Validation of the Ocular Pain Assessment Survey Instrument With Rasch Analysis.

IF 2.6 3区 医学 Q2 OPHTHALMOLOGY
Debbie Marie Ng, Xiu Wang, Chang Liu, MingYi Yu, Isabelle Xin Yu Lee, Jipson Hon Fai Wong, Regina Kay Ting Wong, Diana Xin Hui Chan, Yu-Chi Liu, Louis Hak Tien Tong
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引用次数: 0

Abstract

Purpose: The Ocular Pain Assessment Survey (OPAS) has been used to quantify chronic ocular pain and quality of life (QOL). We aim to investigate the psychometric properties of individual OPAS items with the Rasch analysis in an Asian population of dry eye disease and neuropathic corneal pain (NCP).

Methods: Question responses were obtained from 196 patients; 138 with dry eye disease (DED) and 58 with NCP, at the Singapore National Eye Centre. Item hierarchy, item fit statistics, item separation, reliability indices, and Yen's Q3 values were calculated.

Results: Individual dimensions that quantify eye pain levels in the past 24 hours and QOL showed good discriminative ability according to their person separation index values. However, individual dimensions that measured eye pain in the past 2 weeks, non-eye pain, as well as aggravating and associated factors showed suboptimal person separation index values. Significant correlations were found between the individual item pairs of the aggravating factors dimension as well as between some of the items in the QOL and associated factors dimensions.

Conclusions: Two dimensions of the OPAS questionnaire were validated with the Rasch analysis. Based on these findings, we shorten the number of questions in some dimensions to improve the performance of the tool in similar Asian populations.

Translational relevance: Our study provides insights to improve the existing OPAS for real-world clinical applications and clinical trials.

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来源期刊
Translational Vision Science & Technology
Translational Vision Science & Technology Engineering-Biomedical Engineering
CiteScore
5.70
自引率
3.30%
发文量
346
审稿时长
25 weeks
期刊介绍: Translational Vision Science & Technology (TVST), an official journal of the Association for Research in Vision and Ophthalmology (ARVO), an international organization whose purpose is to advance research worldwide into understanding the visual system and preventing, treating and curing its disorders, is an online, open access, peer-reviewed journal emphasizing multidisciplinary research that bridges the gap between basic research and clinical care. A highly qualified and diverse group of Associate Editors and Editorial Board Members is led by Editor-in-Chief Marco Zarbin, MD, PhD, FARVO. The journal covers a broad spectrum of work, including but not limited to: Applications of stem cell technology for regenerative medicine, Development of new animal models of human diseases, Tissue bioengineering, Chemical engineering to improve virus-based gene delivery, Nanotechnology for drug delivery, Design and synthesis of artificial extracellular matrices, Development of a true microsurgical operating environment, Refining data analysis algorithms to improve in vivo imaging technology, Results of Phase 1 clinical trials, Reverse translational ("bedside to bench") research. TVST seeks manuscripts from scientists and clinicians with diverse backgrounds ranging from basic chemistry to ophthalmic surgery that will advance or change the way we understand and/or treat vision-threatening diseases. TVST encourages the use of color, multimedia, hyperlinks, program code and other digital enhancements.
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