An economic model for the prevention of MRSA infections after surgery: non-glycopeptide or glycopeptide antibiotic prophylaxis?

Rachel A Elliott, Helen L A Weatherly, Neil S Hawkins, Gillian Cranny, Duncan Chambers, Lindsey Myers, Alison Eastwood, Mark J Sculpher

Research output: Contribution to journalArticlepeer-review

Abstract

AIM: Surgical site infection is commonly caused by Staphylococcus aureus. The multiresistant strains (MRSA) are resistant to most antibiotic prophylaxis regimens. Our aim was to explore whether there is a threshold of MRSA prevalence at which switching to routine glycopeptide-based antibiotic prophylaxis becomes cost-effective.

METHODS: An indicative model was designed to explore the cost-effectiveness of vancomycin, cephalosporin or a combination, in patients undergoing primary hip arthroplasty.

RESULTS: If the MRSA infection rate is equal to or above 0.25% and the rate of other infections with cephalosporin prophylaxis is equal to or above 0.2%, use of the combination antibiotic prophylaxis is optimal.

DISCUSSION: Modelling the cost-effectiveness of interventions for MRSA prevention is complex due to uncertainty around resistance and effectiveness of glycopeptides.

CONCLUSIONS: The indicative model provides a framework for evaluation. More work is needed to understand the impact of antibiotic resistance over time in these currently effective antibiotics.

Original languageEnglish
Pages (from-to)57-66
Number of pages10
JournalEuropean Journal of Health Economics
Volume11
Issue number1
DOIs
Publication statusPublished - Feb 2010

Keywords

  • Anti-Bacterial Agents
  • Antibiotic Prophylaxis
  • Arthroplasty, Replacement, Hip
  • Cephalosporins
  • Confidence Intervals
  • Decision Support Techniques
  • Drug Therapy, Combination
  • Glycopeptides
  • Humans
  • Length of Stay
  • Methicillin-Resistant Staphylococcus aureus
  • Models, Economic
  • Odds Ratio
  • Quality-Adjusted Life Years
  • Staphylococcal Infections
  • Surgical Wound Infection
  • United Kingdom
  • Vancomycin
  • Journal Article
  • Research Support, Non-U.S. Gov't

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