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Improving stroke prevention therapy for patients with atrial fibrillation in primary care: protocol for a pragmatic, cluster-randomized trial

Overview of attention for article published in Implementation Science, December 2016
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  • Good Attention Score compared to outputs of the same age (69th percentile)

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Title
Improving stroke prevention therapy for patients with atrial fibrillation in primary care: protocol for a pragmatic, cluster-randomized trial
Published in
Implementation Science, December 2016
DOI 10.1186/s13012-016-0523-2
Pubmed ID
Authors

Theresa M. Lee, Noah M. Ivers, Sacha Bhatia, Debra A. Butt, Paul Dorian, Liisa Jaakkimainen, Kori Leblanc, Dan Legge, Dante Morra, Alissia Valentinis, Laura Wing, Jacqueline Young, Karen Tu

Abstract

The prevalence of atrial fibrillation (AF) is growing as the population ages, and at least 15% of ischemic strokes are attributed to AF. However, many high-risk AF patients are not offered guideline-recommended stroke prevention therapy due to a variety of system, provider, and patient-level barriers. We will conduct a pragmatic, cluster-randomized controlled trial randomizing primary care clinics to test a "toolkit" of quality improvement interventions in primary care. In keeping with the recommendations of the chronic care model to simultaneously activate patients and facilitate proactive care by providers, the toolkit includes provider-focused strategies (education, audit and feedback, electronic decision support, and reminders) plus patient-directed strategies (educational letters and reminders). The trial will include two feedback cycles at baseline and approximately 6 months and a final data collection at approximately 12 months. The study will be powered to show a difference of 10% in the primary outcome of proportion of patients receiving guideline-recommended stroke prevention therapy. Analysis will follow the intention-to-treat principle and will be blind to treatment allocation. Unit of analysis will be the patient; models will use generalized estimating equations to account for clustering at the clinical level. Stroke prevention therapy using anticoagulation in patients with AF is known to reduce strokes by two thirds or more in clinical trials, but most studies indicate under-use of this treatment in real-world practice. If the toolkit successfully improves care for patients with AF, stakeholders will be engaged to facilitate broader application to maximize the potential to improve patient outcomes. The intervention toolkit tested in this project could also provide a model to improve quality of care for other chronic cardiovascular conditions managed in primary care. ClinicalTrials.gov ( NCT01927445 ). Registered August 14, 2014 at https://clinicaltrials.gov/ .

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The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 77 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 13%
Student > Master 9 12%
Student > Doctoral Student 9 12%
Student > Ph. D. Student 7 9%
Student > Bachelor 5 6%
Other 17 22%
Unknown 20 26%
Readers by discipline Count As %
Medicine and Dentistry 23 30%
Nursing and Health Professions 13 17%
Neuroscience 4 5%
Unspecified 2 3%
Psychology 2 3%
Other 9 12%
Unknown 24 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 December 2016.
All research outputs
#6,823,109
of 22,908,162 outputs
Outputs from Implementation Science
#1,146
of 1,722 outputs
Outputs of similar age
#123,930
of 416,044 outputs
Outputs of similar age from Implementation Science
#27
of 38 outputs
Altmetric has tracked 22,908,162 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 1,722 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.7. This one is in the 32nd percentile – i.e., 32% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 416,044 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.