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

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.

Authors

Institutions

Publication Details

Journal
International Journal for Population Data Science
Published
2024-09-10
DOI
https://doi.org/10.23889/ijpds.v9i5.2751
Primary Topic
Antibiotic Use and Resistance
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Jamie Murphy, Magda Bucholc, Enya Redican, Finola Ferry et al.
International Journal for Population Data Science
Antibiotic Use and Resistance
article

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

Jamie Murphy, Magda Bucholc, Enya Redican, Finola Ferry, Stein GP Menting, Mark Shevlin
article en

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.

International Journal for Population Data ScienceVol. 9(5)
University of Ulster (GB), Public Health Agency (GB)
Economic and Social Research Council
Openalex Percentile: Top 83%
Antibiotic Use and Resistance
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.