Evidence map›Paper›PMID 35210638›Full record

ArticleJNMA; journal of the Nepal Medical Association2022

Potential Drug-drug Interactions among Hospital Discharge Prescriptions in a Tertiary Care Centre of Nepal: A Descriptive Cross-sectional Study.

Bijay Bhandari, Pratik Lamichhane, Dipendra Yadav, Sangha Ratna Bajracharya

Open access · diamondAbstract read
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Article in JNMA; journal of the Nepal Medical Association, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 39% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 4 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Bijay BhandariDepartment of Clinical Pharmacology, Institute of Medicine, Tribhuvan University, Kathmandu, Nepal.
Pratik LamichhaneMaharajgunj Medical Campus, Institute of Medicine, Tribhuvan University, Kathmandu, Nepal.
Dipendra YadavDepartment of Clinical Pharmacology, Institute of Medicine, Tribhuvan University, Kathmandu, Nepal.
Sangha Ratna BajracharyaDepartment of Clinical Pharmacology, Institute of Medicine, Tribhuvan University, Kathmandu, Nepal.
Tribhuvan University · NPTribhuvan University Teaching Hospital · NP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIn our setup, potential drug-drug interactions are overlooked in routine clinical practice. In general, most of the discharges are handwritten in the developing world, and the discharge prescriptions are not checked with the database for potential drug-drug interactions checker. This study aimed to determine the prevalence of potential drug-drug interactions in the prescribed drugs in clinical practice in a tertiary care centre of Nepal.

methodsA descriptive cross-sectional study was conducted in a tertiary care center from October 2019 to December 2019. Ethical approval was taken from the Institutional Review Committee (Reference number: 394(6-11)E2/075/76). Through simple random sampling, the data about drug prescription was collected from the patient discharge records of the Department of Internal Medicine. The potential drug interactions were checked by using Lexicomp® drug interactions. Data was analysed using Statistical Package for the Social Sciences version 20.0. Point estimate at 95% Confidence Interval was calculated along with frequency, percentage, mean, standard deviation and mode.

resultsAmong 382 discharge prescriptions, the prevalence of potential drug-drug interactions was 299 (78.3%) (74.1-82.4 at 95% Confidence Interval). A total of 1519 drug interactions with a mean of 5.08±3.89 drug interactions per prescription was identified. The major, moderate and minor drug-drug interactions according to the severity were found to be 163 (10.7%), 1162 (76.5%), and 178 (11.7%) respectively.

conclusionsThe prevalence of potential drug-drug interactions is high among the patients on discharge compared to similar studies. Use of drug-drug interactions checker databases before discharge with computer-based discharge prescriptions is recommended.

Indexed as

Patient DischargePharmaceutical PreparationsCross-Sectional StudiesDrug InteractionsDrug PrescriptionsHumansNepalTertiary Care CentersPharmaceutical Preparationsdrug interactions; Nepal; patient discharge; software.

Identifiers

PMID35210638
PMCPMC9200007
OpenAlexW4212987867

What OpenQuestion holds

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Registered trials

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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.