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Spanish Cross-Cultural Adaptation, Rasch Analysis and Validation of the Ocular Comfort Index (OCI) Questionnaire

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  • Ana Rosa Barrio

    (Optics and Optometry Department, Faculty of Optics and Optometry, Complutense University of Madrid, 28037 Madrid, Spain
    Applied Vision Research Group, Faculty of Optics and Optometry, Complutense University of Madrid, 28037 Madrid, Spain)

  • Mariano González-Pérez

    (Optics and Optometry Department, Faculty of Optics and Optometry, Complutense University of Madrid, 28037 Madrid, Spain)

  • Clara Heredia-Pastor

    (Hospital Clínico San Carlos, 28040 Madrid, Spain)

  • Jacobo Enríquez-Fuentes

    (Hospital Clínico San Carlos, 28040 Madrid, Spain)

  • Beatriz Antona

    (Optics and Optometry Department, Faculty of Optics and Optometry, Complutense University of Madrid, 28037 Madrid, Spain
    Applied Vision Research Group, Faculty of Optics and Optometry, Complutense University of Madrid, 28037 Madrid, Spain)

Abstract

The Ocular Comfort Index (OCI) assesses ocular surface irritation and grades the severity of dry eye disease. This study sought to adapt the OCI questionnaire into Spanish, and then to assess the psychometric performance and validity of the new adapted version (OCI-versión española, OCI VE ). The questionnaire was translated, back translated, and then cross-culturally adapted for use with Spanish-speaking individuals. The OCI VE was completed by 450 participants, including 53 subjects that were diagnosed with dry eye disease. Through a Rasch analysis, the psychometric properties of item fit, targeting, person separation, reliability, and differential item functioning (DIF) were assessed. To test the convergent validity, we examined the correlation between the OCI VE and the Computer Vision Symptom Scale (CVSS17). Validity was tested in a subgroup of participants with and without dry eye, and test-retest repeatability was determined in a subset of 151 individuals. We also compared, via DIF, the performance of the OCI VE with that of the original OCI. Our Rasch analysis revealed a good model fit, high accuracy, good targeting, unidimensionality, and no DIF according to gender. The validity and repeatability were good. The OCI VE shows comparable psychometric properties to the original English version, making it a valid tool for measuring dry eye symptoms in Spanish adults.

Suggested Citation

  • Ana Rosa Barrio & Mariano González-Pérez & Clara Heredia-Pastor & Jacobo Enríquez-Fuentes & Beatriz Antona, 2022. "Spanish Cross-Cultural Adaptation, Rasch Analysis and Validation of the Ocular Comfort Index (OCI) Questionnaire," IJERPH, MDPI, vol. 19(22), pages 1-14, November.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:22:p:15142-:d:975036
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    References listed on IDEAS

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    1. Richard N McNeely & Salissou Moutari & Samuel Arba-Mosquera & Shwetabh Verma & Jonathan E Moore, 2018. "An alternative application of Rasch analysis to assess data from ophthalmic patient-reported outcome instruments," PLOS ONE, Public Library of Science, vol. 13(6), pages 1-32, June.
    2. Mariano González-Pérez & Rosario Susi & Ana Barrio & Beatriz Antona, 2018. "Five levels of performance and two subscales identified in the computer-vision symptom scale (CVSS17) by Rasch, factor, and discriminant analysis," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-16, August.
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