Literature DB >> 12959342

The ICF as a framework for national data: the introduction of ICF into Australian data dictionaries.

Ros Madden1, Ching Choi, Catherine Sykes.   

Abstract

PURPOSE: A country's data may influence and inform its policy and services, if suitably designed. This paper describes how two related and interacting activities--work on disability concepts and classification as well as the preparation of national data dictionaries--have been carried out in Australia, with this purpose.
METHOD: Three key ingredients were combined. A broadly based advisory group was established to ensure the use of disability concepts that are meaningful not only to policy makers but also to the Australian community. This group advised on two 'twin' activities: participation in the revision of the key international classification for disability, and specification of data elements for a national data dictionary according to international standards.
RESULTS: National data elements were developed, based on the Beta-2 draft ICIDH-2, and accepted for use in Australian national data dictionaries on a trial basis.
CONCLUSION: The purpose and process have been accepted as valuable, and there is interested anticipation of new Australian standard data elements based on the ICF.

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Mesh:

Year:  2003        PMID: 12959342     DOI: 10.1080/0963828031000137171

Source DB:  PubMed          Journal:  Disabil Rehabil        ISSN: 0963-8288            Impact factor:   3.033


  5 in total

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Authors:  Cara Tannenbaum; Sara Ahmed; Nancy Mayo
Journal:  Qual Life Res       Date:  2007-02-01       Impact factor: 4.147

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Authors:  Ros Madden; Nick Glozier; Elias Mpofu; Gwynnyth Llewellyn
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3.  Health measurement using the ICF: test-retest reliability study of ICF codes and qualifiers in geriatric care.

Authors:  Jiro Okochi; Sakiko Utsunomiya; Tai Takahashi
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4.  In search of an integrative measure of functioning.

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Journal:  Int J Environ Res Public Health       Date:  2015-05-26       Impact factor: 3.390

5.  Disability-Related Questions for Administrative Datasets.

Authors:  Rosamond H Madden; Sue Lukersmith; Qingsheng Zhou; Melita Glasgow; Scott Johnston
Journal:  Int J Environ Res Public Health       Date:  2020-07-28       Impact factor: 3.390

  5 in total

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