Evidence map›Paper›PMID 41126089›Full record

ArticleBMC infectious diseases2025

A cross-sectional evaluation of rational antibiotic prescribing in Kabul based on WHO indicators.

Hedayatullah Ehsan, Munir Ahmad Ibrahimkhil, Marhabah Ahmadi, Fazel Rahim Wardak, Hasibullah Aminpoor, Abdul Salam, Hira Tariq, Mohammad Yousuf Mubarak

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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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1 · What the graph read from it

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Hedayatullah EhsanClinical Dentistry Department, Ghalib University, Shaheed Square, Airport Road, Kabul, 1001, Afghanistan. hedayatullahehsan@gmail.com.ORCID http://orcid.org/0000-0001-5970-713X
Munir Ahmad IbrahimkhilClinical Dentistry Department, Ghalib University, Shaheed Square, Airport Road, Kabul, 1001, Afghanistan.
Marhabah AhmadiClinical Dentistry Department, Ghalib University, Shaheed Square, Airport Road, Kabul, 1001, Afghanistan.
Fazel Rahim WardakDepartment of Internal Medicine, Kabul University of Medical Sciences, Kabul, Afghanistan.
Hasibullah AminpoorFaculty of Medicine, Kabul University of Medical Sciences, Kabul, Afghanistan.
Abdul SalamDepartment of Medical Imaging Technology, Gandhara University, Peshawar, Pakistan.
Hira TariqDepartment of Microbiology, University of Punjab, Lahore, Pakistan.
Mohammad Yousuf MubarakMedical Microbiology Department, Kabul University of Medical Sciences, Kabul, Afghanistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInappropriate antibiotic use is a major driver of antimicrobial resistance (AMR), particularly in low- and middle-income countries. To improve rational prescribing, the World Health Organization (WHO) developed core prescribing indicators and the AWaRe antibiotic classification. Evidence from Afghanistan remains scarce, especially in outpatient settings.

methodsThis cross-sectional prescription audit was conducted from June to December 2024 in six public and private hospitals in Kabul. Prescriptions were sampled from outpatient departments of internal medicine, pediatrics, surgery, and ENT. Of 623 prescriptions screened, 306 (49.1%) contained at least one antibiotic and were analyzed using WHO prescribing indicators and the AWaRe classification. Data were processed with SPSS v25.

resultsA total of 374 antibiotics were prescribed, with an average of 1.5 per prescription. The most common agents were ceftriaxone (19.9%), metronidazole (16.0%), ciprofloxacin (12.4%), and amoxicillin (11.4%). Generic prescribing accounted for 63.3%, while 42.7% of prescriptions included parenteral antibiotics. All antibiotics were from the National Essential Medicines List. AWaRe analysis showed Watch antibiotics (58.6%) predominated, while Access antibiotics (41.4%) were underused; no Reserve antibiotics were prescribed. No culture and sensitivity testing supported prescribing.

conclusionAntibiotic prescribing in Kabul outpatient settings substantially exceeded WHO standards, with high reliance on broad-spectrum Watch-group agents, injectables, and non-generic formulations. These findings underscore the urgent need for Antimicrobial Stewardship Programs, prescriber training, and improved diagnostic capacity to ensure rational antibiotic use and contain AMR in Afghanistan.

Indexed as

Anti-Bacterial AgentsDrug PrescriptionsInappropriate PrescribingPractice Patterns, Physicians'AfghanistanAmoxicillinAntimicrobial StewardshipCeftriaxoneCiprofloxacinCross-Sectional StudiesHumansMetronidazoleWorld Health OrganizationAmoxicillinAnti-Bacterial AgentsCeftriaxoneCiprofloxacinMetronidazoleAntibiotic prescribingAntimicrobial resistanceAWaRe classificationKabulStewardshipWHO prescribing indicators

Identifiers

PMID41126089
PMCPMC12542144

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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.