Evidence map›Paper›PMID 33598764›Full record

ArticleEuropean journal of clinical pharmacology2021

Construction and analysis of a database for medication errors in a pharmacovigilance centre-the Moroccan experience.

Loubna Alj, Raja Benkirane, Amina Tebaa, Ghita Benabdallah, Alem Zekaria, Asmae Khattabi, Rachida Soulaymani Bencheikh

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Article in European journal of clinical pharmacology, 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
0.5field-weighted citation impact, top 45% 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, 4 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

7 authors at 2 institutions in 2 countries.

Loubna AljCentre Anti Poison et de Pharmacovigilance du Maroc, Rue Lamfadel Cherkaoui, Madinate Al Irfane, BP: 6671, Rabat, Morocco. naloub20@yahoo.fr.ORCID http://orcid.org/0000-0001-5464-378X
Raja BenkiraneEcole Nationale de Santé Publique, Ministry of Health, Rue Lamfadel Cherkaoui, Madinate Al Irfane, BP: 6329, Rabat, Morocco.
Amina TebaaCentre Anti Poison et de Pharmacovigilance du Maroc, Rue Lamfadel Cherkaoui, Madinate Al Irfane, BP: 6671, Rabat, Morocco.
Ghita BenabdallahCentre Anti Poison et de Pharmacovigilance du Maroc, Rue Lamfadel Cherkaoui, Madinate Al Irfane, BP: 6671, Rabat, Morocco.
Alem ZekariaUppsala Monitoring Center, Bredgränd 7b, 753 20, Uppsala, Sweden.
Asmae KhattabiField Epidemiology Training Program, Ecole Nationale de Santé Publique, Ministry of Health, Rue Lamfadel Cherkaoui, Madinate Al Irfane, BP: 6329, Rabat, Morocco.
Rachida Soulaymani BencheikhCentre Anti Poison et de Pharmacovigilance du Maroc, Rue Lamfadel Cherkaoui, Madinate Al Irfane, BP: 6671, Rabat, Morocco.
Ministère de la Santé · MAUppsala Monitoring Centre · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe study aimed to describe the epidemiological profile of medication errors (MEs) reported to the Moroccan Pharmacovigilance Center (MPVC), to determine factors associated with serious MEs, and to describe signals related to them.

methodsWe carried out a retrospective descriptive analysis of MEs reported to the MPVC from 2006 to 2016 and a secondary analysis of the seriousness of MEs with adverse drug reactions (ADRs). The reports were sorted by demographic profile and by ME and ADR characteristics. For signal detection, a quantitative approach was adopted, and the root cause analysis was completed. Epi info 7 software was used to perform descriptive and analytical statistics. The statistical significance level was set at p < 0.05.

resultsA total of 1618 ME reports were retrieved. The proportion of MEs associated with serious ADRs was 23.9%. The factors statistically associated with serious MEs were as follows: (i) the age group 16 years old and less (p < 0.001), (ii) the gender (p = 0.01), (iii) the administration and the prescription stages (p < 0.001), and (iv) the ME types related to inappropriate schedule of drug administration, drug prescribing error (p < 0.001), and incorrect drug administration dosage form (p = 0.04). Fourteen signals related to MEs were detected, for which risk minimization actions were implemented.

conclusionThe establishment of a ME unit within the MPVC was an opportunity to further improve the pharmacovigilance centre performance and consequently its contribution to medication safety. The lessons learned from MEs should be shared through pharmacovigilance networks and with institutions involved in medication safety for synergistic results to achieve patient safety worldwide.

Indexed as

PharmacovigilanceAdolescentAdultAgedAge FactorsChildChild, PreschoolFemaleHumansInfantInfant, NewbornMaleMedication ErrorsMiddle AgedMoroccoPatient AcuityMedication errorsMedication safetyPharmacovigilanceRisk minimization actionRoot cause analysisSignal detection

Identifiers

PMID33598764
OpenAlexW3129686121

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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.