Applying Rasch analysis to transforming scores on the activities and participation component of the ICF Rehabilitation Set: A multicenter study
10.3760/cma.j.issn.0254-1424.2020.08.003
- VernacularTitle:Rasch模型用于ICF康复组合中活动和参与成分分值转换的多中心研究
- Author:
Yan GAO
1
;
Tiebin YAN
;
Liming YOU
;
Kun LI
;
Lifang ZHANG
Author Information
1. 深圳市第二人民医院，深圳 518035；中山大学护理学院，广州 510089
- From:
Chinese Journal of Physical Medicine and Rehabilitation
2020;42(8):685-689
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the suitability of using Rasch analysis to transform scores on the Activities and Participation component of the ICF Rehabilitation Set.Methods:Between January and May 2017, five hundred and fifteen post-acute rehabilitation patients were recruited in 13 research centers through quota sampling. Specially-trained health professionals used the Activities and Participation component of the ICF Rehabilitation Set to collect data. Rasch analysis was performed using RUMM 2030 software to test for goodness of fit, threshold estimates, and local dependency.Results:Of the five hundred and fifteen participants, 279 (54.2%) had a neurological condition, 119 (23.1%) a cardiopulmonary condition, 49 (10.0%) a musculoskeletal condition, and 68 (13.2%) some other condition. After Rasch analysis, the Activities and Participant component of the ICF Rehabilitation Set was divided into two domains: Activities, and Participation with 9 categories under activities and five under participation.Conclusions:After rescoring the response options, deleting four poorly-fitting categories and generating one testlet, it was found that the activities and participation component the ICF Rehabilitation Set can be divided into two outcome measures to be applied in clinical practice.
