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Updated: May 20, 2026

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Application of the Intelligent High-Throughput Antimicrobial Sensitivity Testing/Phage Screening System and Lar Index of Antimicrobial Resistance
Published on: July 21, 2023
Benchmarking inappropriate empirical antibiotic treatment
1Department of Medicine E, Rabin Medical Centre, Beilinson Hospital, Petah-Tikva, Israel.
Summary
Inappropriate empirical antibiotic treatment for severe infections, a common issue, impacts patient mortality and antibiotic resistance. This study establishes benchmarks for acceptable treatment rates.
Area of Science:
- Infectious Diseases
- Pharmacology
- Public Health
Background:
- Inappropriate empirical antibiotic treatment for severe infections is linked to increased mortality.
- Superfluous antibiotic use contributes to the induction of antimicrobial resistance.
Purpose of the Study:
- To define acceptable rates of inappropriate empirical antibiotic treatment for severe infections.
- To establish benchmarks for evaluating local treatment performance.
Main Methods:
- Systematic review and meta-analysis of prospective cohort studies (1975-2009).
- Inclusion of microbiologically documented infections from 87 studies (27,628 patients).
- Pooled estimate calculation using a beta-binomial model and control limits derived from overdispersion factor technique with winsorized data.
Main Results:
- The pooled rate of inappropriate empirical antibiotic treatment was 28.6% (95% CI 25.4-31.8).
- Benchmarking using control limits indicated 86% of studies fell within acceptable parameters after applying specific statistical methods.
- Significant heterogeneity was observed, not explained by clinical or methodological factors.
Conclusions:
- A pooled rate of 28.6% for inappropriate empirical antibiotic treatment highlights a significant clinical challenge.
- The developed funnel plot and control limits provide a tool for benchmarking local performance.
- Evaluating at least 500 patients is recommended before establishing local treatment rates.
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