Antibiotics for common infections in primary care before, during and after the COVID-19 pandemic: cohort study of extent of prescribing based on risks of infection-related hospital admissions

ObjectivesAntibiotics are effective in treating bacterial infections, but they carry the risks of antimicrobial resistance and effectiveness loss. This study aimed to assess whether antibiotics for common infections are prescribed in a risk-based manner and how this changed during the COVID-19 pandemic.DesignCohort study of common infections and antibiotic prescribing.SettingWith the approval of NHS England, we accessed pseudonymised patient-level electronic health records of primary care data from The Phoenix Partnership through OpenSAFELY.ParticipantsWe included adults registered at general practices in England with a record of common infection, including lower respiratory tract infection (LRTI), upper respiratory tract infections (URTI) and lower urinary tract infection (UTI), from January 2019 to March 2023. Patients with a record of COVID-19 were excluded.Main outcome measuresPatient-specific risks of infection-related hospital admission were estimated for each infection using risk prediction scores for patients who were not prescribed an antibiotic. The infection cohorts were then grouped into risk deciles, and probabilities of being prescribed an antibiotic were assessed.ResultsWe found 15,719,750 diagnoses of common infections. Of them, 450,215 (2.86%) were hospitalised in the 30 days after the diagnosis and 10,429,060 (66.34%) were prescribed an antibiotic. There were substantial differences in observed rates of hospital admissions between the lowest and highest risk deciles (25-fold difference in URTI). The probability of being prescribed an antibiotic for LRTI or UTI was unrelated to hospital admission risk, and that for URTI was weakly related to hospital admission risk. During the COVID-19 pandemic, the level of risk-based antibiotic prescribing reduced.ConclusionsThere is a need to better target antibiotics in primary care to patients with worse prognosis and strengthen treatment guidelines in personalisation of prescribing.

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Publication Details

Journal
Journal of the Royal Society of Medicine
Published
2025-04-01
DOI
https://doi.org/10.1177/01410768251328997
Citations
2
Primary Topic
Antibiotic Use and Resistance
Type
article
Field-Weighted Citation Impact
2.52

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article

Antibiotics for common infections in primary care before, during and after the COVID-19 pandemic: cohort study of extent of prescribing based on risks of infection-related hospital admissions

Kieran Hand, Darren Mark Ashcroft, Jon Massey, Tjeerd van Staa et al.
2 citations
Journal of the Royal Society of Medicine
Antibiotic Use and Resistance
2.52
article

Antibiotics for common infections in primary care before, during and after the COVID-19 pandemic: cohort study of extent of prescribing based on risks of infection-related hospital admissions

Kieran Hand, Darren Mark Ashcroft, Jon Massey, Tjeerd van Staa, Alexander Pate, Brian McMillan, Seb Bacon, Ya-Ting Yang, Paul M Dark, Victoria Palin, Simon Watts, Ben Goldacre, Brian MacKenna, Xiaomin Zhong, Ali Fahmi, Anita Sharma, Amir Mehrkar
article en
2 citations

Abstract

ObjectivesAntibiotics are effective in treating bacterial infections, but they carry the risks of antimicrobial resistance and effectiveness loss. This study aimed to assess whether antibiotics for common infections are prescribed in a risk-based manner and how this changed during the COVID-19 pandemic.DesignCohort study of common infections and antibiotic prescribing.SettingWith the approval of NHS England, we accessed pseudonymised patient-level electronic health records of primary care data from The Phoenix Partnership through OpenSAFELY.ParticipantsWe included adults registered at general practices in England with a record of common infection, including lower respiratory tract infection (LRTI), upper respiratory tract infections (URTI) and lower urinary tract infection (UTI), from January 2019 to March 2023. Patients with a record of COVID-19 were excluded.Main outcome measuresPatient-specific risks of infection-related hospital admission were estimated for each infection using risk prediction scores for patients who were not prescribed an antibiotic. The infection cohorts were then grouped into risk deciles, and probabilities of being prescribed an antibiotic were assessed.ResultsWe found 15,719,750 diagnoses of common infections. Of them, 450,215 (2.86%) were hospitalised in the 30 days after the diagnosis and 10,429,060 (66.34%) were prescribed an antibiotic. There were substantial differences in observed rates of hospital admissions between the lowest and highest risk deciles (25-fold difference in URTI). The probability of being prescribed an antibiotic for LRTI or UTI was unrelated to hospital admission risk, and that for URTI was weakly related to hospital admission risk. During the COVID-19 pandemic, the level of risk-based antibiotic prescribing reduced.ConclusionsThere is a need to better target antibiotics in primary care to patients with worse prognosis and strengthen treatment guidelines in personalisation of prescribing.

Journal of the Royal Society of MedicineVol. 118(4)
Manchester Academic Health Science Centre (GB), University of Manchester (GB), University of Oxford (GB), North West Ambulance Service NHS Trust (GB)
Wellcome Trust, UK Research and Innovation, National Institute for Health and Care Research, NIHR Greater Manchester Patient Safety Translational Research Centre, Manchester Biomedical Research Centre, Medical Research Council
Good health and well-being
Openalex Percentile: Top 11%
Antibiotic Use and Resistance
2.52
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