Article

PURPOSE: To examine the construct validity of the International Classification of
Functioning Disability and Health (ICF) framework using multidimensional item
response modelling and data collected in different regions from patients with
five chronic health conditions. We assume that the ICF components should
represent statistically called dimensions that are distinct although related.
METHOD: Retrospective validation study using the ICF Core Sets from a convenience
sample of patients in an international multicentre, cross-sectional database
obtained in different rehabilitation centres. Health professionals working in 89
rehabilitation centres in 32 countries collected data from 3227 rehabilitation
patients using the respective ICF Core Sets. Patients included had one of the
following health conditions: low back pain (LBP), rheumatoid arthritis (RA),
osteoarthritis (OA), obesity (OB) or post-stroke. Data from questions regarding a
patient's functioning based on body structures and functions, activities,
participation along the ICF Core Sets were analysed with multidimensional item
response modelling. RESULTS: The multidimensional models fit the data better than
a model with few or no specifications regarding an underlying framework. For
example, a model separating four dimensions 'body structures', 'body functions',
'activities' and 'participation' fits the data better than a model
differentiating between 'body functions and structures' and 'activities and
participation'. The ICF framework with its components represents underlying
statistically called dimensions. CONCLUSION: The results of this study support
the construct validity of the functioning part of the ICF. The distinct
dimensions may facilitate the alignment of ICF components with other measures
used clinically and in research. Based on our results it is justifiable to
construct instruments integrating ICF categories within components.

Langue : ANGLAIS