Improving antimicrobial prescribing in Irish primary care through electronic data collection and surveillance: a

Sandra Galvin1, Aoife Callan2,3, Martin Cormican4,5

  • 1Discipline of General Practice, School of Medicine, National University of Ireland Galway, Galway, Ireland. Sandra.galvin@nuigalway.ie.

BMC Family Practice
|July 3, 2015
PubMed
Abstract

Insights

Remote data extraction from Irish general practices is feasible for monitoring antimicrobial prescribing quality. This method can improve surveillance and identify areas for enhancing appropriate antibiotic use, combating antimicrobial resistance (AMR).

Area of Science:

  • Public Health
  • Infectious Diseases
  • Health Informatics

Background:

  • Antimicrobial resistance (AMR) necessitates appropriate prescribing by general practitioners (GPs).
  • Routine electronic antimicrobial prescribing data collection from Irish GPs is lacking for surveillance.
  • This study assessed the feasibility of extracting prescribing data for quality assessment.

Purpose of the Study:

  • To evaluate the feasibility of remotely extracting anonymised antimicrobial prescribing data from Irish primary care practices.
  • To assess antimicrobial prescribing quality using European Surveillance of Antimicrobial Consumption (ESAC) indicators.
  • To establish a foundation for sustained antimicrobial prescribing surveillance.

Main Methods:

  • Data extraction from 30 general practices via the Irish Primary Care Research Network (IPCRN) patient management software.
  • Anonymised prescription data collected for one year (October 2012-October 2013).
  • Prescribing quality evaluated using twelve ESAC drug-specific quality indicators and DDD/1,000 inhabitants/day (DID) methodology; compared with national/European data.

Main Results:

  • 57,079 antimicrobial prescriptions for 27,043 patients were analyzed.
  • Practices showed higher quinolone use in summer (37% increase) versus national/European data.
  • Higher proportions of β-lactamase-sensitive penicillins and broader-spectrum antimicrobials were prescribed compared to national data.

Conclusions:

  • Direct, remote data extraction from patient management systems is feasible for antimicrobial prescribing surveillance.
  • This method supports sustained and inclusive monitoring of prescribing practices.
  • Identified prescribing variations can guide improvements and enhance appropriate antimicrobial use.

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