Evidence map›Paper›PMID 41494752›Full record

ArticleBMJ open quality2026

Enhancing adherence to guideline-directed use of anticoagulant therapy in atrial fibrillation: a triad of quality improvement interventions in an academic outpatient setting.

Kun Xiang, Asinamai M Ndai, Rachel Reise, Eric I Rosenberg, John N Catanzaro, Anne Marie Smith, Michelle Moore, Ted Singer, Margery Tamas, Marcia Jackson and 3 more

Abstract read
In one paragraph

Article in BMJ open quality, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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.

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

13 authors.

Kun XiangCollege of Medicine Department of Medicine Cardiology Division, University of Florida Health, Gainesville, Florida, USA kxcardiology@gmail.com.ORCID 0000-0002-8703-7337
Asinamai M NdaiCollege of Pharmacy, University of Florida Health, Gainesville, Florida, USA.
Rachel ReiseCollege of Pharmacy, University of Florida Health, Gainesville, Florida, USA.
Eric I RosenbergCollege of Medicine Department of Internal Medicine, University of Florida Health, Gainesville, Florida, USA.ORCID 0000-0002-5396-0422
John N CatanzaroDepartment of Cardiovascular Sciences, East Carolina University, Greenville, North Carolina, USA.
Anne Marie SmithQuality Improvement, Heart Rhythm Society, Washington, District of Columbia, USA.
Michelle MooreQuality Improvement, Heart Rhythm Society, Washington, District of Columbia, USA.
Ted SingerPeerView Institute for Medical Education, PeerView Institute, New York, New York, USA.
Margery TamasPeerView Institute for Medical Education, PeerView Institute, New York, New York, USA.ORCID 0000-0003-4465-974X
Marcia JacksonCME by Design, Santee, South Carolina, USA.
Eric DietrichCollege of Pharmacy, University of Florida Health, Gainesville, Florida, USA.
Jamie ContiCollege of Medicine Department of Medicine, University of Florida Health, Gainesville, Florida, USA.
Marvin DewarCollege of Medicine UF Health Physicians, University of Florida Health, Gainesville, Florida, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAnticoagulation for stroke prevention is often recommended for patients with non-valvular atrial fibrillation (AF), yet many eligible patients do not receive guideline-concordant anticoagulation. Prior quality improvement (QI) initiatives to improve anticoagulation in AF have had mixed results.

methodsPreventing Preventable Strokes: Scalability used a triad of interventions to increase the number of eligible patients with AF receiving guideline-concordant anticoagulation, including (1) a best practice alert integrated with the electronic health record, (2) clinician education and (3) patient communication about the anticoagulation therapy that encouraged shared decision-making with clinicians. These interventions were conducted in primary care and cardiology outpatient clinics at (University of Florida Health). Patient-level data were collected during a 6-month intervention period and compared with a 6-month historical control period. Generalised estimating equations with a logistic link were used to estimate the odds of anticoagulant use, adjusting for demographic and clinical characteristics.

resultsA total of 3274 individuals were included during the intervention period and 3200 during the preintervention period. The average anticoagulation rate increased from 75.7% to 79.2% across the two periods. In the fully adjusted model, patients in the intervention period had significantly higher odds of anticoagulant use compared with the preintervention period (adjusted OR (aOR) 1.13, 95% CI 1.05 to 1.21, p=0.0007). MyChart activation (aOR 1.38, 95% CI 1.19 to 1.61, p<0.0001) was also associated with increased anticoagulant use. Older age and higher CHA

conclusionsA triad of QI interventions at the practice, clinician and patient levels increased guideline-concordant anticoagulation use among patients with AF in half of the primary care and cardiology clinics in the University of Florida Health system.

Indexed as

AnticoagulantsAtrial FibrillationGuideline AdherenceAgedAged, 80 and overFemaleFloridaHumansMaleMiddle AgedQuality ImprovementStrokeAnticoagulantsHealthcare quality improvementMedical educationPatient educationPRIMARY CARE

Identifiers

PMID41494752
PMCPMC12778314

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