Validation of the Spanish version of the Low Vision Quality of Life Questionnaire

2022 Glenn A. Fry Award lecture: Enhancing clinical assessment for improved ophthalmic management

ABSTRACT

Detailed clinical assessment is critical to allow sensitive evaluation of the eye and its management. As technology advances, these assessment techniques can be adapted and refined to improve the detection of pathological changes of ocular tissue and their impact on visual function. Enhancements in optical medical devices including spectacle, contact, and intraocular lenses have allowed for a better understanding of the mechanism and amelioration of presbyopia and myopia control. Advancements in imaging technology have enabled improved quantification of the tear film and ocular surface, informing diagnosis and treatment strategies. Miniaturized electronics, large processing power, and in-built sensors in smartphones and tablets capacitate more portable assessment tools for clinicians, facilitate self-monitoring and treatment compliance, and aid communication with patients. This article gives an overview of how technology has been used in many areas of eye care to improve assessments and treatment and provides a snapshot of some of my studies validating and using technology to inform better evidence-based patient management.

Exploratory and confirmatory factor analysis of the Persian version of the low-vision quality-of-life questionnaire

Most of the vision quality assessment questionnaires are in English. None of the low-vision-related quality-of-life questionnaires have been translated or developed in Persian. It will help Persian optometrists and ophthalmologists to assess improvement of visual function and quality of life during their low-vision rehabilitation programs. In this study, we aimed to translate the low-vision quality-of-life (LVQOL) questionnaire in Persian language and apply exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) to assess the construct validity and fit model. Translation and cultural adjustment of the English language LVQOL questionnaire to Persian was undertaken. Overall, 100 low-vision patients were participated to validate and model the assessment questionnaire by both EFA and CFA methods. Complementary EFA and CFA results provide detailed information about item and scale performance of the Persian LVQOL. EFA showed Items 15, 16, and 21 which had factor loadings lower than 0.3. The modified model had the comparative fit index (CFI) and root mean square error of approximation (RMSEA) of 0.89 and 0.06, respectively. The translation, adjustment, and fit analysis of the LVQOL questionnaire into Persian were successful and it will be valuable in both clinical practice and research.