Statistical Methodology for Classifying Units on the Basis of Multiple Related Measures

• Tipo: Artigo em Revista Científica Internacional
• Data: 2008

Autores

Teixeira-Pinto A (Autor) FMUP; Normand SL (Autor) Outra

Revista

Título: Statistics in Medicine

Vol. 27 Nº 9

Páginas: 1329-1350

ISSN: 0277-6715

Editora: Wiley-Blackwell

Indexação

ISI Web of Science

Pubmed / Medline

Classificação Científica

CORDIS: Ciências Físicas > Matemática > Estatística > Estatística médica

Outras Informações

Abstract (EN): Both the private and public sectors have begun giving financial incentives to healthcare providers, such as hospitals, delivering superior 'quality of care'. Quality of care is assessed through a set of disease-specific measures that characterize the performance of healthcare providers. These measures are then combined into a unidimensional composite score. Most of the programs that reward superior performance use raw averages of the measures as the composite score. The scores based on raw averages fail to take into account typical characteristics of data used for performance evaluation, such as within-patient and within-hospital correlations, variable number of measures available in different hospitals, and missing data. In this paper, we contrast two different versions of composites based on raw average scores with a model-based score constructed using a latent variable model. We also present two methods to identify hospitals with superior performance. The methods are illustrated using national data collected to evaluate quality of care delivered by the U.S. acute care hospitals

Idioma: Português

Tipo (Avaliação Docente): Científica