Evidence map›Paper›PMID 38997756›Full record

ArticleAntimicrobial resistance and infection control2024

Understanding the impact of COVID-19 on antibiotic use in Canadian primary care: a matched-cohort study using EMR data.

Rachael Morkem, Glenys Smith, Braden Knight, Sabrina T Wong, David Barber

Abstract read
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Article in Antimicrobial resistance and infection control, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Rachael MorkemDepartment of Family Medicine, Queen's University, 220 Bagot St., Kingston, ON, K7L 5E9, Canada. rachaelm@cpcssn.org.
Glenys SmithPublic Health Agency of Canada, Ottawa, ON, Canada.
Braden KnightPublic Health Agency of Canada, Ottawa, ON, Canada.
Sabrina T WongCentre for Health Services and Policy Research and School of Nursing, University of British Columbia, Vancouver, Canada.
David BarberDepartment of Family Medicine, Queen's University, 220 Bagot St., Kingston, ON, K7L 5E9, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInappropriate or overuse of antibiotic prescribing in primary care highlights an opportunity for antimicrobial stewardship (AMS) programs aimed at reducing unnecessary use of antimicrobials through education, policies and practice audits that optimize antibiotic prescribing. Evidence from the early part of the pandemic indicates a high rate of prescribing of antibiotics for patients with COVID-19. It is crucial to surveil antibiotic prescribing by primary care providers from the start of the pandemic and into its endemic stage to understand the effects of the pandemic and better target effective AMS programs.

methodsThis was a matched pair population-based cohort study that used electronic medical record (EMR) data from the Canadian Primary Care Sentinel Surveillance Network (CPCSSN). Participants included all patients that visited their primary care provider and met the inclusion criteria for COVID-19, respiratory tract infection (RTI), or non-respiratory or influenza-like-illness (negative). Four outcomes were evaluated (a) receipt of an antibiotic prescription; (b) receipt of a non-antibiotic prescription; (c) a subsequent primary care visit (for any reason); and (d) a subsequent primary care visit with a bacterial infection diagnosis. Conditional logistic regression was used to evaluate the association between COVID-19 and each of the four outcomes. Each model was adjusted for location (rural or urban), material and social deprivation, smoking status, alcohol use, obesity, pregnancy, HIV, cancer and number of chronic conditions.

resultsThe odds of a COVID-19 patient receiving an antibiotic within 30 days of their visit is much lower than for patients visiting for RTI or for a non-respiratory or influenza-like-illnesses (AOR = 0.08, 95% CI[0.07, 0.09] compared to RTI, and AOR = 0.43, 95% CI[0.38, 0.48] compared to negatives). It was found that a patient visit for COVID-19 was much less likely to have a subsequent visit for a bacterial infection at all time points.

conclusionsEncouragingly, COVID-19 patients were much less likely to receive an antibiotic prescription than patients with an RTI. However, this highlights an opportunity to leverage the education and attitude change brought about by the public health messaging during the COVID-19 pandemic (that antibiotics cannot treat a viral infection), to reduce the prescribing of antibiotics for other viral RTIs and improve antibiotic stewardship.

Indexed as

Anti-Bacterial AgentsAntimicrobial StewardshipCOVID-19Electronic Health RecordsPrimary Health CareAdolescentAdultAgedCanadaChildChild, PreschoolCohort StudiesFemaleHumansInappropriate PrescribingInfantAnti-Bacterial AgentsAntibiotic prescribingAntimicrobial stewardshipPrimary care dataRespiratory tract infection

Identifiers

PMID38997756
PMCPMC11242630

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LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.