125
Views
6
CrossRef citations to date
0
Altmetric
Original Article

The use of ICF codes for information retrieval in rehabilitation research: An empirical study

, PhD, OTR, , &
Pages 955-962 | Published online: 07 Jul 2009
 

Abstract

Purpose. Rehabilitation research information can be obtained from various bibliographic sources. Nevertheless, search strategies and terminologies differ from one database to another making it challenging for the novice user or users of multiple databases. This paper discusses a novel approach of using the International Classification of Functioning, Disability and Health (ICF) codes to retrieve rehabilitation research information.

Method. A crosswalk was created by mapping the Center for International Rehabilitation Research and Information Exchange's (CIRRIE) subject headings to the two-level ICF codes and a search interface was developed (available at: http://cirrie.buffalo.edu/icf/crosswalk.php) so that users can input ICF codes instead of conventional subject headings.

Results. About 62% of all CIRRIE subject headings were mapped to equivalent ICF codes. Among the CIRRIE subject heading that were mapped, 43% were mapped to the Environmental Factors, followed by 34% mapped to the Activities and Participation component of the ICF.

Conclusion. Although the ICF was not conceived or developed as a system of formal terminology, it can be used effectively for information retrieval in conjunction with an existing vocabulary. This paper describes the first attempt in implementing the use of ICF for information retrieval.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 65.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 374.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.