Work

Temporal Trends and Determinants of Antibiotic Prescribing in Primary Care: Insights from Northern Ireland

Year: 2024

Type: article

Abstract: ObjectiveAntimicrobial resistance (AMR) has become one of the most serious global public health threats. Concerns about AMR resulted in increased monitoring and evaluation of antibiotic prescribing, with primary care responsible for over 80% of these prescriptions. Through this study, we aim to analyse temporal trends and variations in antibiotic prescribing at GP practice level and investigate the association between antibiotic prescribing and demographic, clinical, geographic, and socio-economic characteristics in Northern Ireland. MethodThe descriptive analyses are complemented by performing the multilevel modelling analysis to identify practice-level determinants of prescribing. ResultsChanges in standardised antibiotic prescribing rates are evaluated using a linear mixed-effects model with a random intercept for each GP practice. We discuss the changes in antibiotic prescribing rates over time, between-GP practice variations in prescribing, differences in prescribing between urban and urban practices, and the impact of demographic and socio-economic factors on antibiotic prescribing rates Conclusions and ImplicationsThis study contributes to the debate on determinants of antibiotic prescribing in primary care and provides actionable insights to policy makers responsible for antimicrobial stewardship and public health campaigns.

Source: International Journal for Population Data Science

DOI: 10.23889/ijpds.v9i5.2751

Authors: Magda Bucholc, Enya Redican, Stein GP Menting, Finola Ferry, Mark Shevlin, Jamie Murphy

Institutions: Public Health Agency, University of Ulster

Language: English

Topic: Antibiotic Use and Resistance

Subfield: Applied Microbiology and Biotechnology

Field: Immunology and Microbiology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $1,747