Evidence map›Paper›PMID 41299318›Full record

ArticleBMC infectious diseases2025

Antibiotic prescribing trends among Iranian GPs during COVID-19: a longitudinal analysis of antimicrobial resistance risks.

Mahfam Alijaniha, Mahdin Alijanihai, Mahdi Mirzaalimohammadi, Yasaman Vahdani

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Article in BMC infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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3 · Its place in the literature

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2 citing papers in PubMed.

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5 · Who and what money

Authors and funding

4 authors.

Mahfam AlijanihaDepartment of Microbiology, Zanjan University of Medical Sciences, Zanjan, Iran. mahfam.alijaniha@gmail.com.
Mahdin AlijanihaiDepartment of Microbiology, Tabriz University of Medical Sciences, Tabriz, Iran.
Mahdi MirzaalimohammadiDepartment of Civil Engineering, Semnan Branch, Islamic Azad University, Semnan, Iran.
Yasaman VahdaniDepartment of Biochemistry and Molecular Medicine, Faculty of Medicine, Université de Montréal, Montreal, QC, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAntimicrobial resistance (AMR) is a major global health threat, exacerbated by inappropriate antibiotic use. The COVID-19 pandemic disrupted prescribing behaviors worldwide. No previous study has comprehensively analyzed longitudinal antibiotic prescribing trends among Iranian general practitioners (GPs) across pre-, during-, and post-COVID periods. This study addresses this gap by examining 1,431,004 prescriptions from 73 GPs in Iran.

methodsWe conducted a retrospective cohort analysis using anonymized data from Iran’s National Hospital Information System (HIS), focusing on a central public clinic (representing ~ 7% of national GP prescriptions). Three periods were analyzed: pre-COVID (January 2019–December 2019), COVID (January 2020–May 2021), and post-COVID (June 2021–May 2022). Descriptive and inferential statistics (chi-square, Poisson regression, ANOVA) were used; p < 0.05 was considered significant.

resultsAntibiotic prescriptions rose from 107,365 (pre-COVID) to 200,433 (COVID), an 87% increase (95% CI: 82–92%; p < 0.001). Post-COVID, prescribing remained elevated (208,040; 94% above baseline). The antibiotic-to-total drug ratio doubled during COVID (7.6% to 14.4%, p < 0.001). Azithromycin use surged by 120% (p < 0.001), mainly for respiratory infections per national guidelines. Injectable penicillin G prescriptions dropped by 100% post-pandemic. Prescriptions per GP fell during COVID but rebounded after.

conclusionsThe sustained rise in broad-spectrum antibiotic prescribing by Iranian GPs during and after COVID-19 is likely to accelerate AMR in Iran. Urgent, locally tailored stewardship programs, GP education, and expanded rapid diagnostic testing are needed to curb unnecessary prescribing and protect public health.

Indexed as

Anti-Bacterial AgentsCOVID-19Drug PrescriptionsGeneral PractitionersPractice Patterns, Physicians'FemaleHumansIranLongitudinal StudiesMaleRetrospective StudiesSARS-CoV-2Anti-Bacterial AgentsAntibiotic prescribingAntimicrobial resistanceCOVID-19General practitionersIranStewardship

Identifiers

PMID41299318
PMCPMC12659257

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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.