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Identification of relevant ICF categories in patients with chronic health conditions: a Delphi exercise

Martin Weigl1, Alarcos Cieza, Christina Andersen

  • 1Department of Physical Medicine and Rehabilitation, Ludwig-Maximillans-University, Munich, Germany.

Journal of Rehabilitation Medicine
|September 17, 2004
PubMed

Insights

International experts identified typical and relevant categories from the International Classification of Functioning, Disability and Health (ICF) for various chronic conditions. This research is a key step toward developing ICF Core Sets for these conditions.

Area of Science:

  • Rehabilitation Medicine
  • Health Informatics
  • Chronic Disease Management

Background:

  • The International Classification of Functioning, Disability and Health (ICF) provides a standardized framework for describing health and functioning.
  • Identifying condition-specific ICF categories is crucial for consistent data collection and clinical application.
  • Previous research has not comprehensively identified typical ICF categories across a broad range of chronic conditions.

Purpose of the Study:

  • To determine the most typical and relevant International Classification of Functioning, Disability and Health (ICF) categories for 12 distinct chronic conditions.
  • To establish a consensus among international experts on ICF category relevance for specific patient populations.
  • To lay the groundwork for the development of ICF Core Sets tailored to chronic diseases.

Main Methods:

  • A global Delphi survey involving international experts was employed to gather data over three rounds.
  • Expert responses were systematically linked to the International Classification of Functioning, Disability and Health (ICF) framework.
  • Data analysis focused on identifying categories with a high degree of consensus among experts.

Main Results:

  • Expert response rates varied from 21 to 43 participants per condition.
  • For most conditions (excluding depression), at least 80% of experts agreed on typical and/or relevant ICF categories across all components.
  • Distinct sets of relevant ICF categories were identified for each condition, alongside several common categories applicable to multiple conditions.

Conclusions:

  • It is feasible to generate expert-validated lists of ICF categories for specific chronic conditions.
  • These findings represent a significant advancement towards the creation of ICF Core Sets for managing chronic diseases.
  • The identified ICF categories can enhance the standardization and comparability of functional status assessment in chronic care.
Abstract

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