Evidence map›Paper›PMID 35656987›Full record

ArticleJournal of the American Heart Association2022

Clinician Responses to a Clinical Decision Support Advisory for High Risk of Torsades de Pointes.

Tyler Gallo, C William Heise, Raymond L Woosley, James E Tisdale, Malinda S Tan, Sheila M Gephart, Corneliu C Antonescu, Daniel C Malone

Open access · goldAbstract read
In one paragraph

Article in Journal of the American Heart Association, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 32% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Observational
  5. Article
  6. 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

8 authors at 5 institutions in 1 country.

Tyler GalloDivision of Clinical Data Analytics and Decision Support University of Arizona College of Medicine-Phoenix AZ.
C William HeiseDivision of Clinical Data Analytics and Decision Support University of Arizona College of Medicine-Phoenix AZ.ORCID 0000-0002-4795-1060
Raymond L WoosleyDivision of Clinical Data Analytics and Decision Support University of Arizona College of Medicine-Phoenix AZ.ORCID 0000-0002-2588-328X
James E TisdaleDepartment of Pharmacy Practice College of Pharmacy Purdue University Indianapolis IN.ORCID 0000-0002-2117-9463
Malinda S TanCollege of Pharmacy University of Utah Salt Lake City UT.
Sheila M GephartCommunity and Health Systems Science Division College of Nursing University of Arizona Tucson AZ.
Corneliu C AntonescuBannerHealth Greeley CO.ORCID 0000-0002-1345-1658
Daniel C MaloneCollege of Pharmacy University of Utah Salt Lake City UT.ORCID 0000-0002-5006-9394
University of Arizona · USUniversity of Utah · USArizona Department of Education · USBanner Health · USUniversity of Indianapolis · US

Funding

Dissemination and Implementation of QT Risk Clinical Decision SupportR18HS026662 · AHRQ · UNIVERSITY OF UTAH · PI MALONE, DANIEL C · 2019 to 2020
$669k
AHRQ HHS R18 HS026662
6 · The paper itself

Abstract

Background Torsade de pointes (TdP) is a potentially fatal cardiac arrhythmia that is often drug induced. Clinical decision support (CDS) may help minimize TdP risk by guiding decision making in patients at risk. CDS has been shown to decrease prescribing of high-risk medications in patients at risk of TdP, but alerts are often ignored. Other risk-management options can potentially be incorporated in TdP risk CDS. Our goal was to evaluate actions clinicians take in response to a CDS advisory that uses a modified Tisdale QT risk score and presents management options that are easily selected (eg, single click). Methods and Results We implemented an inpatient TdP risk advisory systemwide across a large health care system comprising 30 hospitals. This CDS was programmed to appear when prescribers attempted ordering medications with a known risk of TdP in a patient with a QT risk score ≥12. The CDS displayed patient-specific information and offered relevant management options including canceling offending medications and ordering electrolyte replacement protocols or ECGs. We retrospectively studied the actions clinicians took within the advisory and separated by drug class. During an 8-month period, 7794 TdP risk advisories were issued. Antibiotics were the most frequent trigger of the advisory (n=2578, 33.1%). At least 1 action was taken within the advisory window for 2700 (34.6%) of the advisories. The most frequent action taken was ordering an ECG (n=1584, 20.3%). Incoming medication orders were canceled in 793 (10.2%) of the advisories. The frequency of each action taken varied by drug class (

Indexed as

Decision Support Systems, ClinicalLong QT SyndromeTorsades de PointesDNA-Binding ProteinsElectrocardiographyHumansRetrospective StudiesDNA-Binding Proteinsdecision support systems, clinicallong QT syndromeTorsades de Pointes

Identifiers

PMID35656987
PMCPMC9238706
OpenAlexW4281749100

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.