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

• Type: Article in International Scientific Journal
• Date: 2016

Authors

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

Journal

Title: Journal of Human Nutrition and Dietetics

Vol. 29 No. 2

Pages: 165-173

ISSN: 0952-3871

Publisher: Wiley-Blackwell

Indexing

ISI Web of Knowledge - 37 Citations

ISI Web of Science

Scopus - 0 Citations

Scientific classification

CORDIS: Health sciences

Other information

Authenticus ID: 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.

Language: English

Type (Professor's evaluation): Scientific

Notes: Epub 2014 Dez 23

No. of pages: 9