Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Multicenter Study
. 2006 Jul 27:6:36.
doi: 10.1186/1471-2288-6-36.

Identification of candidate categories of the International Classification of Functioning Disability and Health (ICF) for a Generic ICF Core Set based on regression modelling

Alarcos Cieza  1 , Szilvia Geyh, Somnath Chatterji, Nenad Kostanjsek, Bedirhan T Ustün, Gerold Stucki
Affiliations
Multicenter Study

Identification of candidate categories of the International Classification of Functioning Disability and Health (ICF) for a Generic ICF Core Set based on regression modelling

Alarcos Cieza et al. BMC Med Res Methodol. .

Abstract

Background: The International Classification of Functioning, Disability and Health (ICF) is the framework developed by WHO to describe functioning and disability at both the individual and population levels.While condition-specific ICF Core Sets are useful, a Generic ICF Core Set is needed to describe and compare problems in functioning across health conditions.

Methods: The aims of the multi-centre, cross-sectional study presented here were: a) to propose a method to select ICF categories when a large amount of ICF-based data have to be handled, and b) to identify candidate ICF categories for a Generic ICF Core Set by examining their explanatory power in relation to item one of the SF-36. The data were collected from 1039 patients using the ICF checklist, the SF-36 and a Comorbidity Questionnaire.ICF categories to be entered in an initial regression model were selected following systematic steps in accordance with the ICF structure. Based on an initial regression model, additional models were designed by systematically substituting the ICF categories included in it with ICF categories with which they were highly correlated.

Results: Fourteen different regression models were performed. The variance the performed models account for ranged from 22.27% to 24.0%. The ICF category that explained the highest amount of variance in all the models was sensation of pain. In total, thirteen candidate ICF categories for a Generic ICF Core Set were proposed.

Conclusion: The selection strategy based on the ICF structure and the examination of the best possible alternative models does not provide a final answer about which ICF categories must be considered, but leads to a selection of suitable candidates which needs further consideration and comparison with the results of other selection strategies in developing a Generic ICF Core Set.

PubMed Disclaimer

Figures

Figure 1
Figure 1
The current framework of Functioning, Disability and Health (ICF).
Figure 2
Figure 2
Inter-correlated ICF categories in chapter 1 mental functions. Values next to the arrows represent the inter-correlations of the ICF categories. Values between brackets and cursive represent the correlation of the corresponding ICF category with item 1 of the SF-36.
Figure 3
Figure 3
Inter-correlated ICF categories in the component body functions and activities and participation. The discontinued arrows refer to inter-correlations among/between the ICF categories that belong to the same ICF chapter. The continued arrows refer to inter-correlations of ICF categories from different chapters. Values next to the arrows represent the inter-correlations of the ICF categories. Values between brackets and cursive represent the correlation of the corresponding ICF category with item 1 of the SF-36.
See this image and copyright information in PMC

Similar articles

See all similar articles

Cited by

See all "Cited by" articles

References

    1. Cieza A, Geyh S, Chatterji S, Kostanjsek N, Ustun B, Stucki G. ICF linking rules: an update based on lessons learned. J Rehabil Med. 2005;37:212–8. doi: 10.1080/16501970510040263. - DOI - PubMed
    1. Stucki G. International Classification of Functioning, Disability, and Health (ICF): a promising framework and classification for rehabilitation medicine. Am J Phys Med Rehabil. 2005;84:733–40. doi: 10.1097/01.phm.0000179521.70639.83. - DOI - PubMed
    1. Disler PB, Roy CW, Smith BP. Predicting hours of care needed. Arch Phys Med Rehabil. 1993;74:139–43. - PubMed
    1. Granger CV, Cotter AC, Hamilton BB, Fiedler RC. Functional assessment scales: a study of persons after stroke. Arch Phys Med Rehabil. 1993;74:133–8. - PubMed
    1. Feigenson JS, McDowell FH, Meese P, McCarthy ML, Greenberg SD. Factors influencing outcome and length of stay in a stroke rehabilitation unit. Part 1. Analysis of 248 unscreened patients – medical and functional prognostic indicators. Stroke. 1977;8:651–6. - PubMed

Publication types

MeSH terms