Evidence map›Paper›PMID 33603492›Full record

ArticleDrug, healthcare and patient safety2021

Assessment of Potential Drug-Drug Interactions and Their Predictors in Chronic Outpatient Department of Dessie Referral Hospital, Dessie, Northeast Ethiopia.

Mengistie Yirsaw Gobezie, Hailu Birhanu Bitew, Abdu Tuha, Haftom Gebregergs Hailu

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Article in Drug, healthcare and patient safety, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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

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3 citing papers in PubMed.

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5 · Who and what money

Authors and funding

4 authors.

Mengistie Yirsaw GobezieDepartment of Pharmacy, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia.
Hailu Birhanu BitewDepartment of Pharmacy, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia.
Abdu TuhaDepartment of Pharmacy, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia.ORCID 0000-0001-7560-2039
Haftom Gebregergs HailuDepartment of Pharmacology and Toxicology, School of Pharmacy, College of Health Sciences, Mekelle University, Mekelle, Ethiopia.ORCID 0000-0002-9135-9638

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess the prevalence and predictors of Potential drug-drug interactions (DDIs) at the chronic outpatient department of Dessie Referral Hospital, Dessie, Northeast Ethiopia. PATIENTS AND

methodsA cross-sectional study was carried out on the medical records of patients treated in the chronic ambulatory department of Dessie Referral Hospital (DRH), from March 1/2019 to May 30/2019. Ethical clearance was granted from the department of pharmacy, college of medicine, and health sciences, Wollo University. Lexi-comp computer program database was used to detect pDDIs. SPSS version 22 was used to produce a descriptive analysis of the background data and logistic regression to identify predictors of pDDIs.

resultsIn this study, the medical record of 300 patients has been reviewed and 489 pDDIs have been identified. The prevalence of pDDIs per patient was 1.63. Of all the identified pDDIs, the moderate severity interactions were the majority, 88.55% (n=433) followed by 8.38% (n=41) of minor, 2.66% (n=13) of major, and 0.41% (n=2) of contraindicated drug interactions. Taking three or more drugs at a time has been found as a statistically significant predictor of the occurrence of pDDIs.

conclusionA high rate of moderate severity pDDIs have been recorded. A system of checks and balances should be developed and executed for all those who are involved in prescribing, dispensing, and administration of medications for effective identification and prevention of pDDIs.

Indexed as

drug selectionpatient safetypolypharmacyprevalence

Identifiers

PMID33603492
PMCPMC7886090

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