AUTHOR=Feng Chun , Jiang Zhong-Li , Sun Ming-Xue , Lin Feng 

TITLE=Simplified Post-stroke Functioning Assessment Based on ICF via Dichotomous Mokken Scale Analysis and Rasch Modeling

JOURNAL=Frontiers in Neurology

VOLUME=Volume 13 - 2022

YEAR=2022

URL=https://www.frontiersin.org/journals/neurology/articles/10.3389/fneur.2022.827247

DOI=10.3389/fneur.2022.827247

ISSN=1664-2295

ABSTRACT=Purpose: This study aims to accomplish two tasks for International Classification of Functioning, Disability and Health (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.
Methods: 130 inpatients with stroke via 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. 
Results: 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 is available involving the original ordinal scores to Rasch-transformed scores from 0-100 (interval scale). Total scores exhibited a high correlation with the personal abilities estimated by the Rasch model. The personal ability also demonstrates 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.
Conclusion: Based on simple “abled or disabled” judgement tasks, ICF assessment can be simplified to a questionnaire with answering ‘yes-or-no’ question 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.