Singapore Eye Research Institute and Singapore National Eye Centre, Singapore.
Duke-NUS Medical School, National University of Singapore, Singapore.
Transl Vis Sci Technol. 2022 Jun 1;11(6):9. doi: 10.1167/tvst.11.6.9.
To evaluate the psychometric properties of glaucoma-specific quality of life (QoL) item banks (GlauCAT) and assess their performance using computerized adaptive testing (CAT) simulations.
In this cross-sectional study, 293 participants with glaucoma (mean age ± SD, 70.7 ± 13.2 years; 45% female) answered 342 items in 12 QoL item banks (IBs): Activity Limitation (AL); Driving (DV); Convenience (CV); Economic (EC); Emotional (EM); General Symptoms (GS); Health Concerns (HC); Lighting (LT); Mobility (MB); Ocular Surface Symptoms (OS); Social (SC); and Visual Symptoms (VS). These IBs were assessed using Rasch analysis, and CAT simulations with 1000 simulated respondents were utilized to determine the average number of items to be administered to achieve moderate and high precision levels.
The AL, DV, EM, HC, LT, MB, EC, OS, SC, and VS IBs required relatively minor amendments to achieve satisfactory psychometric fit. To resolve multidimensionality, we split CV into Treatment Convenience (TCV) and General Convenience (GCV). Due to poor measurement precision, the GS IB was not pursued further. This resulted in 12 total IBs. In CAT simulations, an average of 3.7 and 7.3 items per IB were required to attain measurement at moderate and high precision, respectively.
Following rigorous psychometric assessment, we developed 12 valid glaucoma-specific QoL domains that can obtain highly precise person measure estimates using a small number of items.
GlauCAT will enable researchers and clinicians to quickly and comprehensively assess the impact of glaucoma and its associated interventions across a range of QoL domains.
评估青光眼特定生活质量（QoL）项目库（GlauCAT）的心理计量学特性，并使用计算机自适应测试（CAT）模拟评估其性能。
在这项横断面研究中，293 名青光眼患者（平均年龄±标准差，70.7±13.2 岁；45%为女性）回答了 12 个 QoL 项目库（IB）中的 342 个项目：活动受限（AL）；驾驶（DV）；便利（CV）；经济（EC）；情感（EM）；一般症状（GS）；健康担忧（HC）；照明（LT）；行动（MB）；眼表面症状（OS）；社会（SC）；和视觉症状（VS）。这些 IB 使用 Rasch 分析进行评估，并使用 1000 名模拟受访者进行 CAT 模拟，以确定达到中等和高度精度水平所需的平均项目数。
AL、DV、EM、HC、LT、MB、EC、OS、SC 和 VS IB 需要进行相对较小的修改，以达到令人满意的心理计量学拟合。为了解决多维性问题，我们将 CV 分为治疗便利（TCV）和一般便利（GCV）。由于测量精度较差，GS IB 不再进一步研究。这导致了 12 个总 IB。在 CAT 模拟中，平均每个 IB 需要 3.7 和 7.3 个项目，分别达到中等和高度精度的测量。
经过严格的心理计量学评估，我们开发了 12 个有效的青光眼特异性 QoL 领域，这些领域可以使用少量项目获得高度精确的个体测量估计。
邓舒夏
