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

Ann Ig. 2019 Sep-Oct;31(5):507-516. doi: 10.7416/ai.2019.2311.

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.

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

Publication types

  • Review

MeSH terms

  • Cross Infection / economics
  • Cross Infection / epidemiology*
  • Hospital Costs
  • Hospitalization / economics
  • Hospitalization / statistics & numerical data*
  • Humans
  • Length of Stay / economics
  • Length of Stay / statistics & numerical data*
  • Research Design
  • Time Factors