Queiroga Fabiana, Epstein Jonathan, Erpelding Marie-Line, Spitz Elisabeth, Maillefert Jean-Francis, Fautrel Bruno, Callahan Leigh F, Hunter David J, Guillemin Francis
CIC Clinical epidemiology, CHRU Nancy, Inserm, Université de Lorraine, Nancy, France.
CIC Clinical epidemiology, CHRU Nancy, Inserm, Université de Lorraine, Nancy, France; Inserm, CHRU Nancy, Université de Lorraine, Clinical Epidemiology, Nancy, France.
J Clin Epidemiol. 2024 Oct;174:111488. doi: 10.1016/j.jclinepi.2024.111488. Epub 2024 Jul 30.
The recent Flare-OA questionnaire measuring flare in knee and hip osteoarthritis (OA) (19 items in 5 domains, numerical rating scale) showed good psychometric properties along with classical test theory. This study aimed to determine its scaling properties by Rasch analysis and to present evidence for a refined scalable version.
The participants were 398 subjects (mean age 64 years [standard deviation = 8.1], 70.4% women) recruited from Australia, France, and the United States, with clinically and radiologically symptomatic knee or hip OA, who completed an online survey. The sample was split into derivation and validation subsamples, stratified by country and joint. Rasch analysis examined differential item functioning (DIF) for sex, age, country, and joint. A confirmatory factor analysis and an analysis of convergent validity were performed to document the psychometric properties of the short version.
To fit the Rasch model, we reordered thresholds of answering modalities when necessary. Two items were removed. A local dependency between 2 items was solved by combining items modalities into a super-item. A uniform DIF (expected and nonremoved) was identified for one item that was split by joint, and a nonuniform DIF for one item for age and country (removed). The person-item threshold distribution showed a well-focused scale; the confirmatory factor analysis and the analysis of convergent validity showed good fit indicators for the short version.
The Rasch analysis was helpful in guiding the decision to refine the measurement instrument. After analysis, the 16-item Flare-OA self-report questionnaire is available for use in clinical research.
最近用于测量膝关节和髋关节骨关节炎(OA)发作情况的Flare - OA问卷(5个领域共19项,采用数字评定量表)在经典测试理论下显示出良好的心理测量特性。本研究旨在通过拉施分析确定其量表特性,并为改进后的可扩展版本提供证据。
参与者为398名受试者(平均年龄64岁[标准差 = 8.1],70.4%为女性),从澳大利亚、法国和美国招募,患有临床和放射学症状的膝关节或髋关节OA,他们完成了一项在线调查。样本按国家和关节分层分为推导和验证子样本。拉施分析检查了性别、年龄、国家和关节的项目功能差异(DIF)。进行了验证性因素分析和收敛效度分析,以记录简短版本的心理测量特性。
为了拟合拉施模型,我们在必要时重新排列了回答方式的阈值。删除了两个项目。通过将项目方式合并为一个超级项目解决了两个项目之间的局部依赖性。对于一个按关节划分的项目确定了一致的DIF(预期且未删除),对于一个年龄和国家的项目确定了不一致的DIF(已删除)。人 - 项目阈值分布显示出一个聚焦良好的量表;验证性因素分析和收敛效度分析显示简短版本具有良好的拟合指标。
拉施分析有助于指导改进测量工具的决策。分析后,16项的Flare - OA自报告问卷可用于临床研究。