| Title |
Academic and professional pharmacy education: a pharmacogenomics certificate training program
|
|---|---|
| Published in |
Personalized Medicine, November 2015
|
| DOI | 10.2217/pme.15.31 |
| Pubmed ID | |
| Authors |
David F Kisor, David R Bright, Jack Chen, Thomas R Smith |
| Abstract |
The aim of this study was to evaluate a pharmacogenomics certificate training program relative to pharmacist competencies in basic genetic concepts, genetics and disease, pharmacogenetics/pharmacogenomics and ethical, legal and social implication. Participants, including pharmacists, pharmacy students and pharmacy educators completed a survey related to to the competency statements. Following the pre-program survey, participants completed a 6-week home self-study with subject matter including basic science (three chapters) and clinical application of pharmacogenomics (eight chapters). The participants completed a quiz for each of the self-study chapters. Following the self-study, participants completed a day-long, 7-h live program which included a review of the competency statements and counseling sessions with seven different simulated patients (primarily pharmacy students). Participants then completed a post-program survey which included the same items as the pre-program survey. Specifically, for the pharmacist participants, the average score of the self-study quizzes was 91%. For the pharmacists specifically, there was a statistically significant increase in self-assessed perception of competence related to pharmacogenomics. Additionally, it was observed that recommendations related to specific drug-gene interactions for the simulated patients were addressed correctly 95% of the time across all participant-patient encounters. Self-study and a live, interactive component in the certificate training program led to increased self-understanding of defined pharmacogenomics competencies. Additionally, pharmacy students, in the role of simulated patients gained knowledge during the live component of the program. This type of program, especially if made available through electronic-based platforms can serve to educate pharmacists and increase the uptake of pharmacogenomics in various healthcare settings. |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 36 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 3 | 8% |
| Student > Ph. D. Student | 3 | 8% |
| Researcher | 3 | 8% |
| Student > Master | 3 | 8% |
| Student > Bachelor | 3 | 8% |
| Other | 10 | 28% |
| Unknown | 11 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 9 | 25% |
| Nursing and Health Professions | 6 | 17% |
| Medicine and Dentistry | 5 | 14% |
| Computer Science | 1 | 3% |
| Agricultural and Biological Sciences | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 12 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 06 November 2015.
All research outputs
#4,840,953
of 25,393,528 outputs
Outputs from Personalized Medicine
#103
of 557 outputs
Outputs of similar age
#61,475
of 297,338 outputs
Outputs of similar age from Personalized Medicine
#8
of 19 outputs
Altmetric has tracked 25,393,528 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 557 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one has done well, scoring higher than 78% of its peers.
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 297,338 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.