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Initial assessment of the benefits of implementing pharmacogenetics into the medical management of patients in a long-term care facility

Overview of attention for article published in Pharmacogenomics and Personalized Medicine, January 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)

Mentioned by

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4 news outlets
twitter
11 X users
facebook
3 Facebook pages

Citations

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34 Dimensions

Readers on

mendeley
72 Mendeley
Title
Initial assessment of the benefits of implementing pharmacogenetics into the medical management of patients in a long-term care facility
Published in
Pharmacogenomics and Personalized Medicine, January 2016
DOI 10.2147/pgpm.s93480
Pubmed ID
Authors

Juan-Sebastian Saldivar, David Taylor, Elaine A Sugarman, Ali Cullors, Jorge A Garces, Kahuku Oades, Joel Centeno

Abstract

The health care costs associated with prescription drugs are enormous, particularly in patients with polypharmacy (taking more than five prescription medications), and they continue to grow annually. The evolution of pharmacogenetics has provided clinicians with a valuable tool that allows for a smarter, more fine-tuned approach to treating patients for a number of clinical conditions. Applying a pharmacogenetics approach to the medical management of patients can provide a significant improvement to their care, result in cost savings by reducing the use of ineffective drugs, and decrease overall health care utilization. AltheaDx has begun a study to look at the benefits associated with incorporating pharmacogenetics into the medical management of patients who are on five or more medications. Applying pharmacogenetic guided PharmD recommendations across this patient population resulted in the elimination and/or replacement of one to three drugs, for 50% of the polypharmacy patient population tested, and an estimated US$621 in annual savings per patient. The initial assessment of this study shows that there is a clear opportunity for concrete health care savings solely from prescription drug management when incorporating pharmacogenetic testing.

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 1%
Unknown 71 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 15%
Student > Master 11 15%
Student > Bachelor 9 13%
Other 9 13%
Student > Ph. D. Student 7 10%
Other 14 19%
Unknown 11 15%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 20 28%
Pharmacology, Toxicology and Pharmaceutical Science 14 19%
Medicine and Dentistry 8 11%
Agricultural and Biological Sciences 6 8%
Nursing and Health Professions 4 6%
Other 6 8%
Unknown 14 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 42. 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 19 October 2016.
All research outputs
#1,001,508
of 25,748,735 outputs
Outputs from Pharmacogenomics and Personalized Medicine
#1
of 1 outputs
Outputs of similar age
#16,937
of 401,795 outputs
Outputs of similar age from Pharmacogenomics and Personalized Medicine
#1
of 1 outputs
Altmetric has tracked 25,748,735 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 41.6. This one scored the same or higher as 0 of them.
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 401,795 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them