Development of Multidimensional Screening Tool for WMSDs

April 22, 2026 updated by: Kibum Jung, Sahmyook University

Development and Validation of a Multidimensional Screening Tool for Work-Related Musculoskeletal Disorders: A COSMIN-Guided Psychometric Study

The purpose of this study is to develop a multidimensional screening tool for Work-Related Musculoskeletal Disorders (WMSDs) and to evaluate its psychometric properties. The study involves a cross-sectional survey of approximately 250 workers in the bio-pharmaceutical industry to assess the tool's structural validity, internal consistency, construct validity, and measurement invariance following COSMIN guidelines.

Study Overview

Detailed Description

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.

Study Type

Observational

Enrollment (Estimated)

250

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Locations

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

The study population consists of workers currently employed at a bio-pharmaceutical company (Samsung Biologics) in South Korea. This includes both office workers engaged in VDT tasks and production workers involved in physical tasks who report musculoskeletal symptoms.

Description

Inclusion Criteria:

  • Current regular employees working at the study site.
  • Adults aged 19 years or older who understand the study purpose and procedures and voluntarily agree to participate in writing.
  • Participants capable of reading, understanding, and self-responding to the questionnaire.
  • Individuals with musculoskeletal symptoms according to NIOSH standards: symptoms lasting more than one week OR recurring at least once a month in the past 12 months (symptoms include pain, aching, stiffness, burning sensation, tingling, or numbness).

Exclusion Criteria:

  • Individuals with cognitive or mental impairments that make it difficult to understand the study or complete the survey.
  • Individuals suspected of having a medical emergency or severe disease requiring immediate medical attention.
  • Individuals deemed unsuitable for participation by the researcher.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Bio-pharmaceutical Industry Workers
Workers currently employed at Samsung Biologics, including both office and production staff, who meet the inclusion criteria for musculoskeletal symptoms.
Participants will complete the newly developed multidimensional screening tool and standard validation questionnaires (e.g., OSPRO-YF, FABQ, TSK) to assess musculoskeletal symptoms and psychosocial factors.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Structural Validity
Time Frame: Baseline
Evaluated using Confirmatory Factor Analysis (CFA). Model fit will be assessed based on stricter criteria: CFI ≥ 0.95, TLI ≥ 0.95, RMSEA ≤ 0.06, and SRMR ≤ 0.08 (Hu & Bentler, 1999). If model fit is insufficient, modification indices (MI) will be used to adjust the model within theoretically justifiable limits.
Baseline

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Internal Consistency
Time Frame: Baseline
Assessed using Cronbach's alpha coefficients for each factor. A value between 0.70 and 0.90 is considered to indicate appropriate internal consistency (Tavakol & Dennick, 2011).
Baseline
Measurement Invariance
Time Frame: Baseline
Evaluated using Multi-group CFA between office workers (VDT tasks) and production workers (physical tasks). Invariance is determined based on criteria such as ΔCFI ≤ 0.01 and ΔRMSEA ≤ 0.015 (Chen, 2007).
Baseline
Construct Validity
Time Frame: Baseline
Assessed by analyzing correlations (Pearson or Spearman) between the developed tool and standard instruments. A correlation coefficient (r) of ≥ 0.50 represents adequate convergent validity.
Baseline
Cut-off Determination for Yellow Flags
Time Frame: Baseline
Receiver Operating Characteristic (ROC) analysis will be conducted to establish optimal cut-off scores for identifying high-risk groups (Yellow flags). Established instruments (e.g., OSPRO-YF) will be used as a reference to calculate sensitivity, specificity, and the Youden index.
Baseline

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Estimated)

June 20, 2026

Primary Completion (Estimated)

December 31, 2026

Study Completion (Estimated)

December 31, 2026

Study Registration Dates

First Submitted

January 17, 2026

First Submitted That Met QC Criteria

January 17, 2026

First Posted (Actual)

January 26, 2026

Study Record Updates

Last Update Posted (Actual)

April 24, 2026

Last Update Submitted That Met QC Criteria

April 22, 2026

Last Verified

April 1, 2026

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

IPD Plan Description

Individual participant data will not be shared to protect the privacy and confidentiality of the participants.

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

Clinical Trials on Musculoskeletal Diseases

Clinical Trials on Survey Administration

Subscribe