ArticleThe Canadian journal of hospital pharmacy
Article in The Canadian journal of hospital pharmacy. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed.
- Article
- Article
- Application of Failure Mode, Effects, and Criticality Analysis to the Medication-Use Process for Temperature-Sensitive Drugs in a University Hospital.The Canadian journal of hospital pharmacy · 2022Article
- Using risk analysis to anticipate and mitigate failures during a hospital pharmacy relocation.European journal of hospital pharmacy : science and practice · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundFailure mode, effects, and criticality analysis (FMECA) is a systematic and proactive risk analysis method to determine major failures in complex processes.
objectiveTo identify all articles involving the use of failure mode and effects analysis (FMEA), FMECA, or FMECA in health care within the medication use system. DATA SOURCES STUDY SELECTION AND DATA EXTRACTION: The MEDLINE database was searched, for the period January 1990 to January 2017. The search included studies using the FMECA method, in part or in full, and dealing with one or several components of the medication use system. The reference lists of articles identified in the initial search were checked manually for additional pertinent references. DATA SYNTHESIS: The researchers identified 171 articles, and retained 39 for analysis: 32 describing use of the FMEA or FMECA approach and 7 describing use of the FMECA in health care approach. They identified between 4 to 378 failure modes, according to the published studies. Among the 39 articles, 10 reported a pre- and post-implementation analysis of corrective measures. In 4 of those 10 articles, the analysis was conducted on a theoretical basis, that is, before the corrective measures were actually implemented. Using the articles retained for analysis, a summary table was developed with the following elements: publication year, main author, country, primary objective, secondary objectives, descriptions of both method and results, and comments. The summary table gave the opportunity to comment on the use of the FMECA-type analysis within the medication use system.
conclusionsThis literature review included 39 published articles using an FMEA, FMECA, or FMECA in health care approach within the medication use system. Most studies used either the FMEA or the FMECA approach, whereas the FMECA in health care approach was used only rarely. Only a minority of studies assessed the effects of corrective measures that were implemented. This overall approach allows for mapping of a care process, determination of failure modes, and prioritization of corrective measures. Its use for the assessment of the medication use system should be promoted.
Indexed as
Identifiers
30626984PMC6306183What OpenQuestion holds
Registered trials
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.