Assessing Quality of Vision in Cataract Surgery: A Randomized Trial of Digital vs. Paper-Based Questionnaires

拉什模型 医学 白内障手术 可靠性(半导体) 随机对照试验 白内障 物理疗法 验光服务 外科 医学物理学 眼科 心理学 发展心理学 功率(物理) 物理 量子力学
作者
Adi Porat Rein,Mats Lundström,Mor M. Dickman,Matan Rosen,Yaron Finkelman,Anastasia Semionov,David Zadok,Adi Shacham Abulafia
出处
期刊:Journal of Cataract and Refractive Surgery [Lippincott Williams & Wilkins]
标识
DOI:10.1097/j.jcrs.0000000000001642
摘要

Purpose: To introduce a newly developed digital platform and compare its reliability and agreement with paper-based questionnaires for assessing quality of vision before and after cataract surgery. Setting: University-affiliated ophthalmology department and private clinic. Design: Prospective, randomized trial with parallel design of 1:1 allocation ratio without masking. Methods: Between 11/2021 and 6/2023, patients from a preoperative cataract clinic, aged ≥21 years, with cataracts in both eyes and internet access were randomly assigned by “ALEA” software to complete Catquest-9SF and Quality-of-Vision (QoV) questionnaires before surgery and after second eye surgery via paper or a newly developed digital European Registry of Quality Outcomes in Cataract and Refractive Surgery (EUREQUO) platform. Statistical analyses evaluated agreement between methods, and validation was by Rasch analysis. Results: Half (183/364, 50.3%) of the enrolled patients were allocated to digital questionnaires. After exclusion due to technical issues, missing questions, and withdrawal, 307/364 patients remained, of whom 159 (51.8%) filled in digital questionnaires. Half of all patients (n=154) underwent sequential surgeries on both eyes after a minimum one-month interval. Seventy-two (72/154, 46.8%) completed postoperative questionnaires. Comparative analysis found no significant differences between paper and digital methods. Catquest-9SF and QoV questionnaires demonstrated good precision and reliability (Rasch analysis). Postoperative vision improved at an average of 2.82 logits. Conclusion: The newly developed digital EUREQUO platform for patient assessment of quality of vision before and after cataract surgery with the Catquest-9SF and QoV questionnaires, offers a reliable alternative to traditional paper-based questionnaires, enhancing convenience for patients and providers.

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