Comparative analysis of undernutrition screening and diagnostic tools as predictors of hospitalisation costs

• Tipo: Artigo em Revista Científica Internacional
• Data: 2016

Autores

R. S. Guerra (Autor) Outra; A. S. Sousa (Autor) Outra; I. Fonseca (Autor) Outra; F. Pichel (Autor) Outra; M. T. Restivo (Autor) FEUP; S. Ferreira (Autor) Outra; T. F. Amaral (Autor) FCNAUP

Revista

Título: Journal of Human Nutrition and Dietetics

Vol. 29 Nº 2

Páginas: 165-173

ISSN: 0952-3871

Editora: Wiley-Blackwell

Indexação

ISI Web of Knowledge - 37 Citações

ISI Web of Science

Scopus - 0 Citações

Classificação Científica

CORDIS: Ciências da Saúde

Outras Informações

ID Authenticus: P-010-YAJ

DOI: 10.1111/jhn.12288

Abstract (EN): Background: Undernutrition is associated with higher hospitalisation costs. The present study aims (i) to explore whether undernutrition status at hospital admission, as evaluated by different screening and diagnostic tools, can predict patient's hospitalisation costs and (ii) to provide an updated economic analysis of undernutrition burden. Methods: A prospective study was conducted in a university hospital. Participants' (n = 637) nutritional risk was evaluated within 72 h of admission using the Nutritional Risk Screening (NRS-2002) and the Malnutrition Universal Screening Tool ('MUST'). Undernutrition status was determined by Academy of Nutrition and Dietetics (AND) and American Society for Parenteral and Enteral Nutrition (ASPEN) recommended clinical characteristics and by the Patient Generated Subjective Global Assessment (PG-SGA). The hospitalisation cost was calculated for each inpatient using the diagnosis-related group system. Multivariable linear regression analysis was conducted to identify predictors of hospitalisation costs via percentage deviation from the mean cost, after adjustment for patients' characteristics and comorbidities. Results: Undernutrition risk according to NRS-2002 and high undernutrition risk according to 'MUST' increased patient's costs, respectively, by 21.1% [95% confidence interval (CI) = 9.0-33.2%] and 28.8% (95% CI = 13.7-39.9%). Severe undernutrition by AND-ASPEN recommended clinical characteristics and by PG-SGA was also associated with higher hospitalisation costs, respectively 19.4% (95% CI = 7.3-31.5%) and 27.5% (95% CI = 14.0-41.1%). The cost of a nutritionally-at-risk or undernourished patient is between ¤416 (95% CI = ¤156-675) and ¤617 (95% CI = ¤293-855) higher than the average of the respective diagnosis-related group. Conclusions: Undernutrition is a predictor of hospitalisation costs, increasing costs by between 19% and 29%. Undernutrition screening tools have an ability for predicting hospitalisation costs similar to that of diagnostic tools. An updated analysis of undernutrition associated costs was provided, highlighting the economic burden of undernutrition. Journal of Human Nutrition and Dietetics © 2014 The British Dietetic Association Ltd.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Notas: Epub 2014 Dez 23

Nº de páginas: 9