Trends, Variation, and Factors Influencing Antibiotic Prescribing: A Longitudinal Study in Primary Care Using a Multilevel Modelling Approach.
antibacterial drugs
antibiotics prescribing
antimicrobial resistance
deprivation
general practice
mixed-effects model
multilevel modelling
primary care
Journal
Antibiotics (Basel, Switzerland)
ISSN: 2079-6382
Titre abrégé: Antibiotics (Basel)
Pays: Switzerland
ID NLM: 101637404
Informations de publication
Date de publication:
24 Dec 2021
24 Dec 2021
Historique:
received:
14
11
2021
revised:
14
12
2021
accepted:
20
12
2021
entrez:
21
1
2022
pubmed:
22
1
2022
medline:
22
1
2022
Statut:
epublish
Résumé
Antimicrobial resistance has become one of the greatest threats to global health. Over 80% of antibiotics are prescribed in primary care, with many prescriptions considered to be issued inappropriately. The aim of this study was to examine the association between prescribing rates and demographic, practice, geographic, and socioeconomic characteristics using a multilevel modelling approach. Antibiotic prescribing data by 320 GP surgeries in Northern Ireland were obtained from Business Services Organisation for the years 2014-2020. A linear mixed-effects model was used to identify factors influencing antibiotic prescribing rates. Overall, the number of antibacterial prescriptions decreased by 26.2%, from 1,564,707 items in 2014 to 1,155,323 items in 2020. Lower levels of antibiotic prescribing were associated with urban practices (
Identifiants
pubmed: 35052894
pii: antibiotics11010017
doi: 10.3390/antibiotics11010017
pmc: PMC8772723
pii:
doi:
Types de publication
Journal Article
Langues
eng
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