Literature DB >> 31304530

Excess length of hospital stay due to healthcare acquired infections: methodologies evaluation.

G Giraldi1, M Montesano2, F Sandorfi1, M Iachini1, G B Orsi1.   

Abstract

BACKGROUND: Healthcare acquired infections (HAI) cause an increase of burden and in particular excess length of hospital stay (LOS) accounts for approximately up to 90% of total costs. Therefore accurate estimation of extra hospital stay due to healthcare acquired infections is very important.
METHODS: The authors carried out a review comparing the principal methods internationally used for estimating the excess LOS attributable to healthcare acquired infections.
RESULTS: The methods described and analysed are: 1) Implicit physician assessment; 2) appropriateness evaluation protocol; 3) unmatched case-control; 4) matched case-control; 5) regression analysis; 6) multistate model. The various methodologies are described underlining advantages and limits which researchers need to know before starting any economic analysis.
CONCLUSIONS: Overall, studies taking into account the time-dependent nature of HAI show to give more precise and reliable results.

Entities:  

Keywords:  Costs and cost analysis; Cross infection; Healthcare infection; Length of stay

Year:  2019        PMID: 31304530     DOI: 10.7416/ai.2019.2311

Source DB:  PubMed          Journal:  Ann Ig        ISSN: 1120-9135


  4 in total

1.  Antibiotic-resistant organisms establish reservoirs in new hospital built environments and are related to patient blood infection isolates.

Authors:  Kimberley V Sukhum; Erin P Newcomer; Candice Cass; Meghan A Wallace; Caitlin Johnson; Jeremy Fine; Steven Sax; Margaret H Barlet; Carey-Ann D Burnham; Gautam Dantas; Jennie H Kwon
Journal:  Commun Med (Lond)       Date:  2022-06-01

2.  Spatial Patterns in Hospital-Acquired Infections in Portugal (2014-2017).

Authors:  Hugo Teixeira; Alberto Freitas; António Sarmento; Paulo Nossa; Hernâni Gonçalves; Maria de Fátima Pina
Journal:  Int J Environ Res Public Health       Date:  2021-04-28       Impact factor: 3.390

Review 3.  Engineering biomaterials to prevent post-operative infection and fibrosis.

Authors:  Aditya Josyula; Kunal S Parikh; Ian Pitha; Laura M Ensign
Journal:  Drug Deliv Transl Res       Date:  2021-03-12       Impact factor: 5.671

4.  A comparison of statistical methods for modeling count data with an application to hospital length of stay.

Authors:  Gustavo A Fernandez; Kristina P Vatcheva
Journal:  BMC Med Res Methodol       Date:  2022-08-04       Impact factor: 4.612

  4 in total

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