Evidence map›Paper›PMID 33680398›Full record

ArticleCaspian journal of internal medicine2021

Medication errors in hematology-oncology ward by consultation: The role of the clinical pharmacologist.

Ali Eishy Oskuyi, Hamdolah Sharifi, Rahim Asghari

Open access · greenAbstract read
In one paragraph

Article in Caspian journal of internal medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 44% 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

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. 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

3 authors at 2 institutions in 1 country.

Ali Eishy OskuyiDepartment of Internal Medicine, Faculty of Medicine, Urmia University of Medical Sciences, Urmia, Iran.
Hamdolah SharifiInpatients Safety Research Center, Urmia University of Medical Sciences, Urmia , Iran.
Rahim AsghariDepartment of Internal Medicine, Faculty of Medicine, Urmia University of Medical Sciences, Urmia, Iran.
Urmia University · IRUrmia University of Medical Sciences

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim was to describe, evaluate and document the prevention of medication errors by clinical pharmacologist consultations in patients with cancer.

methodsWe assessed the effect of clinical pharmacologist consultation by the acceptance of interventions recommended due to dosage, frequency, duration of therapy errors and drug-drug interactions (DDIs). All medication errors detected by clinical pharmacologist were reported in the format of medical consultation. A documentation template was designed to collect the patient's data (sex, age, and diagnosis), prescriptions written, and drug-specific recommendations. For the descriptive analysis of medication errors, the unit of analysis was the number and percentage of errors.

resultsA total of 296 patients included in this study with a median age of 48.67±19.76 years of which 47.30% were females. 936 prescribing errors were detected and recommended for their correction. The specialist physicians accepted 897 of prescribed errors. DDIs that were detected in 66.22% of patients, were the most errors in this group of errors (47%). Improper dose (17.41%) wrong frequency (16.67%) and drug-food interaction (10.26%) were after that.

conclusionPharmacological consultation in the hematology-oncology ward revealed many medication errors. The trust of physicians in the views of the clinical pharmacologist led to a large part of these errors being accepted and resolved.

Indexed as

Clinical pharmacologistMedication errorPatient safety

Identifiers

PMID33680398
PMCPMC7919180
OpenAlexW3134439824

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.