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使用拉施分析验证用于识别膝关节症状的问卷(QuIKS)

Validation of the Questionnaire to Identify Knee Symptoms (QuIKS) using Rasch analysis.

作者信息

Hamilton Clayon B, Maly Monica R, Giffin J Robert, Clark Jessica M, Speechley Mark, Petrella Robert J, Chesworth Bert M

机构信息

Graduate Program in Health and Rehabilitation Sciences, Western University, London, ON, Canada.

Institute for Applied Health Sciences, McMaster University, Hamilton, ON, Canada.

出版信息

Health Qual Life Outcomes. 2015 Sep 29;13:157. doi: 10.1186/s12955-015-0358-6.

Abstract

BACKGROUND

The Questionnaire to Identify Knee Symptoms (QuIKS) was recently developed to promote activity by screening for experiences related to early symptoms in people with emergent chronic knee pain problems, such as osteoarthritis (OA) - like knee pain. The main purpose of the current study was to evaluate measurement properties of the QuIKS using Rasch analysis in a sample of people with knee symptoms consistent with symptomatic knee OA.

METHOD

This study used cross-sectional data. The sample was 200 subjects along the following knee health continuum: pain-free healthy knees (n = 55) from a university community, knee pain with no knee OA diagnosis (n = 111) from a university-affiliated medical clinic, and patients with surgeon-diagnosed symptomatic knee OA awaiting high tibial osteotomy (n = 34) from a sports medicine surgical clinic. The 13-item QuIKS was evaluated for its factor structure, item- and person-fit, item's category response structure, differential item functioning by sex and obesity status, local item dependency, unidimensionality, and test precision. Subsequently, the QuIKS underwent known-groups analysis and convergent validity with the Knee injury and Osteoarthritis Outcome Score (KOOS).

RESULTS

In the QuIKS, each item's category response structure was modified. No differential item functioning was observed. Local item dependency informed the formation of four testlets. This refined QuIKS obtained summary fit to the Rasch measurement model, unidimensionality, reliability (person separation index = 0.82), and interval-level scoring. Subsequently, the Rasch-validated QuIKS (QuIKS-R) demonstrated excellent known-groups validity and good convergent validity with the KOOS (Spearman's rho = 0.45 to 0.77).

CONCLUSIONS

The QuIKS-R provides interval-level quantification of knee symptoms-related experiences in people with knee symptoms consistent with symptomatic knee OA. Its scores might be useful for clinicians for promoting activity in individuals with early symptoms consistent with symptomatic knee OA.

摘要

背景

为了通过筛查与诸如骨关节炎(OA)样膝关节疼痛等慢性膝关节疼痛问题早期症状相关的经历来促进活动,最近开发了膝关节症状识别问卷(QuIKS)。本研究的主要目的是在有与症状性膝关节OA一致的膝关节症状的人群样本中,使用拉施分析评估QuIKS的测量属性。

方法

本研究使用横断面数据。样本包括200名处于以下膝关节健康连续体状态的受试者:来自大学社区的无痛健康膝关节(n = 55)、来自大学附属医院门诊的无膝关节OA诊断的膝关节疼痛患者(n = 111)以及来自运动医学外科门诊等待高位胫骨截骨术的经外科医生诊断为症状性膝关节OA的患者(n = 34)。对包含13个条目的QuIKS进行了因子结构、条目与个体拟合、条目的类别反应结构、按性别和肥胖状态的差异条目功能、局部条目依赖性、单维度性和测试精度的评估。随后,QuIKS进行了已知组分析以及与膝关节损伤和骨关节炎结局评分(KOOS)的收敛效度分析。

结果

在QuIKS中,对每个条目的类别反应结构进行了修改。未观察到差异条目功能。局部条目依赖性为四个测试集的形成提供了依据。这种经过改进的QuIKS总体上符合拉施测量模型、具有单维度性、可靠性(个体分离指数 = 0.82)以及区间水平评分。随后,经拉施验证的QuIKS(QuIKS - R)显示出优异的已知组效度以及与KOOS良好的收敛效度(斯皮尔曼相关系数 = 0.45至0.77)。

结论

QuIKS - R为有与症状性膝关节OA一致的膝关节症状的人群中与膝关节症状相关的经历提供了区间水平的量化。其分数可能对临床医生促进有与症状性膝关节OA一致的早期症状的个体的活动有用。

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