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Antibiotic prescribing frequency amongst patients in primary care: a cohort study using electronic health records
Background: Reducing inappropriate antibiotic prescribing in primary care is a public health priority. Objectives: We hypothesized that a subset of patients account for the majority of antibiotic prescriptions in primary care. We investigated the relationship between the total amount of antibiotics...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5437523/ https://www.ncbi.nlm.nih.gov/pubmed/28333200 http://dx.doi.org/10.1093/jac/dkx048 |
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author | Shallcross, Laura Beckley, Nick Rait, Greta Hayward, Andrew Petersen, Irene |
author_facet | Shallcross, Laura Beckley, Nick Rait, Greta Hayward, Andrew Petersen, Irene |
author_sort | Shallcross, Laura |
collection | PubMed |
description | Background: Reducing inappropriate antibiotic prescribing in primary care is a public health priority. Objectives: We hypothesized that a subset of patients account for the majority of antibiotic prescriptions in primary care. We investigated the relationship between the total amount of antibiotics prescribed, individual-level antibiotic use and comorbidity. Methods: This was a cohort study using electronic health records from 1 948 390 adults registered with 385 primary care practices in the UK in 2011–13. We estimated the average number of antibiotic prescriptions per patient and the association between prescribing and comorbidity. We modelled the impact on total prescribing of reducing antibiotic use in those prescribed antibiotics most frequently. Results: On average 30.1% (586 194/1 948 390) of patients were prescribed at least one antibiotic per year. Nine percent (174 602/1 948 390) of patients were prescribed 53% (2 091 496/3 922 732) of the total amount of antibiotics, each of whom received at least five antibiotic prescriptions over 3 years. The presence of any comorbidity increased the prescribing rate by 44% [adjusted incidence rate ratio (IRR) 1.44, 95% CI 1.43–1.45]; rates of prescribing to women exceeded those in men by 62% (adjusted IRR 1.62, 95% CI 1.62–1.63). Conclusions: Half of antibiotics prescribed to adults in primary care were for <10% of patients. Efforts to tackle antimicrobial resistance should consider the impact of this on total prescribing. |
format | Online Article Text |
id | pubmed-5437523 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-54375232017-05-24 Antibiotic prescribing frequency amongst patients in primary care: a cohort study using electronic health records Shallcross, Laura Beckley, Nick Rait, Greta Hayward, Andrew Petersen, Irene J Antimicrob Chemother Original Research Background: Reducing inappropriate antibiotic prescribing in primary care is a public health priority. Objectives: We hypothesized that a subset of patients account for the majority of antibiotic prescriptions in primary care. We investigated the relationship between the total amount of antibiotics prescribed, individual-level antibiotic use and comorbidity. Methods: This was a cohort study using electronic health records from 1 948 390 adults registered with 385 primary care practices in the UK in 2011–13. We estimated the average number of antibiotic prescriptions per patient and the association between prescribing and comorbidity. We modelled the impact on total prescribing of reducing antibiotic use in those prescribed antibiotics most frequently. Results: On average 30.1% (586 194/1 948 390) of patients were prescribed at least one antibiotic per year. Nine percent (174 602/1 948 390) of patients were prescribed 53% (2 091 496/3 922 732) of the total amount of antibiotics, each of whom received at least five antibiotic prescriptions over 3 years. The presence of any comorbidity increased the prescribing rate by 44% [adjusted incidence rate ratio (IRR) 1.44, 95% CI 1.43–1.45]; rates of prescribing to women exceeded those in men by 62% (adjusted IRR 1.62, 95% CI 1.62–1.63). Conclusions: Half of antibiotics prescribed to adults in primary care were for <10% of patients. Efforts to tackle antimicrobial resistance should consider the impact of this on total prescribing. Oxford University Press 2017-06 2017-02-21 /pmc/articles/PMC5437523/ /pubmed/28333200 http://dx.doi.org/10.1093/jac/dkx048 Text en © The Author 2017. Published by Oxford University Press on behalf of the British Society for Antimicrobial Chemotherapy. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Original Research Shallcross, Laura Beckley, Nick Rait, Greta Hayward, Andrew Petersen, Irene Antibiotic prescribing frequency amongst patients in primary care: a cohort study using electronic health records |
title | Antibiotic prescribing frequency amongst patients in primary care: a cohort study using electronic health records |
title_full | Antibiotic prescribing frequency amongst patients in primary care: a cohort study using electronic health records |
title_fullStr | Antibiotic prescribing frequency amongst patients in primary care: a cohort study using electronic health records |
title_full_unstemmed | Antibiotic prescribing frequency amongst patients in primary care: a cohort study using electronic health records |
title_short | Antibiotic prescribing frequency amongst patients in primary care: a cohort study using electronic health records |
title_sort | antibiotic prescribing frequency amongst patients in primary care: a cohort study using electronic health records |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5437523/ https://www.ncbi.nlm.nih.gov/pubmed/28333200 http://dx.doi.org/10.1093/jac/dkx048 |
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