Measuring antimicrobial use in hospitalized patients: a systematic review of available measures applicable to

E Fortin1, P S Fontela2, A R Manges3

  • 1Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Canada Direction des risques biologiques et de la santé au travail, Institut national de santé publique du Québec, Québec and Montréal, Canada.

Insights

The best way to track antimicrobial use in hospitals, including for children, is still unclear. This review found 26 different measures, but none definitively predict antimicrobial resistance.

Area of Science:

  • Healthcare Epidemiology
  • Infectious Diseases
  • Pediatric Health

Background:

  • Accurate surveillance of antimicrobial usage is critical for combating antimicrobial resistance.
  • Existing measures for tracking antimicrobial consumption in hospital settings, particularly those including pediatric populations, lack definitive validation.
  • Understanding the optimal metric is essential for effective antimicrobial stewardship programs.

Purpose of the Study:

  • To systematically review and compare existing measures of antimicrobial use applied in settings with pediatric inpatients.
  • To identify and define various antimicrobial usage metrics used in literature.
  • To provide a foundation for selecting the most effective measure for surveillance and resistance prediction.

Main Methods:

  • Systematic literature search of MEDLINE, EMBASE, CINAHL, and LILACS (1975-2011) and citation tracking.
  • Inclusion of cohort studies and repeated point-prevalence studies involving hospitalized pediatric patients.
  • Independent data extraction by two reviewers on study characteristics and antimicrobial measure comparisons.

Main Results:

  • Seventy-nine studies met selection criteria, identifying 26 distinct antimicrobial usage measures.
  • The most common measures were defined daily doses (DDD)/patient-days and exposed patients/patients.
  • Limited quantitative comparisons showed correlations between different metrics, with doses/patient-days showing a stronger link to resistance rates.

Conclusions:

  • The optimal measure for antimicrobial use surveillance that best predicts antimicrobial resistance has not yet been identified.
  • Further research is necessary to establish evidence-based recommendations for antimicrobial usage metrics.
  • The findings highlight the need for standardized and validated measures in pediatric and general hospital settings.
Abstract

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