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Online Self-Report Questionnaire on Computer Work-related Exposure (OSCWE): Validity and Internal Consistency

Keerin Mekhora PhD*, Wattana Jalayondeja PhD*, Chutima Jalayondeja DrPH*, Petcharatana Bhuanantanondh PhD*, Asadang Dusadiisariyavong MD**, Rujiret Upiriyasakul MSc*, Khajornyod Anuraktam BSc*

Affiliation : * Faculty of Physical Therapy, Mahidol University, Nakhon Pathom, Thailand ** Medical and Occupational Health, PTT Exploration and Production Public Company Limited, Bangkok, Thailand

Objective : To develop an online, self-report questionnaire on computer work-related exposure (OSCWE) and to determine the internal consistency, face and content validity of the questionnaire. Material and Method: The online, self-report questionnaire was developed to determine the risk factors related to musculoskeletal disorders in computer users. It comprised five domains: personal, work-related, work environment, physical health and psychosocial factors. The questionnaire’s content was validated by an occupational medical doctor and three physical therapy lecturers involved in ergonomic teaching. Twenty-five lay people examined the feasibility of computer- administered and the user-friendly language. The item correlation in each domain was analyzed by the internal consistency (Cronbach’s alpha; α).
Results : The content of the questionnaire was considered congruent with the testing purposes. Eight hundred and thirty-five computer users at the PTT Exploration and Production Public Company Limited registered to the online self-report questionnaire. The internal consistency of the five domains was: personal (α = 0.58), work-related (α = 0.348), work environment (α = 0.72), physical health (α = 0.68) and psychosocial factor (α = 0.93).
Conclusion : The findings suggested that the OSCWE had acceptable internal consistency for work environment and psychosocial factors. The OSCWE is available to use in population-based survey research among computer office workers.

Keywords : Online self-report questionnaire, Musculoskeletal disorder, Computer user


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