Related Experiment Video

Updated: May 11, 2026

Multiplex Therapeutic Drug Monitoring by Isotope-dilution HPLC-MS/MS of Antibiotics in Critical Illnesses
11:17

Multiplex Therapeutic Drug Monitoring by Isotope-dilution HPLC-MS/MS of Antibiotics in Critical Illnesses

Published on: August 30, 2018

Evaluation of antimicrobial resistance surveillance data sources in primary care setting: a scoping review

Vimrata Mori1, Gary Grant1, Laetitia Hattingh1,2,3

  • 1Department of School of Pharmacy and Medical Sciences, Griffith University, 1 Parklands Drive, Southport, Gold Coast, Queensland 4215, Australia.

Family Practice
|March 29, 2025
PubMed
Abstract

Insights

Antimicrobial resistance (AMR) surveillance in primary care is vital for effective antimicrobial stewardship (AMS). Improving data accessibility and utilizing digital tools can enhance antibiotic prescribing and public health outcomes.

Area of Science:

  • Public Health
  • Infectious Diseases
  • Primary Care Medicine

Background:

  • Antimicrobial resistance (AMR) poses a significant global health threat, increasing mortality, morbidity, and healthcare costs.
  • Effective AMR surveillance is crucial for guiding interventions and preserving antibiotic efficacy.
  • Data sources for AMR surveillance in primary care settings require thorough evaluation.

Purpose of the Study:

  • To determine the value of AMR surveillance data in primary care for informing community antimicrobial stewardship (AMS) practices.
  • To assess how primary care AMR data can improve antibiotic prescribing behaviors.

Main Methods:

  • Systematic review of primary studies, including randomized controlled trials, observational studies, surveys, qualitative, and mixed-method studies.
  • Inclusion of grey literature in primary care published globally from 2001 to 2024.
  • Analysis of 21 included studies focusing on AMR surveillance and its impact on clinical care.

Main Results:

  • Utilizing AMR surveillance data significantly enhances clinical care and antibiotic prescribing in primary settings.
  • Lack of local susceptibility data often contributes to increased AMR due to uninformed empirical antibiotic treatment.
  • Educational interventions can modify prescribing behavior, and digital/geospatial platforms can improve surveillance.

Conclusions:

  • User-friendly, real-time data visualization platforms are essential for improving AMR surveillance and AMS in primary care.
  • Enhancing data accessibility, providing training, and standardizing data are critical for effective interventions.
  • Digital technologies and standardized data integration are key to improving decision-making and antibiotic prescribing for better public health outcomes.
Keywords:
antimicrobial resistancehealth surveillanceprimary careresistance data

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