Complexity and categorical analysis may improve the interpretation of agreement studies using continuous variables

• Tipo: Artigo em Revista Científica Internacional
• Data: 2011

Autores

Cristina Costa Santos (Autor) FMUP; João Bernardes (Autor) FMUP; Luis Antunes (Autor) FCUP; Diogo Ayres de Campos (Autor) FMUP

Revista

Título: Journal of Evaluation in Clinical Practice

Vol. 17 Nº 3

Páginas: 511-514

ISSN: 1356-1294

Editora: Wiley-Blackwell

Indexação

ISI Web of Knowledge - 3 Citações

Scopus - 5 Citações

Classificação Científica

FOS: Ciências médicas e da saúde > Ciências da saúde

Outras Informações

ID Authenticus: P-002-R7B

DOI: 10.1111/j.1365-2753.2011.01668.x

Abstract (EN): Rationale Complex clinical scenarios involving a high degree of uncertainty frequently lead to a poor agreement over diagnosis and management. However, inconsistent results can be found with the most widely used measures of agreement for continuous variables - the limits of agreement and the intraclass correlation coefficient. Aims and objectives We aim to improve the interpretation of agreement studies using continues variables. Methods and results Evaluation of agreement may be improved by complexity analysis and by categorization of variables, followed by the use of the proportions of agreement. Conclusions The average never characterizes a complex phenomenon and the methods used to access agreement in continuous variables are based on the mean. For future agreement studies, involving complex continuous variables, we recommend a complexity and categorical analysis.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 4