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牛津膝关节评分的 Rasch 分析。

Rasch analysis of the Oxford Knee Score.

机构信息

Department of Pharmacy, Faculty of Science, National University of Singapore, Singapore.

出版信息

Osteoarthritis Cartilage. 2009 Sep;17(9):1163-9. doi: 10.1016/j.joca.2009.04.004. Epub 2009 Apr 17.

Abstract

OBJECTIVES

Use Rasch analysis to examine the psychometric properties of the Oxford Knee Score (OKS), particularly in respect to unidimensionality, and consistency of item functioning before and after total knee replacement and across age and gender groups.

METHODS

The 12-item OKS was administered to 1,712 patients before the surgery, and 1,322 and 855 patients were administered the instrument repeatedly at the 6-month and 2-year postoperative assessments, respectively. Data were fitted to the Rasch partial credit model with the Winsteps program. Differential item functioning (DIF) analysis was performed, and fit statistics in combination with principal components analysis of the residuals were used to test the unidimensionality assumption. The fit criteria were set at 1.5 and 2.0 for infit mean-square (MNSQ) and outfit MNSQ, respectively.

RESULTS

At baseline, item difficulty ranged from -1.86 to 1.78 logits, and person measures had a mean+/-SD of -0.01+/-0.89. Misfit items were "limping" and "night pain" in preoperative data and "limping" and "kneeling" in postoperative data. After removing items limping and kneeling and recoding item night pain, none of the items misfit at each of the time points and there was stability of item difficulty ordering across time. In the modified OKS set, five items displayed DIF by age and three by gender.

CONCLUSION

The original OKS had adequate targeting and good coverage of knee severity levels in preoperative patients. The modified 10-item OKS data fit the Rasch model and had stable item difficulty ordering over time.

摘要

目的

使用 Rasch 分析检验牛津膝关节评分(OKS)的心理计量学特性,特别是在单维性、全膝关节置换前后项目功能的一致性以及年龄和性别组方面。

方法

12 项 OKS 在手术前对 1712 名患者进行了评估,分别在术后 6 个月和 2 年对 1322 名和 855 名患者重复进行了评估。数据采用 Winsteps 程序拟合 Rasch 部分信用模型。进行了差异项目功能(DIF)分析,并使用拟合统计数据和残差主成分分析来检验单维性假设。拟合标准分别设定为 1.5 和 2.0,用于 infit 均方根(MNSQ)和 outfit MNSQ。

结果

基线时,项目难度范围从-1.86 到 1.78 对数,个人指标的平均值为-0.01+/-0.89。术前数据中不拟合的项目为“跛行”和“夜间疼痛”,术后数据中为“跛行”和“下跪”。在移除项目“跛行”和“下跪”并重新编码项目“夜间疼痛”后,每个时间点的项目都没有不拟合,并且项目难度的排序在整个时间内保持稳定。在修改后的 OKS 中,有 5 个项目按年龄存在 DIF,3 个项目按性别存在 DIF。

结论

原始的 OKS 在术前患者中有足够的针对性和对膝关节严重程度的良好覆盖。修改后的 10 项 OKS 数据符合 Rasch 模型,并且随着时间的推移,项目难度的排序稳定。

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