A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä
Clinical Functioning Information Tool – Coronavirus Disease 2019 (CLINFIT COVID-19): Psychometric Evaluation and Development of an Interval-Scaled Functioning Score Across the Care Continuum
Tekijät: Mukaino, Masahiko; Aguiar Branco, Catarina; Alghwiri, Alia; Amato, Sonia; Kontaxakis, Antonios; Berteanu, Mihai; Boluk Senlikci, Huma; Borman, Pinar; Diouane, Salmane; Fourtassi, Maryam; Gimigliano, Francesca; Hajjioui, Abderrazak; Hu, Xiaolei; Kambou, Sinforian; Lin, Cho-, I; Mabrouk, Mohamed I.; Mitsiokapa, Evanthia; Nica, Remus Iulian; Rapidi, Christina-Anastasia; Serlenga, Gabriella; Silvestri, Arianna; Tarvonen-Schröder, Sinikka; Ursescu, Clara; Viinanen, Arja; Vorniotakis, Panagiotis; Selb, Melissa; Ambrose, Anne Felicia; Dhakal, Raju; Dy, Rochelle; Engkasan, Julia; Giraldo-Prieto, Mario; Khan, Fary; Kiekens, Carlotte; Li, Jianan; Melvin, John; Oral, Aydan; Stucki, Gerold
Kustantaja: Medical Journals Sweden
Kustannuspaikka: UPPSALA
Julkaisuvuosi: 2025
Journal: Journal of Rehabilitation Medicine
Tietokannassa oleva lehden nimi: JOURNAL OF REHABILITATION MEDICINE
Lehden akronyymi: J REHABIL MED
Artikkelin numero: jrm43227
Vuosikerta: 57
Sivujen määrä: 13
ISSN: 1650-1977
eISSN: 1651-2081
DOI: https://doi.org/10.2340/jrm.v57.43227
Verkko-osoite: https://doi.org/10.2340/jrm.v57.43227
Rinnakkaistallenteen osoite: https://research.utu.fi/converis/portal/detail/Publication/499846819
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 chi(2) 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.
Ladattava julkaisu This is an electronic reprint of the original article. |  |
