Leung Ying-Ying, Thumboo Julian, Yeo Seng-Jin, Wylde Vikki, Tannant Alan
Department of Rheumatology & Immunology, Singapore General Hospital, Singapore.
Department of Orthopedic Surgery, Singapore General Hospital, Singapore.
Osteoarthr Cartil Open. 2022 Nov 17;4(4):100322. doi: 10.1016/j.ocarto.2022.100322. eCollection 2022 Dec.
Interval scale reduce measurement bias compared to ordinal scale. We aimed to evaluate the fit of Western Ontario and McMaster Universities Osteoarthritis Index WOMAC) to the Rasch model and derive the transformation table for interval scale measurement.
Data from osteoarthritis patients listed for knee arthroplasty (KA) pre-operatively, and at 6- and 12- months post-operative was used. WOMAC was calibrated for fit to the Rasch model for monotonicity, homogeneity, local item independence and absence of differential item functioning (DIF) in a randomly selected 900 patients, 300 from each time point; parameter estimates were then imported into the full data set. Responsiveness was reported through Standard Error of Measurement (SEM); Smallest Detectable Difference (SDD), %SDD and effect sizes (ES) between baseline and 6-months. WOMAC was transformed from ordinal to interval values.
1136 patients (mean age 65.9 years, 69.9% female) were included. WOMAC pain (0-20), function (0-68) and total scores (0-96) had adequate fit to Rasch model with good reliability (Person Separation Index: 0.76, 0.80 and 0.79). No item deletion was required. The SEM, SDD, %SDD and ES of WOMAC total were 4.4, 6.9, 10.1, and 1.97. No significant DIF was seen for age, sex, body mass index, type of KA, languages, and education level. WOMAC pain, function and total scores were transformed to interval scales.
WOMAC total, pain and function scales had adequate fit to the Rasch model, providing unidimensional measure with good reliability and responsiveness. Transformation of WOMAC to interval scale measurement is applicable to other studies.
与顺序量表相比,区间量表可减少测量偏差。我们旨在评估西安大略和麦克马斯特大学骨关节炎指数(WOMAC)对拉施模型的拟合度,并推导区间量表测量的转换表。
使用了术前、术后6个月和12个月列出的膝关节置换术(KA)骨关节炎患者的数据。在随机选择的900名患者中,对WOMAC进行校准,以使其符合拉施模型的单调性、同质性、局部项目独立性和无差异项目功能(DIF),每个时间点300名;然后将参数估计值导入完整数据集。通过测量标准误(SEM)、最小可检测差异(SDD)、%SDD以及基线与6个月之间的效应大小(ES)报告反应性。WOMAC从顺序值转换为区间值。
纳入1136例患者(平均年龄65.9岁,69.9%为女性)。WOMAC疼痛(0 - 20)、功能(0 - 68)和总分(0 - 96)对拉施模型的拟合度良好,可靠性高(个人分离指数:0.76、0.80和0.79)。无需删除项目。WOMAC总分的SEM、SDD、%SDD和ES分别为4.4、6.9、10.1和1.97。年龄、性别、体重指数、KA类型、语言和教育水平均未发现显著的DIF。WOMAC疼痛、功能和总分转换为区间量表。
WOMAC总分、疼痛和功能量表对拉施模型的拟合度良好,提供了具有良好可靠性和反应性的单维测量。WOMAC转换为区间量表测量适用于其他研究。