SUNY College of Optometry, New York, NY, USA.
Zanvyl Krieger School of Arts and Sciences, Johns Hopkins University, Baltimore, MD, USA.
Transl Vis Sci Technol. 2023 Oct 3;12(10):14. doi: 10.1167/tvst.12.10.14.
Visual functioning questionnaires are commonly used as patient-reported outcome measures to estimate visual ability. Performance measures, on the other hand, provide a direct measure of visual ability. For individuals with ultra-low vision (ULV; visual acuity (VA) <20/1600), the ultra-low vision visual functioning questionnaire (ULV-VFQ) and the Wilmer VRI-a virtual reality-based performance test-estimate self-reported and actual visual ability, respectively, for activities of daily living. But how well do self-reports from ULV-VFQ predict actual task performance in the Wilmer VRI?
We administered a subset of 10 matching items from the ULV-VFQ and Wilmer VRI to 27 individuals with ULV. We estimated item measures (task difficulty) and person measures (visual ability) using Rasch analysis for ULV-VFQ and using latent variable signal detection theory for the Wilmer VRI. We then used regression analysis to compare person and item measure estimates from self-reports and task performance.
Item and person measures were modestly correlated between the two instruments, with r2 = 0.47 (P = 0.02) and r2 = 0.36 (P = 0.001), demonstrating that self-reports are an imperfect predictor of task difficulty and performance.
While self-reports impose a lower demand for equipment and personnel, actual task performance should be measured to assess visual ability in ULV.
Visual performance measures should be the preferred outcome measure in clinical trials recruiting individuals with ULV. Virtual reality can be used to standardize tasks.
视觉功能问卷通常被用作患者报告的结果测量指标，以评估视觉能力。另一方面，绩效测量提供了对视觉能力的直接测量。对于超低视力（ULV；视力（VA）<20/1600）患者，超低视力视觉功能问卷（ULV-VFQ）和威默虚拟现实性能测试（基于虚拟现实的性能测试）分别估计日常生活活动的自我报告和实际视觉能力。但是，ULV-VFQ 的自我报告在多大程度上预测威默 VR1 中的实际任务表现？
我们对 27 名 ULV 患者进行了 ULV-VFQ 和威默 VR1 的 10 项匹配项目的子样本测试。我们使用 Rasch 分析估计 ULV-VFQ 的项目测量值（任务难度）和个人测量值（视觉能力），并使用潜在变量信号检测理论估计威默 VR1 的个人测量值和项目测量值。然后，我们使用回归分析比较自我报告和任务表现的个人和项目测量估计值。
两个仪器之间的项目和个人测量值呈中度相关，r2=0.47（P=0.02）和 r2=0.36（P=0.001），表明自我报告是任务难度和表现的不完全预测指标。
虽然自我报告对设备和人员的要求较低，但应测量实际任务表现以评估 ULV 中的视觉能力。
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