Evidence map›Paper›PMID 35177534›Full record

ArticleEuropean journal of hospital pharmacy : science and practice2023

Analysis of medication-related triggers to determine adverse drug events.

Melissa Augustino, Meghan Rowcliffe, Agnes Feemster, Jacob Smith, Rosemary Duncan

Open access · greenAbstract read
In one paragraph

Article in European journal of hospital pharmacy : science and practice, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.5field-weighted citation impact, top 37% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 3 institutions in 1 country.

Melissa AugustinoDepartment of Pharmacy, The Johns Hopkins Hospital, Baltimore, Maryland, USA.
Meghan RowcliffeDepartment of Pharmacy, The Johns Hopkins Hospital, Baltimore, Maryland, USA.
Agnes FeemsterDepartment of Pharmacy, The Johns Hopkins Hospital, Baltimore, Maryland, USA afeemster@rx.umaryland.edu.ORCID 0000-0001-9323-6853
Jacob SmithDepartment of Pharmacy, The Johns Hopkins Hospital, Baltimore, Maryland, USA.
Rosemary DuncanDepartment of Pharmacy, The Johns Hopkins Hospital, Baltimore, Maryland, USA.
Johns Hopkins Hospital · USUniversity of Maryland, Baltimore · USUniversity of Pennsylvania Health System · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeVoluntary event reporting systems continue to be the most common method used to identify adverse events in most US hospitals; however, this method fails to capture more than 90% of adverse drug events (ADEs). The purpose of this study is to examine which medication-related triggers have the highest positive predictive values (PPV) for detecting ADEs at a large academic medical centre.

methodsA 1-year, single-centre, retrospective quality improvement study was conducted to assess the PPV of four medication-related triggers: flumazenil, naloxone, glucose <70 mg/dL or dextrose 50%. Retrospective chart review was conducted on a random sample of eligible patients to establish if an ADE occurred and determine its preventability. Assessed triggers were also compared against the hospital's voluntary event reporting system to determine whether the events were previously reported.

resultsA total of 161 triggers were reviewed. PPV values for detection of ADEs were 0.55, 0.58, 0.76 and 0.68 for flumazenil, naloxone, glucose <70 mg/dL and dextrose 50%, respectively. PPV values for detection of preventable ADEs were 0.09, 0.16, 0.32 and 0.34 for flumazenil, naloxone, glucose <70 mg/dL and dextrose 50%, respectively. Of the 107 ADEs identified, three events were reported through the hospital's voluntary event reporting system (2.8%).

conclusionsTrigger tools successfully detected both preventable and non-preventable ADEs. Events detected using trigger tools are unlikely to be reported through voluntary event reporting systems; therefore, trigger tools can serve as a useful adjunct for adverse event detection.

Indexed as

Drug-Related Side Effects and Adverse ReactionsMedication ErrorsAdverse Drug Reaction Reporting SystemsFlumazenilGlucoseHumansNaloxoneRetrospective StudiesFlumazenilGlucoseNaloxonehealth caremedical errorspharmacy administrationquality assurancequality of health caresafety

Identifiers

PMID35177534
PMCPMC9986914
OpenAlexW4213037584

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.