Feng Chun, Jiang Zhong-Li, Sun Ming-Xue, Lin Feng
The First Rehabilitation Hospital of Shanghai, Rehabilitation Hospital Affiliated to Tongji University, Shanghai, China.
Sir Run Run Hospital, Nanjing Medical University, Nanjing, China.
Front Neurol. 2022 Apr 14;13:827247. doi: 10.3389/fneur.2022.827247. eCollection 2022.
This study aims to accomplish two tasks for (ICF) application among persons with stroke: (1) to make an ICF tool for measuring personal abilities with simplified assessment operations; (2) to quantitatively evaluate ICF categories for being functioning rather than being disabled.
A total of 130 inpatients with stroke convenience sampling were evaluated by the extended comprehensive ICF core set for stroke, modified Rankin scale, and modified Barthel index (MBI). This study investigated the responses to 118 stroke-related ICF items (59 items in b and d domains individually) using Mokken scale analysis followed with Rasch modeling.
A Mokken scale with 47 items was extracted from the binary data (1 as no-impairment or mild-impairment and 0 as moderate to complete impairment). A Rasch model with 45 items was derived from the Mokken scale. The conversion chart was available involving the original ordinal scores to Rasch-transformed scores from 0 to 100 (interval scale). Total scores exhibited a high correlation with the personal abilities estimated by the Rasch model. The personal ability also demonstrated a significantly strong correlation with the score of the MBI. Thus, the 45 ICF items were suggested to rate potential functional ability as a single measurement.
Based on simple "functioning or disabled" judgment tasks, ICF assessment can be simplified to a questionnaire with answering "yes-or-no" questions for each category. Functioning level for each person and difficulty of being functioning for each category can be estimated by the Rasch model of this questionnaire.
本研究旨在为中风患者完成两项有关国际功能、残疾和健康分类(ICF)应用的任务:(1)制作一种具有简化评估操作的用于测量个人能力的ICF工具;(2)定量评估ICF中关于功能而非残疾的类目。
采用便利抽样法,对130例中风住院患者进行了扩展的中风综合ICF核心集、改良Rankin量表和改良Barthel指数(MBI)评估。本研究使用 Mokken量表分析和Rasch建模,调查了对118个与中风相关的ICF项目(b和d领域各59项)的反应。
从二元数据(1表示无损伤或轻度损伤,0表示中度至完全损伤)中提取了一个包含47个项目的Mokken量表。从Mokken量表中导出了一个包含45个项目的Rasch模型。提供了转换图表,涉及从原始序数分数到0至100的Rasch转换分数(区间量表)。总分与Rasch模型估计的个人能力高度相关。个人能力也与MBI评分显示出显著的强相关性。因此,建议用这45个ICF项目作为单一测量来评估潜在功能能力。
基于简单的“功能或残疾”判断任务,ICF评估可简化为一份问卷,每个类目只需回答“是或否”问题。通过该问卷的Rasch模型可以估计每个人的功能水平以及每个类目的功能难度。