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Serious bacterial infections and antibiotic prescribing in primary care: cohort study using electronic health records in the UK
OBJECTIVE: This study evaluated whether serious bacterial infections are more frequent at family practices with lower antibiotic prescribing rates. DESIGN: Cohort study. SETTING: 706 UK family practices in the Clinical Practice Research Datalink from 2002 to 2017. PARTICIPANTS: 10.1 million register...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BMJ Publishing Group
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7050314/ https://www.ncbi.nlm.nih.gov/pubmed/32114481 http://dx.doi.org/10.1136/bmjopen-2020-036975 |
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author | Gulliford, Martin C Sun, Xiaohui Charlton, Judith Winter, Joanne R Bunce, Catey Boiko, Olga Fox, Robin Little, Paul Moore, Michael Hay, Alastair D Ashworth, Mark |
author_facet | Gulliford, Martin C Sun, Xiaohui Charlton, Judith Winter, Joanne R Bunce, Catey Boiko, Olga Fox, Robin Little, Paul Moore, Michael Hay, Alastair D Ashworth, Mark |
author_sort | Gulliford, Martin C |
collection | PubMed |
description | OBJECTIVE: This study evaluated whether serious bacterial infections are more frequent at family practices with lower antibiotic prescribing rates. DESIGN: Cohort study. SETTING: 706 UK family practices in the Clinical Practice Research Datalink from 2002 to 2017. PARTICIPANTS: 10.1 million registered patients with 69.3 million patient-years’ follow-up. EXPOSURES: All antibiotic prescriptions, subgroups of acute and repeat antibiotic prescriptions, and proportion of antibiotic prescriptions associated with specific-coded indications. MAIN OUTCOME MEASURES: First episodes of serious bacterial infections. Poisson models were fitted adjusting for age group, gender, comorbidity, deprivation, region and calendar year, with random intercepts representing family practice-specific estimates. RESULTS: The age-standardised antibiotic prescribing rate per 1000 patient-years increased from 2002 (male 423; female 621) to 2012 (male 530; female 842) before declining to 2017 (male 449; female 753). The median family practice had an antibiotic prescribing rate of 648 per 1000 patient-years with 95% range for different practices of 430–1038 antibiotic prescriptions per 1000 patient-years. Specific coded indications were recorded for 58% of antibiotic prescriptions at the median family practice, the 95% range at different family practices was from 10% to 75%. There were 139 759 first episodes of serious bacterial infection. After adjusting for covariates and the proportion of coded consultations, there was no evidence that serious bacterial infections were lower at family practices with higher total antibiotic prescribing. The adjusted rate ratio for 20% higher total antibiotic prescribing was 1.03, (95% CI 1.00 to 1.06, p=0.074). CONCLUSIONS: We did not find population-level evidence that family practices with lower total antibiotic prescribing might have more frequent occurrence of serious bacterial infections overall. Improving the recording of infection episodes has potential to inform better antimicrobial stewardship in primary care. |
format | Online Article Text |
id | pubmed-7050314 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-70503142020-03-16 Serious bacterial infections and antibiotic prescribing in primary care: cohort study using electronic health records in the UK Gulliford, Martin C Sun, Xiaohui Charlton, Judith Winter, Joanne R Bunce, Catey Boiko, Olga Fox, Robin Little, Paul Moore, Michael Hay, Alastair D Ashworth, Mark BMJ Open Epidemiology OBJECTIVE: This study evaluated whether serious bacterial infections are more frequent at family practices with lower antibiotic prescribing rates. DESIGN: Cohort study. SETTING: 706 UK family practices in the Clinical Practice Research Datalink from 2002 to 2017. PARTICIPANTS: 10.1 million registered patients with 69.3 million patient-years’ follow-up. EXPOSURES: All antibiotic prescriptions, subgroups of acute and repeat antibiotic prescriptions, and proportion of antibiotic prescriptions associated with specific-coded indications. MAIN OUTCOME MEASURES: First episodes of serious bacterial infections. Poisson models were fitted adjusting for age group, gender, comorbidity, deprivation, region and calendar year, with random intercepts representing family practice-specific estimates. RESULTS: The age-standardised antibiotic prescribing rate per 1000 patient-years increased from 2002 (male 423; female 621) to 2012 (male 530; female 842) before declining to 2017 (male 449; female 753). The median family practice had an antibiotic prescribing rate of 648 per 1000 patient-years with 95% range for different practices of 430–1038 antibiotic prescriptions per 1000 patient-years. Specific coded indications were recorded for 58% of antibiotic prescriptions at the median family practice, the 95% range at different family practices was from 10% to 75%. There were 139 759 first episodes of serious bacterial infection. After adjusting for covariates and the proportion of coded consultations, there was no evidence that serious bacterial infections were lower at family practices with higher total antibiotic prescribing. The adjusted rate ratio for 20% higher total antibiotic prescribing was 1.03, (95% CI 1.00 to 1.06, p=0.074). CONCLUSIONS: We did not find population-level evidence that family practices with lower total antibiotic prescribing might have more frequent occurrence of serious bacterial infections overall. Improving the recording of infection episodes has potential to inform better antimicrobial stewardship in primary care. BMJ Publishing Group 2020-02-28 /pmc/articles/PMC7050314/ /pubmed/32114481 http://dx.doi.org/10.1136/bmjopen-2020-036975 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Epidemiology Gulliford, Martin C Sun, Xiaohui Charlton, Judith Winter, Joanne R Bunce, Catey Boiko, Olga Fox, Robin Little, Paul Moore, Michael Hay, Alastair D Ashworth, Mark Serious bacterial infections and antibiotic prescribing in primary care: cohort study using electronic health records in the UK |
title | Serious bacterial infections and antibiotic prescribing in primary care: cohort study using electronic health records in the UK |
title_full | Serious bacterial infections and antibiotic prescribing in primary care: cohort study using electronic health records in the UK |
title_fullStr | Serious bacterial infections and antibiotic prescribing in primary care: cohort study using electronic health records in the UK |
title_full_unstemmed | Serious bacterial infections and antibiotic prescribing in primary care: cohort study using electronic health records in the UK |
title_short | Serious bacterial infections and antibiotic prescribing in primary care: cohort study using electronic health records in the UK |
title_sort | serious bacterial infections and antibiotic prescribing in primary care: cohort study using electronic health records in the uk |
topic | Epidemiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7050314/ https://www.ncbi.nlm.nih.gov/pubmed/32114481 http://dx.doi.org/10.1136/bmjopen-2020-036975 |
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