Title Can International Classification of Functioning, Disability and Health (ICF) be used for prediction of work capacity and employment status in multiple sclerosis? /
Authors Valadkevičienė, Daiva ; Jatužis, Dalius ; Žukauskaitė, Irena ; Bilevičiūtė-Ljungar, Indrė
DOI 10.3390/jcm13144195
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Is Part of Journal of clinical medicine.. Basel : MDPI. 2024, vol. 13, iss. 14, art. no. 4195, p. [1-12].. eISSN 2077-0383
Keywords [eng] multiple sclerosis ; employment ; work capacity evaluation ; disability evaluation ; international classification of functioning ; disability and health ; activities of daily living ; humans
Abstract [eng] Background: Multiple sclerosis (MS) affects many body functions and activities, including work capacity and ability to work. An evaluation of work-related parameters is important to understand the barriers to maintaining the job. The aim of this study was to evaluate if a Comprehensive International Classification of Functioning, Disability and Health (ICF) core set for MS can be used to predict work capacity and employment status. Methods: The cohort included 151 participants with MS (99 female/52 male, mean age 49 years) referred for a work capacity evaluation. Results: 71 (47.0%) were employed and a major part (131, 86.7%) had a work capacity between 20 and 40% with no difference between those who were employed and those who were unemployed. The analysis revealed that age and the following categories explained 68.8% of the work capacity: b770 Gait pattern functions; b730 Muscle power functions; b134 Sleep functions; d845 Acquiring, keeping and terminating a job; and b620 Urination functions. The following categories in 79.5% predicted ability to work: b164 Higher-level cognitive functions; d510 Washing oneself; d630; Preparing meals; and d870 Economic self-sufficiency. Conclusions: Here, we show that different functions/activities predicted work capacity in comparison with employment status in MS. Therefore, ICF should be implemented when assessing work ability.
Published Basel : MDPI
Type Journal article
Language English
Publication date 2024
CC license CC license description