Evidence map›Paper›PMID 32767219›Full record

ArticleInternational journal of clinical pharmacy2021

Investigating the incidence, nature, severity and potential causality of medication errors in hospital settings in Qatar.

Binny Thomas, Abdulrouf Pallivalapila, Wessam El Kassem, Moza Al Hail, Vibhu Paudyal, James McLay, Katie MacLure, Derek Stewart

Open access · hybridAbstract read
In one paragraph

Article in International journal of clinical pharmacy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.6field-weighted citation impact, top 8% 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

8 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
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  5. Benchmarking of medication incidents reporting and medication error rates in a JCI accredited university teaching hospital at a GCC country.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2023
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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

8 authors at 5 institutions in 2 countries.

Binny ThomasWomen's Wellness and Research Center, Hamad Medical Corporation, Doha, Qatar.ORCID https://orcid.org/0000-0003-1065-8343
Abdulrouf PallivalapilaWomen's Wellness and Research Center, Hamad Medical Corporation, Doha, Qatar.ORCID https://orcid.org/0000-0002-6924-8245
Wessam El KassemWomen's Wellness and Research Center, Hamad Medical Corporation, Doha, Qatar.ORCID https://orcid.org/0000-0001-9089-894X
Moza Al HailCorporate Pharmacy Executive Office, Hamad Medical Corporation, Doha, Qatar.ORCID https://orcid.org/0000-0003-4991-982X
Vibhu PaudyalSchool of Pharmacy, University of Birmingham, Birmingham, UK.
James McLayInstitute of Medical Sciences, University of Aberdeen, Aberdeen, UK.
Katie MacLureSchool of Pharmacy and Life Sciences, Robert Gordon University, Aberdeen, UK.
Derek StewartCollege of Pharmacy, QU Health, Qatar University, Doha, Qatar. d.stewart@qu.edu.qa.ORCID https://orcid.org/0000-0001-7360-8592
Hamad Medical Corporation · QAQatar University · QARobert Gordon University · GBUniversity of Aberdeen · GBUniversity of Birmingham · GB

Funding

Hamad Medical Corporation MRC-01-18-109
6 · The paper itself

Abstract

Background Medication errors are a major public health concern that negatively impact patient safety and health outcomes. Effective and efficient medication error reporting systems and practices are imperative in reducing error incidence and severity. Objective The objectives were to quantify the incidence, nature and severity of medication errors, and to explore potential causality using a theoretical framework. Setting The study was conducted at Hamad Medical Corporation, the largest public funded academic healthcare center in the state of Qatar. Methods A retrospective review of medication error reports submitted to the Hamad Medical Corporation incident reporting system during 2015 to 2017. Data related to number of reports, reporter, medication, severity and outcomes were extracted. Reason's Accident Causation Model was used as a theoretical framework for identifying potential causality. Two researchers independently categorized errors as: active failures (e.g. forgetting to administer medication at scheduled time); error provoking conditions (e.g. medication prescribed by an unauthorized physician and administered to the patient); and latent failures (e.g. organizational factors, lack of resources). Main outcome measures Incidence, classes of medications, reporter, error severity and outcomes, potential causality. Results A total of 5103 reports provided sufficient information to be included in the study giving an estimated error incidence of 0.044% of prescribed medication items. Most of the reports (91.5%, n = 4667) were submitted by pharmacists and majority (87.9%, n = 4485) were prescribing errors. The most commonly reported medications were anti-infectives for systemic use (22.0%, n = 1123) followed by medications to treat nervous system disorders (17.2%, n = 876). Only three errors reported to have caused temporary harm requiring intervention while one contributed to or resulted in temporary harm requiring initial or prolonged hospitalization. In terms of potential causality of medication errors, the majority (91.5%, n = 4671) were classified as active failures. Conclusion Almost all reports were submitted by pharmacists, indicating likely under-reporting affecting the actual incidence. Effort is required to increase the effectiveness and efficiency of the reporting system. The use of the theoretical framework allowed identification of potential causality, largely in relation to active failures, which can inform the basis of interventions to improve medication safety.

Indexed as

HospitalsMedication ErrorsCausalityHumansIncidenceQatarRetrospective StudiesCausesError reportingIncidenceMedication errorsQatarReason’s accident causation modelSeverity

Identifiers

PMID32767219
PMCPMC7878234
OpenAlexW3048082311

What OpenQuestion holds

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LicenceCC BY
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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.