María del Mar Seguí1, Julio Cabrero-García2, Ana Crespo3, José Verdú4, Elena Ronda5. 1. Optic Pharmacology and Anatomy Department, Public Health Research Group, University of Alicante, Carretera de San Vicente del Raspeig s/n. 03690, San Vicente del Raspeig, Alicante, Spain. Electronic address: mm.segui@ua.es. 2. Nursing Department, Faculty of Health Sciences, University of Alicante, Carretera de San Vicente del Raspeig s/n. 03690, San Vicente del Raspeig, Alicante, Spain. 3. Optic Pharmacology and Anatomy Department, Public Health Research Group, University of Alicante, Carretera de San Vicente del Raspeig s/n. 03690, San Vicente del Raspeig, Alicante, Spain. 4. Balmis Research Group on Community Health and History of Science, Community Nursing Preventive Medicine Public Health and History of Science Department, University of Alicante, Carretera de San Vicente del Raspeig s/n. 03690, San Vicente del Raspeig, Alicante, Spain. 5. Community Nursing Preventive Medicine Public Health and History of Science Department, Public Health Research Group, Occupational Health Research Centre (CISAL), CIBER Epidemiology and Public Health (CIBERESP), University of Alicante, Carretera de San Vicente del Raspeig s/n. 03690, San Vicente del Raspeig, Alicante, Spain.
Abstract
OBJECTIVES: To design and validate a questionnaire to measure visual symptoms related to exposure to computers in the workplace. STUDY DESIGN AND SETTING: Our computer vision syndrome questionnaire (CVS-Q) was based on a literature review and validated through discussion with experts and performance of a pretest, pilot test, and retest. Content validity was evaluated by occupational health, optometry, and ophthalmology experts. Rasch analysis was used in the psychometric evaluation of the questionnaire. Criterion validity was determined by calculating the sensitivity and specificity, receiver operator characteristic curve, and cutoff point. Test-retest repeatability was tested using the intraclass correlation coefficient (ICC) and concordance by Cohen's kappa (κ). RESULTS: The CVS-Q was developed with wide consensus among experts and was well accepted by the target group. It assesses the frequency and intensity of 16 symptoms using a single rating scale (symptom severity) that fits the Rasch rating scale model well. The questionnaire has sensitivity and specificity over 70% and achieved good test-retest repeatability both for the scores obtained [ICC = 0.802; 95% confidence interval (CI): 0.673, 0.884] and CVS classification (κ = 0.612; 95% CI: 0.384, 0.839). CONCLUSION: The CVS-Q has acceptable psychometric properties, making it a valid and reliable tool to control the visual health of computer workers, and can potentially be used in clinical trials and outcome research.
OBJECTIVES: To design and validate a questionnaire to measure visual symptoms related to exposure to computers in the workplace. STUDY DESIGN AND SETTING: Our computer vision syndrome questionnaire (CVS-Q) was based on a literature review and validated through discussion with experts and performance of a pretest, pilot test, and retest. Content validity was evaluated by occupational health, optometry, and ophthalmology experts. Rasch analysis was used in the psychometric evaluation of the questionnaire. Criterion validity was determined by calculating the sensitivity and specificity, receiver operator characteristic curve, and cutoff point. Test-retest repeatability was tested using the intraclass correlation coefficient (ICC) and concordance by Cohen's kappa (κ). RESULTS: The CVS-Q was developed with wide consensus among experts and was well accepted by the target group. It assesses the frequency and intensity of 16 symptoms using a single rating scale (symptom severity) that fits the Rasch rating scale model well. The questionnaire has sensitivity and specificity over 70% and achieved good test-retest repeatability both for the scores obtained [ICC = 0.802; 95% confidence interval (CI): 0.673, 0.884] and CVS classification (κ = 0.612; 95% CI: 0.384, 0.839). CONCLUSION: The CVS-Q has acceptable psychometric properties, making it a valid and reliable tool to control the visual health of computer workers, and can potentially be used in clinical trials and outcome research.
Authors: Samuel Bert Boadi-Kusi; Sampson Listowell Abu; George Oppong Acheampong; Peter Osei-Wusu Adueming; Emmanuel Kwasi Abu Journal: J Environ Public Health Date: 2020-04-27
Authors: Mar Sánchez-Brau; Begoña Domenech-Amigot; Francisco Brocal-Fernández; Jose Antonio Quesada-Rico; Mar Seguí-Crespo Journal: Int J Environ Res Public Health Date: 2020-02-05 Impact factor: 3.390