Pickles Tim, Horton Mike, Christensen Karl Bang, Phillips Rhiannon, Gillespie David, Mo Neil, Davies Janice, Campbell Susan, Choy Ernest
Centre for Trials Research, Cardiff University, Cardiff, UK.
Psychometric Laboratory for Health Sciences, University of Leeds, Leeds, UK.
Rheumatology (Oxford). 2025 Sep 1;64(9):4902-4912. doi: 10.1093/rheumatology/keaf189.
Disease activity (DA) monitoring is a standard of care in RA. There is demand for achieving this through patient-reported outcome measures (PROMs). The aim of this study was to determine which items could be used to measure the construct of RA DA, by analysing legacy PROMs, using Rasch measurement theory (RMT) analyses.
Questionnaires including 10 legacy PROMs were sent to people with RA to create original and validation datasets. Items were grouped according to OMERACT domains and analysed using principal component analysis. Based on separate domain RMT analyses of the original dataset, domain-level testlets were assessed to determine which items measure the construct of RA DA. The result was then replicated in confirmatory factor analyses bifactor models and RMT analyses of the validation dataset. Psychometric properties of legacy PROMs were also assessed in the original dataset.
The total sample size was 691 (original: 398, validation: 293). The Patient global domain was split into General health and Disease activity domains under RMT. General health and Fatigue domain items measure a separate construct to the construct of RA DA. A set of 12 Pain, Disease activity, Tenderness and swelling, Physical functioning and Stiffness domain items can be used to measure the construct of RA DA. No legacy PROMs fully fit the Rasch measurement model.
General health and Disease activity domain items are not interchangeable. Twelve items form an item pool that can be used to measure the construct of RA DA. Legacy PROMs should not be recommended for use.
疾病活动度(DA)监测是类风湿关节炎(RA)的一项标准治疗措施。人们希望通过患者报告结局指标(PROMs)来实现这一目标。本研究的目的是通过分析传统PROMs,运用拉施测量理论(RMT)分析,确定哪些条目可用于测量RA的DA结构。
向RA患者发送包含10个传统PROMs的问卷,以创建原始数据集和验证数据集。条目根据OMERACT领域进行分组,并使用主成分分析进行分析。基于原始数据集的单独领域RMT分析,对领域级测试集进行评估,以确定哪些条目测量RA的DA结构。然后在验证数据集的验证性因子分析双因素模型和RMT分析中重复该结果。还在原始数据集中评估了传统PROMs的心理测量特性。
总样本量为691(原始数据集:398,验证数据集:293)。在RMT下,患者整体领域被分为一般健康和疾病活动领域。一般健康和疲劳领域的条目测量的是与RA的DA结构不同的结构。一组12个疼痛、疾病活动、压痛和肿胀、身体功能和僵硬领域的条目可用于测量RA的DA结构。没有传统PROMs完全符合拉施测量模型。
一般健康和疾病活动领域条目不可互换。12个条目构成一个条目池,可用于测量RA的DA结构。不建议使用传统PROMs。