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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.
Background:
The increase in the spread of antimicrobial resistance (AMR) in bacterial pathogens and limited availability of new antimicrobials places immense pressure on general practitioners (GPs) to prescribe appropriately. Currently, electronic antimicrobial prescribing data is not routinely collected from GPs in Ireland for surveillance purposes to assess regional specific fluctuations or trends in antimicrobial prescribing. The current study aimed to address this issue by assessing the feasibility of remotely extracting antimicrobial prescribing data from primary care practices in Ireland, for the purpose of assessing prescribing quality using the European Surveillance of Antimicrobial Consumption (ESAC) drug specific quality indicators.
Methods:
Participating practices (n = 30) uploaded data to the Irish Primary Care Research Network (IPCRN). The IPCRN data extraction facility is integrated within the practice patient management software system and permitted the extraction of anonymised patient prescriptions for a one year period, from October 2012 to October 2013. The quality of antimicrobial prescribing was evaluated using the twelve ESAC drug specific quality indicators using the defined daily dose (DDD) per 1,000 inhabitants per day (DID) methodology. National and European prescribing surveillance data (based on total pharmacy sales) was obtained for a comparative analysis.
Results:
Antimicrobial prescriptions (n = 57,079) for 27,043 patients were obtained from the thirty study practices for a one year period. On average, study practices prescribed a greater proportion of quinolones (37 % increase), in summer compared with winter months, a variation which was not observed in national and European data. In comparison with national data, study practices prescribed higher proportions of β-lactamase-sensitive penicillins (4.98 % vs. 4.3 %) and a greater use of broad spectrum compared to narrow-spectrum antimicrobials (ratio = 9.98 vs. 6.26) was observed. Study practices exceeded the European mean for prescribing combinations of penicillins, including β-lactamase inhibitors.
Conclusions:
This research demonstrates the feasibility and potential use of direct data extraction of anonymised practice data directly through the patient management software system. The data extraction methods described can facilitate the provision of routinely collected data for sustained and inclusive surveillance of antimicrobial prescribing. These comparisons may initiate further improvements in antimicrobial prescribing practices by identifying potential areas for improvement.
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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