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An integrated general practice and pharmacy-based intervention to promote the use of appropriate preventive medications among individuals at high cardiovascular disease risk: protocol for a cluster…

Overview of attention for article published in Implementation Science, September 2016
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4 X users

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9 Dimensions

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108 Mendeley
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Title
An integrated general practice and pharmacy-based intervention to promote the use of appropriate preventive medications among individuals at high cardiovascular disease risk: protocol for a cluster randomized controlled trial
Published in
Implementation Science, September 2016
DOI 10.1186/s13012-016-0488-1
Pubmed ID
Authors

Adina Hayek, Rohina Joshi, Tim Usherwood, Ruth Webster, Baldeep Kaur, Bandana Saini, Carol Armour, Ines Krass, Tracey-Lea Laba, Christopher Reid, Louise Shiel, Charlotte Hespe, Fred Hersch, Stephen Jan, Serigne Lo, David Peiris, Anthony Rodgers, Anushka Patel

Abstract

Cardiovascular diseases (CVD) are responsible for significant morbidity, premature mortality, and economic burden. Despite established evidence that supports the use of preventive medications among patients at high CVD risk, treatment gaps remain. Building on prior evidence and a theoretical framework, a complex intervention has been designed to address these gaps among high-risk, under-treated patients in the Australian primary care setting. This intervention comprises a general practice quality improvement tool incorporating clinical decision support and audit/feedback capabilities; availability of a range of CVD polypills (fixed-dose combinations of two blood pressure lowering agents, a statin ± aspirin) for prescription when appropriate; and access to a pharmacy-based program to support long-term medication adherence and lifestyle modification. Following a systematic development process, the intervention will be evaluated in a pragmatic cluster randomized controlled trial including 70 general practices for a median period of 18 months. The 35 general practices in the intervention group will work with a nominated partner pharmacy, whereas those in the control group will provide usual care without access to the intervention tools. The primary outcome is the proportion of patients at high CVD risk who were inadequately treated at baseline who achieve target blood pressure (BP) and low-density lipoprotein cholesterol (LDL-C) levels at the study end. The outcomes will be analyzed using data from electronic medical records, utilizing a validated extraction tool. Detailed process and economic evaluations will also be performed. The study intends to establish evidence about an intervention that combines technological innovation with team collaboration between patients, pharmacists, and general practitioners (GPs) for CVD prevention. Australian New Zealand Clinical Trials Registry ACTRN12616000233426.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 <1%
Tanzania, United Republic of 1 <1%
Unknown 106 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 15%
Student > Master 11 10%
Student > Bachelor 11 10%
Researcher 9 8%
Student > Doctoral Student 6 6%
Other 28 26%
Unknown 27 25%
Readers by discipline Count As %
Medicine and Dentistry 25 23%
Nursing and Health Professions 13 12%
Pharmacology, Toxicology and Pharmaceutical Science 12 11%
Psychology 6 6%
Business, Management and Accounting 4 4%
Other 15 14%
Unknown 33 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 28 September 2016.
All research outputs
#12,942,397
of 23,341,064 outputs
Outputs from Implementation Science
#1,294
of 1,729 outputs
Outputs of similar age
#158,388
of 323,183 outputs
Outputs of similar age from Implementation Science
#18
of 26 outputs
Altmetric has tracked 23,341,064 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,729 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.8. This one is in the 23rd percentile – i.e., 23% 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 323,183 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 50% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.