Evidence map›Paper›PMID 34564088›Full record

ReviewMedicines (Basel, Switzerland)2021

The Effective Strategies to Avoid Medication Errors and Improving Reporting Systems.

Abbas Al Mutair, Saad Alhumaid, Abbas Shamsan, Abdul Rehman Zia Zaidi, Mohammed Al Mohaini, Alya Al Mutairi, Ali A Rabaan, Mansour Awad, Awad Al-Omari

Open access · goldAbstract readReview
In one paragraph

Review in Medicines (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
11.4field-weighted citation impact, top 1% 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

31 citing papers in PubMed, 1 synthesis or guideline pooled it, 64 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

9 authors at 8 institutions in 4 countries.

Abbas Al MutairResearch Center, Almoosa Specialist Hospital, Al-Ahsa 36342, Saudi Arabia.ORCID 0000-0002-9471-2767
Saad AlhumaidAdministration of Pharmaceutical Care, Al-Ahsa Health Cluster, Ministry of Health, Al-Ahsa 36342, Saudi Arabia.ORCID 0000-0003-4552-4513
Abbas ShamsanResearch Center, Dr. Sulaiman Al Habib Medical Group, Riyadh 12214, Saudi Arabia.
Abdul Rehman Zia ZaidiResearch Center, Dr. Sulaiman Al Habib Medical Group, Riyadh 12214, Saudi Arabia.ORCID 0000-0003-0137-9633
Mohammed Al MohainiBasic Sciences Department, College of Applied Medical Sciences, King Saud Bin Abdulaziz University for Health Sciences, Alhasa 31982, Saudi Arabia.ORCID 0000-0002-0185-4484
Alya Al MutairiDepartment of Mathematics, Faculty of Science, Taibah University, Medina 54321, Saudi Arabia.ORCID 0000-0003-4181-6279
Ali A RabaanMicrobiology Department, Johns Hopkins Aramco Healthcare, Alhasa 31982, Saudi Arabia.
Mansour AwadCommitment Administration, General Directorate of Health Affairs, Ministry of Health, Medina 54321, Saudi Arabia.
Awad Al-OmariResearch Center, Dr. Sulaiman Al Habib Medical Group, Riyadh 12214, Saudi Arabia.
Alfaisal University · SAKing Saud bin Abdulaziz University for Health Sciences · SAMinistry of Health · MMMinistry of Health · SAPrincess Nourah bint Abdulrahman University · SASaudi Aramco Medical Services Organization · SASulaiman Al Rajhi Colleges · SATaibah University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPopulation-based studies from several countries have constantly shown excessively high rates of medication errors and avoidable deaths. An efficient medication error reporting system is the backbone of reliable practice and a measure of progress towards achieving safety. Improvement efforts and system changes of medication error reporting systems should be targeted towards reductions in the likelihood of injury to future patients. However, the aim of this review is to provide a summary of medication errors reporting culture, incidence reporting systems, creating effective reporting methods, analysis of medication error reports, and recommendations to improve medication errors reporting systems.

methodsElectronic databases (PubMed, Ovid, EBSCOhost, EMBASE, and ProQuest) were examined from 1 January 1998 to 30 June 2020. 180 articles were found and 60 papers were ultimately included in the review. Data were mined by two reviewers and verified by two other reviewers. The search yielded 684 articles, which were then reduced to 60 after the deletion of duplicates via vetting of titles, abstracts, and full-text papers.

resultsStudies were principally from the United States of America and the United Kingdom. Limited studies were from Canada, Australia, New Zealand, Korea, Japan, Greece, France, Saudi Arabia, and Egypt. Detection, measurement, and analysis of medication errors require an active rather than a passive approach. Efforts are needed to encourage medication error reporting, including involving staff in opportunities for improvement and the determination of root cause(s). The National Coordinating Council for Medication Error Reporting and Prevention taxonomy is a classification system to describe and analyze the details around individual medication error events.

conclusionA successful medication error reporting program should be safe for the reporter, result in constructive and useful recommendations and effective changes while being inclusive of everyone and supported with required resources. Health organizations need to adopt an effectual reporting environment for the medication use process in order to advance into a sounder practice.

Indexed as

health care professionalhealth organizationsimprovemedical errorsmedication errormedication error reporting programpatients

Identifiers

PMID34564088
PMCPMC8468915
OpenAlexW3198375955

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.