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Rasch analysis of the Oxford Knee Score.

机译:牛津膝盖得分的拉希分析。

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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.
机译:目的:使用Rasch分析来检查牛津膝关节评分(OKS)的心理计量学特性,尤其是在单膝关节置换和全膝关节置换前后以及年龄和性别组中项目功能的一致性方面。方法:在手术前的6个月和2年评估中,分别对1,712例患者施行了12个项目的OKS,分别对1,322例和855例患者进行了仪器检查。使用Winsteps程序将数据拟合到Rasch部分信用模型。进行了微分项功能(DIF)分析,并使用拟合统计量与残差的主成分分析相结合来检验一维假设。拟合均方(MNSQ)和服装MNSQ的拟合标准分别设置为1.5和2.0。结果:在基线时,项目难度范围为-1.86至1.78 logits,人员测量的平均值+/- SD为-0.01 +/- 0.89。不合适的项目是术前数据为“ lim行”和“夜间疼痛”,术后数据为“ lim行”和“跪着”。消除行和跪下的物品并记录物品夜间疼痛后,在每个时间点都没有物品失配,并且物品难度在整个时间顺序上都保持稳定。在修改的OKS集中,五个项目按年龄显示DIF,三个按性别显示。结论:最初的OKS具有足够的针对性,并在术前患者的膝关节严重程度得到了很好的覆盖。修改后的10项OKS数据符合Rasch模型,并且随着时间的流逝,项目难点稳定。

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