This paper is in the following e-collection/theme issue:

mHealth for Data Collection and Research (953) mHealth for Rehabilitation (262) Spinal Cord Injury Rehabilitation (62)

Published on in Vol 8, No 11 (2020): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/20723, first published .
Using a Mobile App-Based International Classification of Functioning, Disability, and Health Set to Assess the Functioning of Spinal Cord Injury Patients: Rasch Analysis

Using a Mobile App-Based International Classification of Functioning, Disability, and Health Set to Assess the Functioning of Spinal Cord Injury Patients: Rasch Analysis

Using a Mobile App-Based International Classification of Functioning, Disability, and Health Set to Assess the Functioning of Spinal Cord Injury Patients: Rasch Analysis

Authors of this article:

Mengmeng Jia1 Author Orcid Image ;   Jie Tang2 Author Orcid Image ;   Sumei Xie3 Author Orcid Image ;   Xiaokuo He4 Author Orcid Image ;   Yingmin Wang5 Author Orcid Image ;   Ting Liu1 Author Orcid Image ;   Tiebin Yan5 Author Orcid Image ;   Kun Li1 Author Orcid Image
Article Authors Cited by (3) Tweetations (2) Metrics

Journals

  1. Liu T, Xie S, Wang Y, Tang J, He X, Yan T, Li K. Effects of App-Based Transitional Care on the Self-Efficacy and Quality of Life of Patients With Spinal Cord Injury in China: Randomized Controlled Trial. JMIR mHealth and uHealth 2021;9(4):e22960 View
  2. Feng C, Jiang Z, Sun M, Lin F. Simplified Post-stroke Functioning Assessment Based on ICF via Dichotomous Mokken Scale Analysis and Rasch Modeling. Frontiers in Neurology 2022;13 View
  3. Jiang Y, Zhang D, Jiang Z, Tao X, Dai M, Lin F. ICF-Based simple scale for children with cerebral palsy: Application of Mokken scale analysis and Rasch modeling. Developmental Neurorehabilitation 2023;26(2):71 View