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Original Article

Psychometric Properties of the Persian Translation of the 12-Item Utah Photophobia Symptom Impact Scale Questionnaire

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Received 01 Dec 2023, Accepted 11 Jan 2024, Published online: 07 Feb 2024
 

ABSTRACT

To translate the the Utah Photophobia Symptom Impact Scale-12 questionnaire into Persian and assess the psychometric aspects to check its validity and reliability based on the Rasch modelling method. Translation and cultural adjustment of the English language UPSIS-12 questionnaire to Persian was undertaken. A total of 61 patients with complaints of photophobia participated in evaluating validity and reliability aspects. All the participants were asked to complete the Persian translation of the UPSIS-12 questionnaire. Rasch analyses of the survey items were conducted using WINSTEPS. All items fit the Rasch model. Point-measure correlation values varied from 0.41 to 0.77, providing a preliminary indication of adequate construct validity. All factor loadings were found more than 0.4. All items obtained infit and outfit mean square (MnSq) values of < 2.0. All participants except 5 had normal outfit values. Patients’ abilities relative to the items’ difficulty were analysed. Item difficulty was estimated and item characteristic curves were included. Sufficient unidimensionality, hierarchical order, and equal interval scoring were obtained. In conclusion, the Persian UPSIS-10 questionnaire has excellent psychometric properties and it will be valuable in both clinical practice and research. It will help Persian practitioners to assess their patients’ photophobia.

Disclosure statement

The study protocol adhered to the principles of the Declaration of Helsinki and was approved by the ethics committee of Mashhad University of Medical Sciences. All patients were informed about the study and provided signed informed consent to participate. The authors report there are no competing interests to declare.

Additional information

Funding

This work was supported by Mashhad University of Medical Sciences [Grant code: 4010522]. No financial disclosures.

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