Evidence map›Paper›PMID 35224547›Full record

ArticleJournal of the American College of Emergency Physicians open2022

Effectiveness of an algorithm-based care pathway for patients with non-valvular atrial fibrillation presenting to the emergency department.

Andrew Masica, Rachel Brown, Ali Farzad, John S Garrett, Kevin Wheelan, Hoa L Nguyen, Gerald O Ogola, Rustam Kudyakov, Brandy McDonald, Bethany Boyd and 2 more

Open access · goldAbstract read
In one paragraph

Article in Journal of the American College of Emergency Physicians open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 16% 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, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. The role of information systems in emergency department decision-making-a literature review.Journal of the American Medical Informatics Association : JAMIA · 2024
    Pooled it
  2. Article
  3. Article
  4. Review
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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

12 authors at 7 institutions in 1 country.

Andrew MasicaCenter for Clinical Effectiveness Baylor Scott & White Health Dallas Texas USA.ORCID https://orcid.org/0000-0003-2566-3444
Rachel BrownCenter for Clinical Effectiveness Baylor Scott & White Health Dallas Texas USA.
Ali FarzadTexas A&M College of Medicine Dallas Texas USA.
John S GarrettTexas A&M College of Medicine Dallas Texas USA.
Kevin WheelanBaylor Heart and Vascular Hospital Dallas Dallas Texas USA.
Hoa L NguyenCenter for Clinical Effectiveness Baylor Scott & White Health Dallas Texas USA.
Gerald O OgolaBaylor Scott & White Research Institute Dallas Texas USA.
Rustam KudyakovCenter for Clinical Effectiveness Baylor Scott & White Health Dallas Texas USA.
Brandy McDonaldCenter for Clinical Effectiveness Baylor Scott & White Health Dallas Texas USA.
Bethany BoydPfizer Inc. New York New York USA.
Avani PatelPfizer Inc. New York New York USA.
Craig DelaughterBaylor Heart and Vascular Hospital Fort Worth Fort Worth Texas USA.
Baylor Scott & White Health · USBaylor Jack and Jane Hamilton Heart and Vascular Hospital · USPfizer (United States) · USTexas A&M University System · USBaylor Medical Center at Garland · USUniversity of Chicago · USUniversity of Massachusetts Chan Medical School · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveAtrial fibrillation (AF) carries substantial morbidity and mortality. Evidence-based guidelines have been synthesized into emergency department (ED) AF care pathways, but the effectiveness and scalability of such approaches are not well established. We thus evaluated the impacts of an algorithmic care pathway for ED management of non-valvular AF (EDAFMP) on hospital use and care process measures.

methodsWe deployed a voluntary-use EDAFMP in 4 EDs (1 tertiary hospital, 1 cardiac hospital, 2 community hospitals) of an integrated delivery organization using a multifaceted implementation approach. We compared outcomes between patients with AF treated using the EDAFMP and historical and contemporaneous "usual care" controls, using a propensity-score adjusted generalized estimating equation. Patients with an index ED encounter for a primary visit reason of non-valvular AF (and no excluding concurrent diagnoses) were eligible for inclusion.

resultsPreimplementation (January 1, 2016-December 31, 2016), 628 AF patients were eligible; postimplementation (September 1, 2017-June 30, 2019), 1296, including 271 (20.9%) treated with the EDAFMP, were eligible. EDAFMP patients were less likely to be admitted than both historical (adjusted odds ratio [aOR], 95% confidence interval [CI]: 0.45, 0.29-0.71) and contemporaneous controls (aOR, 95%CI: 0.63, 0.46-0.86). ED visits and hospital readmissions over 90 days subsequent to index ED encounters were similar between postimplementation EDAFMP and usual care groups. EDAFMP patients were more likely to be prescribed anticoagulation (38% v. 5%,

conclusionEDAFMP use is associated with decreased hospital admission during an index ED encounter for non-valvular AF, and improved delivery of AF care processes.

Indexed as

atrial fibrillationclinical effectivenessclinical variabilityquality improvement

Identifiers

PMID35224547
PMCPMC8857555
OpenAlexW4213308223

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.