Cathedral Eye Clinic, 89-91 Academy Street, Belfast BT1 2 LS, Northern Ireland, United Kingdom.
Biomedical Sciences Research Institute, University of Ulster, Coleraine, Northern Ireland, United Kingdom.
PLoS One. 2018 Jun 21;13(6):e0197503. doi: 10.1371/journal.pone.0197503. eCollection 2018.
To highlight the potential shortcomings associated with the current use Rasch analysis for validation of ophthalmic questionnaires, and to present an alternative application of Rasch analysis to derive insights specific to the cohort of patients under investigation.
An alternative application of Rasch analysis was used to investigate the quality of vision (QoV) for a cohort of 481 patients. Patients received multifocal intraocular lenses and completed a QoV questionnaire one and twelve months post-operatively. The rating scale variant of the polytomous Rasch model was utilized. The parameters of the model were estimated using the joint maximum likelihood estimation. Analysis was performed on data at both post-operative assessments, and the outcomes were compared.
The distribution of the location of symptoms altered between assessments with the most annoyed patients completely differing. One month post-operatively, the most prevalent symptom was starbursts compared to glare at twelve months. The visual discomfort from the most annoyed patients is substantially higher at twelve months. The current most advocated approach for validating questionnaires using Rasch analysis found that the questionnaire was "Rasch-valid" one month post-operatively and "Rasch-invalid" twelve months post-operatively.
The proposed alternative application of Rasch analysis to questionnaires can be used as an effective decision support tool at population and individual level. At population level, this new approach enables one to investigate the prevalence of symptoms across different cohorts of patients. At individual level, the new approach enables one to identify patients with poor QoV over time. This study highlights some of the potential shortcomings associated with the current use of Rasch analysis to validate questionnaires.
强调当前使用 Rasch 分析验证眼科问卷时可能存在的缺陷,并介绍 Rasch 分析的另一种应用,以深入了解所研究患者群体的情况。
我们使用 Rasch 分析的另一种应用,对 481 名患者的视力质量(QoV)进行了研究。患者接受了多焦点人工晶状体植入,并在术后一个月和 12 个月时完成了 QoV 问卷。使用多项 Rasch 模型的评分量表变体。使用联合极大似然估计法估计模型的参数。在术后两次评估时都进行了分析,并比较了结果。
症状的位置分布在两次评估中发生了变化,最困扰的患者完全不同。术后一个月,最常见的症状是星爆,而 12 个月时则是眩光。最困扰的患者的视觉不适在 12 个月时明显更高。目前使用 Rasch 分析验证问卷的最流行方法发现,该问卷在术后一个月是“Rasch 有效”,而在术后 12 个月是“Rasch 无效”。
本文提出的将 Rasch 分析应用于问卷的替代方法,可以作为一种有效的群体和个体水平的决策支持工具。在群体水平上,这种新方法可以调查不同患者群体的症状发生率。在个体水平上,这种新方法可以识别出随着时间推移 QoV 较差的患者。本研究强调了当前使用 Rasch 分析验证问卷时可能存在的一些潜在缺陷。