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Factors associated with β-blocker initiation and discontinuation in a population-based cohort of seniors newly diagnosed with heart failure

Overview of attention for article published in Patient preference and adherence, September 2016
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Title
Factors associated with β-blocker initiation and discontinuation in a population-based cohort of seniors newly diagnosed with heart failure
Published in
Patient preference and adherence, September 2016
DOI 10.2147/ppa.s109054
Pubmed ID
Authors

Catherine Girouard, Jean-Pierre Grégoire, Paul Poirier, Jocelyne Moisan

Abstract

β-Blockers (bisoprolol, carvedilol, and metoprolol) are the cornerstone of heart failure (HF) management. The incidence rate of β-blocker initiation and discontinuation and their associated factors among seniors with a first HF diagnosis were assessed. A population-based inception cohort study that included all individuals aged ≥65 years with a first HF diagnosis in Quebec was conducted. β-Blockers initiation among 91,131 patients who were not using β-blockers at the time of HF diagnosis and discontinuation among those who initiated a β-blocker after HF diagnosis were assessed. Stepwise Cox regression analyses were used to calculate hazard ratios (HR) and to identify factors associated with β-blocker initiation and discontinuation. After HF diagnosis, 32,989 (36.2%) individuals initiated a β-blocker. Of these, 15,408 (46.7%) discontinued their β-blocker during the follow-up. Individuals more likely to initiate a β-blocker were those diagnosed in a recent calendar year (2009: HR, 2.11; 95% confidence interval [CI], 2.00-2.23) and diagnosed by a cardiologist (HR, 1.38; 95% CI, 1.34-1.42). Individuals less likely to initiate were those aged ≥90 years (HR, 0.65; 95% CI, 0.61-0.68) and those with chronic obstructive pulmonary disease (HR, 0.66; 95% CI, 0.64-0.68). Individuals more likely to discontinue were those with more than nine medical consultations (HR, 1.14; 95% CI, 1.10-1.18) and those with dementia (HR, 1.13; 95% CI, 1.01-1.27). Individuals less likely to discontinue were those diagnosed in a recent calendar year (2009: HR 0.74; 95% CI, 0.65-0.82) and those exposed to another β-blocker before HF diagnosis (HR, 0.88; 95% CI, 0.85-0.91). Quebec seniors seem to be underexposed to β-blocker following HF diagnosis. Among those who initiate β-blocker use, discontinuation is high. Better understanding of the underlying causes is needed to help target interventions to improve the management of HF.

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The data shown below were collected from the profiles of 2 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 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 14%
Student > Postgraduate 3 10%
Other 2 7%
Lecturer 2 7%
Student > Master 2 7%
Other 5 17%
Unknown 11 38%
Readers by discipline Count As %
Medicine and Dentistry 5 17%
Psychology 2 7%
Pharmacology, Toxicology and Pharmaceutical Science 2 7%
Biochemistry, Genetics and Molecular Biology 1 3%
Linguistics 1 3%
Other 5 17%
Unknown 13 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 16 September 2016.
All research outputs
#17,816,222
of 22,888,307 outputs
Outputs from Patient preference and adherence
#1,170
of 1,606 outputs
Outputs of similar age
#244,070
of 337,404 outputs
Outputs of similar age from Patient preference and adherence
#58
of 76 outputs
Altmetric has tracked 22,888,307 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,606 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one is in the 19th percentile – i.e., 19% 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 337,404 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 76 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.