| Title |
Delivering pharmacogenetic testing in a primary care setting
|
|---|---|
| Published in |
Pharmacogenomics and Personalized Medicine, September 2013
|
| DOI | 10.2147/pgpm.s50598 |
| Pubmed ID | |
| Authors |
Rachel Mills, Deepak Voora, Bruce Peyser, Susanne B Haga |
| Abstract |
Pharmacogenetic testing refers to a type of genetic test to predict a patient's likelihood to experience an adverse event or not respond to a given drug. Despite revision to several labels of commonly prescribed drugs regarding the impact of genetic variation, the use of this testing has been limited in many settings due to a number of factors. In the primary care setting, the limited office time as well as the limited knowledge and experience of primary care practitioners have likely attributed to the slow uptake of pharmacogenetic testing. This paper provides talking points for primary care physicians to discuss with patients when pharmacogenetic testing is warranted. As patients and physicians become more familiar and accepting of pharmacogenetic testing, it is anticipated that discussion time will be comparable to that of other clinical tests. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 25% |
| United States | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 3% |
| Unknown | 91 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 21 | 22% |
| Researcher | 18 | 19% |
| Student > Master | 15 | 16% |
| Student > Ph. D. Student | 11 | 12% |
| Student > Doctoral Student | 6 | 6% |
| Other | 19 | 20% |
| Unknown | 4 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 26 | 28% |
| Pharmacology, Toxicology and Pharmaceutical Science | 22 | 23% |
| Biochemistry, Genetics and Molecular Biology | 16 | 17% |
| Agricultural and Biological Sciences | 14 | 15% |
| Psychology | 3 | 3% |
| Other | 6 | 6% |
| Unknown | 7 | 7% |
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 25 February 2014.
All research outputs
#14,714,626
of 25,748,735 outputs
Outputs from Pharmacogenomics and Personalized Medicine
#1
of 1 outputs
Outputs of similar age
#111,711
of 213,412 outputs
Outputs of similar age from Pharmacogenomics and Personalized Medicine
#1
of 1 outputs
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