Development of Multidimensional Screening Tool for WMSDs

Work-related musculoskeletal disorders (WMSDs) are a major occupational health issue. While various screening tools exist, few comprehensively assess red flags (signs of serious pathology), yellow flags (psychosocial risk factors), and physical symptoms specifically for industrial workers. This study aims to address this gap by developing a new screening tool and validating its reliability and validity. The study design follows the COSMIN (COnsensus-based Standards for the selection of health Measurement INstruments) checklist. The validation process involves a cross-sectional survey targeting 250 workers, including both office and production staff. The developed tool is designed to screen for serious medical conditions (Red flags) requiring referral, as well as to assess physical symptoms and psychosocial barriers (Yellow flags). Psychometric evaluation will specifically focus on the physical and psychosocial domains, as Red flags are typically binary screening items. Key psychometric properties to be evaluated include: 1. Structural Validity: Confirmatory Factor Analysis (CFA) will be conducted to verify the factor structure of the physical and psychosocial domains. 2. Internal Consistency: Cronbach's alpha coefficients will be calculated for these subscales. 3. Measurement Invariance: Multi-group CFA will be performed to ensure the tool functions equivalently across different job types (office vs. production). 4. Construct Validity: Correlations with established instruments (e.g., OSPRO-YF, FABQ, TSK) will be analyzed. The ultimate goal is to provide a practical and scientifically validated instrument for the early detection, triage, and management of WMSDs in workplace settings. 5. Cut-off Determination: ROC analysis will be conducted to establish optimal cut-off scores for identifying high-risk groups (Yellow flags), using established tools as a reference.