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Mariamma Philip 1 Article
Reliability of a Newly Developed Tool to Assess and Classify Work-related Stress (TAWS-16) for Indian Workforce
Gautham Melur Sukumar, Runalika Roy, Mariamma Philip, Gururaj Gopalkrishna
J Prev Med Public Health. 2023;56(5):407-412.   Published online August 19, 2023
DOI: https://doi.org/10.3961/jpmph.23.219
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AbstractAbstract AbstractSummary PDF
Objectives
Work stress is associated with non-communicable diseases, increased healthcare costs, and decreased work productivity among employees in the information technology sector. There is a need for regular work-stress screening among employees using valid and reliable tools. The Tool to Assess and Classify Work Stress (TAWS-16) was developed to overcome limitations in existing stress assessment tools in India. This study aimed to test the reliability of TAWS-16 in a sample of managerial-supervisory employees.
Methods
This observational reliability study included data from 62 employees. Test-retest and inter-method reliability were investigated using a TAWS-16 web application and interview by telephone, respectively. Kappa values and intra-class correlation coefficients were calculated. Internal consistency was assessed through Cronbach’s alpha.
Results
For both test-retest and inter-method reliability, the agreement for both work-related factors and symptoms suggestive of work stress exceeded 80%, and all kappa values were 0.40 or higher. Cronbach’s alpha for test-retest and inter-method reliability was 0.983 and 0.941, respectively.
Conclusions
TAWS-16 demonstrated acceptable reliability. It measured stressors, coping abilities, and psychosomatic symptoms associated with work stress. We recommend using TAWS-16 to holistically identify work stress among employees during periodical health check-ups in India.
Summary
Key Message
The study assessed test-retest and inter-method reliability of Tool to Assess Work Stress (TAWS – 16) developed by Centre for Public Health, National Institute of Mental Health and Neurosciences (NIMHANS) on 62 employees in Bengaluru, India. Kappa statistics, Intra-class correlation coefficient (ICC) and Cronbach’s alpha were calculated. TAWS – 16 demonstrated acceptable reliability, good internal consistency and can be used to identify work stress among employees during periodical health check-ups in Indian setting.

JPMPH : Journal of Preventive Medicine and Public Health