Goldstein Judith E, Fenwick Eva, Finger Robert P, Gothwal Vijaya, Jackson Mary Lou, Lamoureux Ecosse, Rees Gwyneth, Massof Robert
Wilmer Eye Institute, Johns Hopkins University, Baltimore, MD, USA.
Population Health, Singapore Eye Research Institute, Singapore, Singapore.
Transl Vis Sci Technol. 2018 Dec 28;7(6):38. doi: 10.1167/tvst.7.6.38. eCollection 2018 Nov.
Provide item calibrations estimated for the Impact of Vision Impairment (IVI) questionnaire by pooling data from several studies of people with vision impairment (VI) representing a variety of countries and causes of VI.
Eight data sets from six principal investigators representing responses to IVI items from 2867 VI patients were pooled for analysis. Eligible patients were 18 years or older and from Australia, India, and the United States. Rasch analysis, using the Andrich Rating Scale Model (Winsteps version 3.65), was performed on preintervention IVI responses to estimate item and person measures, reliability coefficients, and response category thresholds. Differential item functioning (DIF) analysis and analysis of variance (ANOVA) were used to examine the effects different data sets and covariates on item estimates.
Patient age range was 18 to 103 years (median 62 years); 55% were male. Visual acuity ranged from 20/20 to no light perception and primary diagnosis was macular degeneration in 29% of patients. Item measure estimates showed good separation reliability ( = 0.99). DIF magnitude did not preclude use of all IVI-28 data. ANOVA showed VA ( < 0.001) and gender ( < 0.002) were predictors of visual ability.
Analysis from pooled data support the provision of calibrated IVI item measures for researchers and clinicians to use, thus better enabling direct comparisons of patients with VI.
Validity testing of the IVI show that we can combine disparate data sets of patient responses to calibrate item measures and response category thresholds, and provide to others for use in comparing patients across clinical trials and on an individual basis.
通过汇总来自代表不同国家和视力障碍(VI)病因的多项视力障碍影响(IVI)问卷调查研究的数据,提供IVI问卷的项目校准估计值。
汇总来自六位主要研究者的八个数据集,这些数据集代表了2867名VI患者对IVI项目的回答,用于分析。符合条件的患者年龄在18岁及以上,来自澳大利亚、印度和美国。使用安德里奇评分量表模型(Winsteps版本3.65)对干预前的IVI回答进行拉施分析,以估计项目和个体测量值、信度系数以及反应类别阈值。使用项目功能差异(DIF)分析和方差分析(ANOVA)来检验不同数据集和协变量对项目估计值的影响。
患者年龄范围为18至103岁(中位数62岁);55%为男性。视力范围从20/20到无光感,29%的患者主要诊断为黄斑变性。项目测量估计值显示出良好的区分信度( = 0.99)。DIF大小并不妨碍使用所有IVI - 28数据。方差分析表明视力( < 0.001)和性别( < 0.002)是视觉能力的预测因素。
汇总数据分析支持为研究人员和临床医生提供校准后的IVI项目测量值,从而更好地实现对VI患者的直接比较。
IVI的效度测试表明,我们可以合并不同的患者回答数据集,以校准项目测量值和反应类别阈值,并提供给其他人用于跨临床试验和个体层面比较患者。