Evidence map›Paper›PMID 24488385›Full record

ArticleEinstein (Sao Paulo, Brazil)2013

Drug interaction in the emergency service.

Meiry Fernanda Pinto Okuno, Raíssa Silveira Cintra, Cássia Regina Vancini-Campanharo, Ruth Ester Assayag Batista

Abstract read
In one paragraph

Article in Einstein (Sao Paulo, Brazil), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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.

Meiry Fernanda Pinto Okuno
Raíssa Silveira Cintra
Cássia Regina Vancini-Campanharo
Ruth Ester Assayag Batista

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo identify the occurrence of potential drug interactions in prescriptions for adult patients admitted to the Emergency Department of Hospital São Paulo.

methodsA cross-sectional and descriptive study. Its sample consisted of 200 medical prescriptions. The analysis of drug interactions was performed using the Drugs.com database, where they are classified according to severity of interaction as severe, moderate, mild and without interaction.

resultsThe number of drugs in prescriptions ranged from 2 to 19, and the average per prescription was 4.97 drugs. A total of 526 potential drug interactions were identified in 159 prescriptions (79.5%); in that, 109 were severe, 354 moderate, 63 mild interactions, and 41 showed no interaction.

conclusionThis study demonstrated potential drug interactions in 79.5% of prescriptions examined in the Emergency Department. Drug interactions can occur at any time when using medications and, during this working process, the nursing staff is involved in several steps. Therefore, training the nursing staff for the rational use of drugs can increase safety of care delivered to patients.

Indexed as

Drug InteractionsAdultCross-Sectional StudiesDrug PrescriptionsEmergency Medical ServicesFemaleHumansMaleMedication ErrorsMiddle AgedPatient Safety

Identifiers

PMID24488385
PMCPMC4880383

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.