Evidence map›Paper›PMID 37063442›Full record

ArticleSaudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society2023

Types, trends, and patterns of the reported antimicrobial errors to the eastern region's medical centers in Saudi Arabia: A cross-sectional study.

Ali M Aldayyen, Mohammad A Alwabari, Fatimah Alhaddad, Murtadha A Alhumaid, Naseem Alsuwailem, Amal Alanzi, Abdullah A Alalwan, Osamah Alfayez, Sana Alwafai, Saad A Aldosari and 3 more

Abstract read
In one paragraph

Article in Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society, 2023. 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. Review
  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

13 authors.

Ali M AldayyenDepartment of Pharmacy Practice, College of Clinical Pharmacy, King Faisal University, Alahsa 31982, Saudi Arabia.
Mohammad A AlwabariDepartment of Pharmacy, Prince Sultan Hospital, Nairyah 37641, Saudi Arabia.
Fatimah AlhaddadDepartment of Pharmacy, Clinical Pharmacy Section, King Fahad Specialist Hospital, Dammam 32253, Saudi Arabia.
Murtadha A AlhumaidDepartment of Pharmacy, King Faisal University, Alahsa 31982, Saudi Arabia.
Naseem AlsuwailemDepartment of Pharmacy Practice, College of Clinical Pharmacy, King Faisal University, Alahsa 31982, Saudi Arabia.
Amal AlanziDepartment of Pharmaceutical Care, General Directorate of Health Affairs in the Eastern Region, Dammam 32247, Saudi Arabia.
Abdullah A AlalwanDepartment of Clinical Pharmacy, College of Pharmacy, Prince Sattam bin Abdulaziz University, Al-Kharj 16278, Saudi Arabia.
Osamah AlfayezDepartment of Pharmacy Practice, College of Pharmacy, Qassim University, Qassim 51452, Saudi Arabia.
Sana AlwafaiDepartment of Pharmacy Practice, Batterjee Medical College, Jeddah 21429, Saudi Arabia.
Saad A AldosariDepartment of Clinical Pharmacy, College of Pharmacy, Prince Sattam bin Abdulaziz University, Al-Kharj 16278, Saudi Arabia.
Nehad J AhmedDepartment of Clinical Pharmacy, College of Pharmacy, Prince Sattam bin Abdulaziz University, Al-Kharj 16278, Saudi Arabia.
Ziyad AlmalkiDepartment of Clinical Pharmacy, College of Pharmacy, Prince Sattam bin Abdulaziz University, Al-Kharj 16278, Saudi Arabia.
Ahmad AlamerDepartment of Clinical Pharmacy, College of Pharmacy, Prince Sattam bin Abdulaziz University, Al-Kharj 16278, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Medication errors (MEs) are a huge burden on any healthcare system and have been associated with significant morbidity and mortality. The medical literature reported heavily on MEs but lacked focus on analyzing high-risk medications such as antimicrobials. Research design and methods: This was a retrospective analysis of the MEs database reported by the eastern region's medical centers in Saudi Arabia from January 1, 2019 to December 31, 2019. We used descriptive analysis to identify most common antimicrobials with errors, the stage of antimicrobial errors, type of the errors, contributing factors to the errors, and categories of errors based on the National Coordinating Council for Medication Error Reporting and Prevention (NCC-MERP) classification of errors. Results: A total of 1422 (22.1%) antimicrobial errors were identified out of 6412 MEs. Amoxicillin/Clavulanate (18%) was the most common antimicrobial reported in the database. Most errors occurred in the prescribing phase (87.6%) and included mainly incorrect doses (32.1%) and duplicate therapy (20.5%). In addition, most errors were identified as category B (72.5%). Finally, inexperienced personnel (57.9%) was the most cited contributing factor. Conclusion: This study revealed that antimicrobial errors occur primarily during prescription and that policy gaps and inexperienced staff were contributory factors. To improve, the focus should shift to physician education, clear dosing guidelines, efficient workload management, and implementing antimicrobial stewardship programs to promote appropriate antimicrobial use.

Indexed as

Antimicrobial errorsAntimicrobialsMedication errorsRatesReporting

Identifiers

PMID37063442
PMCPMC10102554

What OpenQuestion holds

Textmetadata
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.