Evidence map›Paper›PMID 35218727›Full record

ArticleAmerican heart journal2022

Randomized evaluation of decision support interventions for atrial fibrillation: Rationale and design of the RED-AF study.

Aubrey E Jones, Madeleine M McCarty, Juan P Brito, Peter A Noseworthy, Kerri L Cavanaugh, Kenzie A Cameron, Geoffrey D Barnes, Benjamin A Steinberg, Daniel M Witt, George H Crossley and 13 more

Abstract readClinical Trial Protocol
In one paragraph

Article in American heart journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
–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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Guideline
  2. Guideline
  3. Trial
  4. Trial
  5. Trial
  6. Review
  7. JACC. Advances · 2024
    Review
  8. 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

23 authors.

Aubrey E JonesDepartment of Population Health Sciences, University of Utah School of Medicine, SLC, UT.
Madeleine M McCartyDepartment of Population Health Sciences, University of Utah School of Medicine, SLC, UT.
Juan P BritoKnowledge and Evaluation Research (KER) Unit, Mayo Clinic, Rochester, MN.
Peter A NoseworthyKnowledge and Evaluation Research (KER) Unit, Mayo Clinic, Rochester, MN; Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN.
Kerri L CavanaughDepartment of Medicine, Division of Nephrology & Hypertension, Vanderbilt University Medical Center, Nashville, TN.
Kenzie A CameronDepartment of Medicine, Division of General Internal Medicine and Geriatrics, Northwestern University, Feinberg School of Medicine, Chicago, IL.
Geoffrey D BarnesDivision of Cardiovascular Medicine, Department of Internal Medicine, University of Michigan, Ann Arbor, MI.
Benjamin A SteinbergDivision of Cardiovascular Medicine, University of Utah School of Medicine, SLC, UT.
Daniel M WittDepartment of Pharmacotherapy, University of Utah College of Pharmacy, Salt Lake City, UT.
George H CrossleyDepartment of Medicine, Division of Cardiology, Vanderbilt University Medical Center, Nashville, TN.
Rod PassmanDepartment of Medicine, Division of Cardiology, Northwestern University, Feinberg School of Medicine, Chicago, IL.
Preeti KansalDepartment of Medicine, Division of Cardiology, Northwestern University, Feinberg School of Medicine, Chicago, IL.
Ian HargravesKnowledge and Evaluation Research (KER) Unit, Mayo Clinic, Rochester, MN.
Monika SchmidtDepartment of Medicine, US Department of Veterans Affairs, Nashville, TN.
Elizabeth JacksonDivision of Cardiovascular Disease, University of Alabama Birmingham, Birmingham, AL.
Adriana GuzmanDepartment of Medicine, Division of General Internal Medicine and Geriatrics, Northwestern University, Feinberg School of Medicine, Chicago, IL.
Anthony AriottiDepartment of Population Health Sciences, University of Utah School of Medicine, SLC, UT.
Mandy L PershingDepartment of Population Health Sciences, University of Utah School of Medicine, SLC, UT.
Jennifer HerrickDepartment of Internal Medicine, Division of Epidemiology, University of Utah School of Medicine, SLC, UT.
Victor M MontoriKnowledge and Evaluation Research (KER) Unit, Mayo Clinic, Rochester, MN.
Angela FagerlinDepartment of Population Health Sciences, University of Utah School of Medicine, SLC, UT; VA Informatics Decision-Enhancement and Analytic Sciences (IDEAS) Center for Innovation, Salt Lake City, UT.
Elissa M OzanneDepartment of Population Health Sciences, University of Utah School of Medicine, SLC, UT. Electronic address: Elissa.ozanne@hsc.utah.edu.
STEP-UP AFIB Writing Group

Funding

Utah Center for Clinical and Translational ScienceUL1TR002538 · NCATS · UNIVERSITY OF UTAH · PI HESS, RACHEL, MAJERSIK, JENNIFER JUHL · 2018 to 2022
$26.0M
Optimizing Outcomes for Patients with Heart Failure and Atrial FibrillationK23HL143156 · NHLBI · UNIVERSITY OF UTAH · PI STEINBERG, BENJAMIN ADAM · 2018 to 2022
$951k
Developing an Implementation Strategy to Improve Peri-procedural Anticoagulation Management for Patients with Atrial FibrillationK01HL135392 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BARNES, GEOFFREY DOUGLAS · 2017 to 2021
$842k
AHRQ HHS R18 HS027960NCATS NIH HHS UL1 TR002538NHLBI NIH HHS K01 HL135392NHLBI NIH HHS K23 HL143156
6 · The paper itself

Abstract

backgroundShared decision making (SDM) improves the likelihood that patients will receive care in a manner consistent with their priorities. To facilitate SDM, decision aids (DA) are commonly used, both to prepare a patient before their clinician visit, as well as to facilitate discussion during the visit. However, the relative efficacy of patient-focused or encounter-based DAs on SDM and patient outcomes remains largely unknown. We aim to directly estimate the comparative effectiveness of two DA's on SDM observed in encounters to discuss stroke prevention strategies in patients with atrial fibrillation (AF).

methodsThe study aims to recruit 1200 adult patients with non-valvular AF who qualify for anticoagulation therapy, and their clinicians who manage stroke prevention strategies, in a 2x2 cluster randomized multi-center trial at six sites. Two DA's were developed as interactive, online, non-linear tools: a patient decision aid (PDA) to be used by patients before the encounter, and an encounter decision aid (EDA) to be used by clinicians with their patients during the encounter. Patients will be randomized to PDA or usual care; clinicians will be randomized to EDA or usual care.

resultsPrimary outcomes are quality of SDM, patient decision making, and patient knowledge. Secondary outcomes include anticoagulation choice, adherence, and clinical events.

conclusionThis trial is the first randomized, head-to-head comparison of the effects of an EDA versus a PDA on SDM. Our results will help to inform future SDM interventions to improve patients' AF outcomes and experiences with stroke prevention strategies.

Indexed as

Atrial FibrillationStrokeAdultAnticoagulantsDecision MakingDecision Support TechniquesHumansMulticenter Studies as TopicPatient ParticipationRandomized Controlled Trials as TopicAnticoagulants

Identifiers

PMID35218727
PMCPMC11348720

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.