Clinical functioning information tool – coronavirus disease 2019 (ClinFIT COVID-19): psychometric evaluation and development of an interval-scaled functioning score across the care continuum
DOI:
https://doi.org/10.2340/jrm.v57.43227Keywords:
COVID-19, functional status, International Classification of Functioning, Disability and Health, Functional outcomes, Rehabilitation, FunctioningAbstract
Objective: to report on the development and global testing of the COVID-19 version of the International Classification of Functioning, Disability and Health-based Clinical Functioning Information Tool called “ClinFIT COVID-19” to collect functioning data of rehabilitation patients across the care continuum to establish an interval-scaled functioning score.
Design: Multicentre, cross-sectional observational study.
Subjects/Patients: Rehabilitation patients in acute, post-acute, and long-term settings.
Methods: Three context-specific versions (13–16 ICF categories) of ClinFIT-COVID-19 were administered to collect information on patient functioning. Rasch analysis examined psychometric properties and generated conversion tables from ordinal raw scores to a 0–100 interval metric.
Results: Twenty-six study centres in 17 countries across the globe collected data from 1,747 patients. Problems in exercise tolerance functions were most frequently reported in the acute and post-acute settings (74.2%; 87.6%), while long-term care patients most frequently reported pain as problematic (71.1%). With a testlets approach and item splitting, all 3 ClinFIT COVID-19 versions satisfied Rasch model expectations (item-trait χ² p > 0.05; PSI 0.742–0.812), making it feasible to develop respective transformation tables.
Conclusion: This study found the psychometric properties of ClinFIT COVID-19 acceptable. Future studies are needed to validate the use of the transformation tables to monitor functioning and evaluate intervention impact.
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Copyright (c) 2025 Masahiko Mukaino, Catarina Aguiar Branco, Alia Alghwiri, Sonia Amato, Antonios Kontaxakis, Mihai Berteanu, Hüma Bölük Şenlikci, Pinar Borman, Salmane Diouane, Maryam Fourtassi, Francesca Gimigliano, Abderrazak Hajjioui, Xiaolei Hu, Sinforian Kambou, Cho-I Lin, Mohamed I. Mabrouk, Evanthia Mitsiokapa, Remus Iulian Nica, Christina-Anastasia Rapidi, Gabriella Serlenga, Arianna Silvestri, Sinikka Tarvonen-Schröder, Clara Ursescu, Arja Viinanen, Panagiotis Vorniotakis, Melissa Selb

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