Evidence map›Paper›PMID 33868619›Full record

ArticleJournal of healthcare engineering2021

Theory-Based Failure Modes and Effect Analysis for Medication Errors.

Saeid Jafarzadeh Ghoushchi, Shadi Dorosti, Mohd Nizam Ab Rahman, Marzieh Khakifirooz, Mahdi Fathi

Abstract read
In one paragraph

Article in Journal of healthcare engineering, 2021. 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. Article
  2. Article
  3. Preventive Risk Assessment of Medication in Intensive Wards.International journal of preventive medicine · 2023
    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

5 authors.

Saeid Jafarzadeh GhoushchiFaculty of Industrial Engineering, Urmia University of Technology, Urmia, Iran.ORCID 0000-0003-3665-9010
Shadi DorostiFaculty of Industrial Engineering, Urmia University of Technology, Urmia, Iran.ORCID 0000-0003-4369-5685
Mohd Nizam Ab RahmanDepartment of Mechanical and Manufacturing Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia.ORCID 0000-0002-7053-4396
Marzieh KhakifiroozDepartment of Industrial Engineering, Tecnologico de Monterrey, Monterrey,NL, Mexico.ORCID 0000-0002-1721-2646
Mahdi FathiDepartment of Information Technology & Decision Sciences, G. Brint Ryan College of Business, University of North Texas, Denton, TX, USA.ORCID 0000-0003-3476-4722

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Medication Errors (MEs) are still significant challenges, especially in nonautomated health systems. Qualitative studies are mostly used to identify the parameters involved in MEs. Failing to provide accurate information in expert-based decisions can provoke unrealistic results and inappropriate corrective actions eventually. However, mostly, some levels of uncertainty accompany the decisions in real practice. This study tries to present a hybrid decision-making approach to assigning different weights to risk factors and considering the uncertainty in the ranking process in the Failure Modes and Effect Analysis (FMEA) technique. Initially, significant MEs are identified by three groups of qualified experts (doctors, nurses, and pharmacists). Afterward, for assigning weights to the risk factors,

Indexed as

Healthcare Failure Mode and Effect AnalysisHumansMedication ErrorsReproducibility of ResultsUncertainty

Identifiers

PMID33868619
PMCPMC8032513

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.