Evidence map›Paper›PMID 37627659›Full record

ArticleAntibiotics (Basel, Switzerland)2023

Evaluation of Antibiotic Prescribing Pattern Using WHO Access, Watch and Reserve Classification in Kinshasa, Democratic Republic of Congo.

Jocelyn Mankulu Kakumba, Jérémie Mbinze Kindenge, Paulin Mutwale Kapepula, Jean-Marie Liesse Iyamba, Murielle Longokolo Mashi, Jose Wambale Mulwahali, Didi Mana Kialengila

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Article in Antibiotics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

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9citing papers in PubMed
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1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Jocelyn Mankulu KakumbaLaboratory of Drug Analysis, Faculty of Pharmaceutical Sciences, University of Kinshasa, Kinshasa XI 212, Democratic Republic of Congo.ORCID 0000-0003-4047-6241
Jérémie Mbinze KindengeLaboratory of Drug Analysis, Faculty of Pharmaceutical Sciences, University of Kinshasa, Kinshasa XI 212, Democratic Republic of Congo.
Paulin Mutwale KapepulaCentre d'Etudes des Substances Naturelles d'Origine Végétale (CESNOV), Faculty of Pharmaceutical Sciences, University of Kinshasa, Kinshasa XI 212, Democratic Republic of Congo.ORCID 0000-0003-2946-4047
Jean-Marie Liesse IyambaLaboratory of Experimental and Pharmaceutical Microbiology, University of Kinshasa, Kinshasa XI 212, Democratic Republic of Congo.
Murielle Longokolo MashiDépartement de Médecine Interne, Service de Maladies Infectieuses et Tropicales, Kinshasa XI 212, Democratic Republic of Congo.ORCID 0000-0002-9808-3830
Jose Wambale MulwahaliLaboratory of Experimental and Pharmaceutical Microbiology, University of Kinshasa, Kinshasa XI 212, Democratic Republic of Congo.
Didi Mana KialengilaLaboratory of Drug Analysis, Faculty of Pharmaceutical Sciences, University of Kinshasa, Kinshasa XI 212, Democratic Republic of Congo.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe AWaRe tool was set up by the World Health Organization (WHO) to promote the rational use of antimicrobials. Indeed, this tool classifies antibiotics into four groups: access, watch, reserve and not-recommended antibiotics. In The Democratic Republic of Congo, data on antibiotic dispensing (prescribing) by health professionals according to the AWaRe classification are scarce. In this research work, we aimed to explore antibiotic dispensing pattern from health professionals according to the WHO AWaRe classification to strengthen the national antimicrobial resistance plan.

methodsFor this purpose, a survey was conducted from July to December 2022 in the district of Tshangu in Kinshasa. From randomly selected drugstores, drug-sellers were interviewed and randomly selected customers attending those drugstores were included in the study for medical prescriptions collection. The prescribed antibiotics were classified into the access, watch, reserve and not-recommended antibiotics group and by antibiotics number by prescription among pharmacies surveyed.

results400 medical prescriptions were collected from 80 drugstores and among which, 301 (75.25%) contained antibiotics. Out of 301 prescriptions, we noticed 164 (54.5%) containing one antibiotic, 117 (38.9%) containing two antibiotics, 15 (5%) containing three antibiotics and 5 (1.6%) containing four antibiotics. A total of 463 antibiotics were prescribed and distributed as 169 (36.5%) were from the access group, 200 (43.2%) from the watch group and 94 (20.3%) from not-recommended antibiotics group, respectively. This can explain the fact of emerging bacterial strains, as, according to the WHO recommendations, the access group should be prioritized because of its activity against a wide range of commonly encountered pathogens and its showing low resistance susceptibility compared to antibiotics from other groups. Based on the anatomical, therapeutic and chemical (ATC) classifications, we observed that third generation cephalosporins represented 34.33% of the prescribed antibiotics, followed by penicillins (17.17%), macrolides (7.63%), aminoglycosides (7.36%) and Imidazole (7.36%), thus accounting approximately for 74% of the classes of antibiotics prescribed. Additionally, among them, the most frequently prescribed antibiotics were Ceftriaxone (21.38%), Amoxicillin (11.01%), Gentamycin (5.61%), Amoxicillin-clavulanic acid (5.61%), Azithromycin (4.97%) and Metronidazole (4.75%), thus accounting for approximately 54% of all the prescribed antibiotics.

conclusionThese results highlight the importance of strict implementation of the national plan to combat antimicrobial resistance and the need to train health workers in the correct application of the WHO AWaRe classification.

Indexed as

antibioticantimicrobial resistanceprescribing patternprescriptionWHO AWaRe classification

Identifiers

PMID37627659
PMCPMC10451486

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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.