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Related Experiment Video

Updated: Mar 2, 2026

Measuring the Functional Abilities of Children Aged 3-6 Years Old with Observational Methods and Computer Tools
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Standardized reporting of functioning information on ICF-based common metrics.

Birgit Prodinger1,2,3, Alan Tennant4,5, Gerold Stucki4,5,6

  • 1Department of Health Sciences and Health Policy, Faculty of Humanities and Social Sciences, University of Lucerne, Lucerne, Switzerland - birgit.prodinger@paraplegie.ch.

European Journal of Physical and Rehabilitation Medicine
|May 24, 2017
PubMed
Summary
This summary is machine-generated.

Standardized reporting of functioning information is possible using ICF-based common metrics. This allows for comparable and aggregated data across different clinical tools, enhancing rehabilitation research and practice.

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Area of Science:

  • Rehabilitation medicine
  • Health informatics
  • Measurement science

Background:

  • Clinical data collection tools are used for functioning information in healthcare.
  • Standardized reporting using ICF-based common metrics facilitates documentation in national health systems.
  • Applying the International Classification of Functioning, Disability and Health (ICF) in rehabilitation requires methods for standardized reporting.

Purpose of the Study:

  • To demonstrate how to report functioning information using ICF-based common metrics.
  • To specify requirements for standardized functioning information reporting.
  • To introduce methods for transforming functioning data to ICF-based common metrics.

Main Methods:

  • Standardized reporting requires a common conceptual and measurement framework for data comparability.
  • The ICF Linking Rules and Rasch measurement model are used for data transformation.
  • Data from SF-36, WHODAS 2.0, and SIS 3.0 were used to demonstrate the application.

Main Results:

  • Items from SF-36, WHODAS 2.0, and SIS 3.0 were linked to ICF chapters (Mobility, Self-care, Domestic life) and analyzed using the Rasch model.
  • The Rasch model demonstrated good fit, unidimensionality, and no residual local dependency.
  • A transformation table was created for comparing different scales and the common metric.

Conclusions:

  • Reporting functioning information with ICF-based common metrics allows continued use of existing tools.
  • This approach enables comparison and aggregation of data within and across different tools.
  • Enhanced data comparability supports clinical practice and research in rehabilitation.