Content comparison of the Spinal Cord Injury Model System Database to the ICF Generic Sets and Core Sets for spinal cord injury.
Spinal Cord
; 57(12): 1023-1030, 2019 Dec.
Article
em En
| MEDLINE
| ID: mdl-31292520
STUDY DESIGN: Mapping of the National Spinal Cord Injury Model System (SCIMS) Database (NSCID) to the International Classification of Functioning, Disability and Health (ICF). OBJECTIVES: To link the content of the latest two versions of the NSCID to the ICF; more specifically (1) to compare the content of the current NSCID 2016-2021 version to its predecessor (NSCID 2011-2016) using the ICF as a neutral reference framework, and (2) to compare the content contained in the NSCID 2016-2021 version with relevant ICF Sets. SETTING: The forms of the NSCID 2016-2021 and 2011-2016 versions were linked to the ICF and contrasted. Comparability of the current version of the NSCID with the ICF Core Set for Spinal Cord Injury (SCI) in the post-acute and long-term context and the two generic ICF sets- ICF Generic-7 and ICF Generic-30 was then examined. METHODS: ICF Linking Rules and descriptive statistics. RESULTS: The current NSCID 2016-2021 version covers functioning as classified in the ICF with 8 ICF categories more comprehensively than its predecessor does. More than 50% of ICF categories contained in the two ICF Generic Sets were covered. The coverage of the brief ICF Core Sets for SCI by the NSCID 2016-2021 was more than 50%, but the coverage of the comprehensive core sets was low. Results showed the best coverage in the ICF component Activities and Participation. CONCLUSIONS: This study emphasizes how the ICF and its Sets can serve as a reference framework to foster comparability of existing data sets from both clinical practice and research.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Traumatismos da Medula Espinal
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Classificação Internacional de Funcionalidade, Incapacidade e Saúde
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Bases de Dados Factuais
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Avaliação da Deficiência
Tipo de estudo:
Diagnostic_studies
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Prognostic_studies
Limite:
Humans
Idioma:
En
Ano de publicação:
2019
Tipo de documento:
Article