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J Antimicrob Chemother. 2018 Feb 1;73(suppl_2):ii36-ii43. doi: 10.1093/jac/dkx500.

Potential for reducing inappropriate antibiotic prescribing in English primary care.

Author information

1
Modelling and Economics Unit, National Infection Service, Public Health England, London, UK.
2
MRC Centre for Outbreak Analysis and Modelling, Department of Infectious Disease Epidemiology, Imperial College School of Public Health, London, UK.
3
PharmacoTherapy, -Epidemiology & -Economics, Department of Pharmacy, University of Groningen, Groningen, The Netherlands.
4
Antimicrobial Resistance and Stewardship and Healthcare-Associated Infections Programme, Public Health England, London, UK.
5
Directorate of Infection, Royal Free London NHS Foundation Trust, London, UK.
6
Paediatric Infectious Diseases Research Group, St George's University of London, London, UK.
7
Centre for Academic Primary Care, NIHR School for Primary Care Research, Population Health Sciences, Bristol Medical School, University of Bristol, UK.
8
Academic Unit for Primary Care and Population Sciences, University of Southampton, Southampton, UK.

Abstract

Objectives:

To identify and quantify inappropriate systemic antibiotic prescribing in primary care in England, and ultimately to determine the potential for reduction in prescribing of antibiotics.

Methods:

Primary care data from 2013-15 recorded in The Health Improvement Network (THIN) database were used. Potentially inappropriate prescribing events in the database were identified by: (i) comparing prescribing events against treatment guidelines; (ii) comparing actual proportions of consultations resulting in prescription for a set of conditions with the ideal proportions derived from expert opinion; and (iii) identifying high prescribers and their number of prescriptions above an age- and body-system-specific benchmark.

Results:

Applying the most conservative assumptions, 8.8% of all systemic antibiotic prescriptions in English primary care were identified as inappropriate, and in the least conservative scenario 23.1% of prescriptions were inappropriate. All practices had non-zero reduction potentials, ranging from 6.4% to 43.5% in the middle scenario. The four conditions that contributed most to inappropriate prescribing were sore throat (23.0% of identified inappropriate prescriptions), cough (22.2%), sinusitis (7.6%) and acute otitis media (5.7%). One-third of all antibiotic prescriptions lacked an informative diagnostic code.

Conclusions:

This work demonstrates (i) the existence of substantial inappropriate antibiotic prescribing and (ii) poor diagnostic coding in English primary care. All practices (not just the high prescribers) should engage in efforts to improve antimicrobial stewardship. Better diagnostic coding, more precise prescribing guidelines and a deeper understanding of appropriate long-term uses of antibiotics would allow identification of further potential for reductions.

PMID:
29490058
PMCID:
PMC5890667
DOI:
10.1093/jac/dkx500
[Indexed for MEDLINE]
Free PMC Article

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