Evidence map›Paper›PMID 41023256›Full record

ArticleScientific reports2025

Evaluation of potential drug-drug interactions and its determinants among outpatient prescriptions in six community chain pharmacies in Asmara, Eritrea: a cross-sectional study.

Nuru Abdu, Tomas Tewelde, Nerjis Jabir, Saleh Idrisnur, Eyasu H Tesfamariam

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Article in Scientific reports, 2025. 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

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

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.

Nuru AbduMedicine Information Services Unit, Pharmacy Services Division, Department of Medical Services, Ministry of Health, Asmara, Eritrea. pharmacistnuru@gmail.com.ORCID https://orcid.org/0000-0003-2426-4337
Tomas TeweldeGash-Barka Zonal Pharmaceutical Services, Ministry of Health, Barentu, Eritrea.ORCID https://orcid.org/0009-0009-9671-4983
Nerjis JabirAfabet Hospital, Ministry of Health, Afabet, Eritrea.
Saleh IdrisnurProduct Evaluation and Registration Unit, National Medicines and Food Administration, Ministry of Health, Asmara, Eritrea.ORCID https://orcid.org/0000-0002-8007-1153
Eyasu H TesfamariamBiostatistics and Epidemiology, Department of Statistics, College of Sciences, Mai-Nefhi, Eritrea.ORCID https://orcid.org/0000-0002-8462-0500

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inappropriate prescribing of medicines could result in adverse drug reactions and interactions thereby leading to morbidity and mortality. Potential drug-drug interactions are preventable drug-related problems with the risks of hospitalization, adverse effects, and treatment failure. This study aimed to assess medication utilization patterns, and potential drug-drug interactions and its determinants among outpatient prescriptions. A cross-sectional survey was conducted. The study included dispensed outpatient prescriptions in six community chain pharmacies in Asmara, Eritrea, between June 16 and July 16, 2023. A stratified random sampling was utilized and drug interactions were screened using Lexi-comp drug interaction checker. Logistic regression was used to assess the determinants of clinically significant potential drug-drug interactions using IBM SPSS (version-26.0). A total of 417 outpatient prescriptions were included in the study. Moreover, a total of 830 medicines were prescribed from the 417 dispensed outpatient prescriptions. The most commonly prescribed medicines were omeprazole (8.4%) and amoxicillin (8.1%). Out of 267 prescriptions containing two or more medicines, the prevalence of clinically significant pDDIs was 29.2% (95%CI: 23.7, 34.7). The most common medicines involved in clinically significant pDDIs were diclofenac (22.6%) and ciprofloxacin (10.9%). Adult population (AOR = 4.23, 95%CI: 1.49, 12.01), older adult population (AOR = 7.09, 95%CI: 2.24, 22.44), number of drugs prescribed (AOR = 2.27, 95%CI: 1.53, 3.37), and tertiary level health facility (AOR = 9.13, 95%CI: 1.17, 71.42) were significant determinants of clinically significant pDDIs. Clinically significant pDDIs were detected in considerable number of outpatient prescriptions requiring strict monitoring from healthcare professionals, policy makers, and program managers.

Indexed as

Drug PrescriptionsPharmaciesAdolescentAdultAgedCross-Sectional StudiesDrug InteractionsDrug-Related Side Effects and Adverse ReactionsEritreaFemaleHumansInappropriate PrescribingMaleMiddle AgedOutpatientsYoung AdultCommunity pharmacyDeterminantsEritreaOutpatient prescriptionsPotential drug–drug interactions

Identifiers

PMID41023256
PMCPMC12479951

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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.