Evidence map›Paper›PMID 37300629›Full record

ArticleDrugs - real world outcomes2023

Prescribing Pattern and Associated Factors in Community Pharmacies: A Cross-Sectional Study Using AWaRe Classification and WHO Antibiotic Prescribing Indicators in Dire Dawa, Ethiopia.

Beyene Dereje, Alemseged Workneh, Alemayehu Megersa, Shegaye Yibabie

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Article in Drugs - real world outcomes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

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7citing 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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7 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Beyene DerejeDepartment of Pharmacology, School of Medicine, College of Medicine and Health Sciences, Dire Dawa University, Dire Dawa, Ethiopia. beyexderie23@gmail.com.ORCID http://orcid.org/0000-0003-0496-4846
Alemseged WorknehDepartment of Pharmacology, School of Medicine, College of Medicine and Health Sciences, Dire Dawa University, Dire Dawa, Ethiopia.
Alemayehu MegersaDepartment of Pharmacology, School of Medicine, College of Medicine and Health Sciences, Dire Dawa University, Dire Dawa, Ethiopia.
Shegaye YibabieDepartment of Medicine, School of Medicine, College of Medicine and Health Sciences, Dire Dawa University, Dire Dawa, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAntimicrobials are drugs that are more likely to trigger the development of resistance naturally. Thus, they need to be prescribed, dispensed, and administered with greater caution. To underline the significance of their proper usage, antibiotics are divided as AWaRe: Access, Watch, and Reserve. Timely evidence on medicine use, prescribing patterns, and the factors affecting prescribing of antibiotic and their use percentage from AWaRe classification would help decision-makers to draft guidelines that can enable more rational use of medicines.

methodsProspective and cross-sectional study was conducted among seven community pharmacies in Dire Dawa to assess current prescribing practices related World Health Organization (WHO) indicators and AWaRe classification including antibiotic use and associated factors. Using stratified random sampling techniques, 1200 encounters were reviewed between 1 October and 31 October 2022, and SPSS version 27 was used for the analysis.

resultsThe average of medications per prescription was 1.96. Antibiotics were included in 47.8% of encounters, while 43.1% were prescribed from the Watch groups. In 13.5% of the encounters, injections were administered. In multivariate models, patient age, gender, and the number of medications prescribed were significantly associated to prescription of antibiotics. Antibiotics were about 2.5 times more likely to be prescribed to patients under the age of 18 years than to subjects 65 years and older [adjusted odds ratio (AOR): 2.51, 95% confidence interval (CI): 1.88-5.42; P < 0.001]. Men were also more likely than women to receive an antibiotic prescription (AOR: 1.74, 95% CI: 1.18-2.33; P = 0.011). Subjects who received more than two drugs were 2.96 times more likely to receive an antibiotic drug (AOR: 2.96, 95% CI: 1.77-6.55; P < 0.003). The probability of prescribing antibiotics was increased by 2.57 for every one-unit increase in the number of medications [crude odds ratio (OR): 2.57; 95% CI: 2.16-3.47; P < 0.002].

conclusionAccording to the present study, the amount of prescriptions with antibiotics at community pharmacies is much higher than the WHO standard (20-26.2%). The antibiotics prescribed from Access group were 55.3%, which is slightly lower than WHO recommended level (60%). The prescribing of antibiotics was significantly correlated to the patient's age, gender, and number of medications. The preprint version of the present study is available on Research Square with the following link: https://doi.org/10.21203/rs.3.rs-2547932/v1 .

Identifiers

PMID37300629
PMCPMC10491565

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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.