Cieza Alarcos, Hilfiker Roger, Boonen Annelies, Chatterji Somnath, Kostanjsek Nenad, Ustün Bedirhan T, Stucki Gerold
ICF Research Branch, WHO Collaborating Center for the Family of International Classifications, German Institute of Medical Documentation and Information, IHRS, Ludwig-Maximilian University, Munich, Germany.
J Clin Epidemiol. 2009 Sep;62(9):912-21, 921.e1-3. doi: 10.1016/j.jclinepi.2008.04.011. Epub 2009 Jul 9.
To exemplify the construction of interval scales for specified categories of the International Classification of Functioning, Disability and Health (ICF) by integrating items from a variety of patient-oriented instruments.
Psychometric study using data from a convenience sample of 122 patients with rheumatoid arthritis. Patients completed six different patient-oriented instruments. The contents of the instrument items were linked to the ICF. Rasch analyses for ordered-response options were used to examine whether the instrument items addressing the ICF category b130: Energy and drive functions constitute a psychometrically sound interval scale.
Nineteen items were linked to b130: Energy and drive functions. Sixteen of the 19 items fit the Rasch model according to the chi-square (chi(2)) statistic (chi(2)(df=32)=38.25, P=0.21) and the Z-fit statistic (Z(Mean)=0.451, Z(SD)=1.085 and Z(Mean)=-0.223, Z(SD)=1.132 for items and persons, respectively). The Person Separation Index r(beta) was 0.93.
The ICF category interval scales to operationalize single ICF categories can be constructed. The original format of the items included in the interval scales remains unchanged. This study represents a step forward in the operationalization and future implementation of the ICF.
通过整合来自多种以患者为导向的工具中的条目,举例说明为《国际功能、残疾和健康分类》(ICF)特定类别构建区间量表。
使用来自122名类风湿性关节炎患者便利样本的数据进行心理测量学研究。患者完成了六种不同的以患者为导向的工具。工具条目的内容与ICF相关联。使用针对有序反应选项的拉施分析来检验涉及ICF类别b130:能量和驱动功能的工具条目是否构成心理测量学上合理的区间量表。
19个条目与b130:能量和驱动功能相关联。根据卡方(chi(2))统计量(chi(2)(自由度 = 32)=38.25,P = 0.21)和Z拟合统计量(分别对于条目和人员,Z(均值)=0.451,Z(标准差)=1.085以及Z(均值)= -0.223,Z(标准差)=1.132),19个条目中的16个符合拉施模型。人员分离指数r(beta)为0.93。
可以构建用于将单个ICF类别操作化的ICF类别区间量表。区间量表中包含条目的原始格式保持不变。本研究代表了ICF操作化及未来实施方面的一个进步。