-642

Keywords: Risk for Burnout, Workplace Engagement, Employee Wellbeing and Engagement, Presenteeism, Validity, Reliability

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Abstract:

Objective: Employee mental health is now moving into the fast lane as companies realize that presenteeism costs and mental ill-health related issues have a negative correlation to company productivity and overall engagement. Furthermore, burnout or mental exhaustion tends to significantly afflict the most productive and motivated employees within the company, so proactively identifying such risk is sustainably advantageous for continuous operations. The objective of the study is to examine the reliability and validity of the Risk for Burnout Measure to proactively identify an employee’s potential risk for burnout within a cohort from various companies in Sweden. The Study Design and Setting: Empowerment for Participation (EFP) batch of assessments, consisting of 110 questions, is used to measure employee motivation, stress, defense routines and motivational positioning or adaptability on an individual and aggregate level within a company. This study looks at the reliability and validity of a composite of thirty questions extracted from the EFP batch to effectively measure the status of an individual in relation to a potential risk for Burnout or Mental Exhaustion Syndrome. N = 69 is a cohort of personnel from three small companies and an unbound group (employed but not belonging to a group from a company). Originally, the EFP battery was used to proactively monitor, track and identify (in a preventive context) measures that enhance individual wellbeing and engagement in a company population. Results: EFP showed excellent reliability (α = 0.929 based on Standardized Items) and statistically significant Intraclass Correlation Coefficient (95% confidence interval (CI = 0.950; p < 0.001)), as well as an internal validity of 92.8% and an external validity of 91.2%. Significant correlations with normal distributions for degrees of Risk for Burnout were found within the cohort: No Evidence (31.9%), Low Risk (44.9%), Moderate Risk (18.8%), High Risk (4.3%), and Burned-out (0%) where diagnoses or and the use of SSRI anti-depressives highly correlated to 95.7% within the High Risk group (CI = 0.950; p < 0.001). Conclusion: The findings indicate that the Risk for Burnout derived from the EFP Batch of Assessments is an excellent tool for companies to predict employee distribution Risk for Burnout within their operational environment. Providing companies with the knowledge to predict mental exhaustion prior to affliction, affords companies the ability to proactively launch preventative

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