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
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 8 | 73% |
Unknown | 3 | 27% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 8 | 73% |
Practitioners (doctors, other healthcare professionals) | 3 | 27% |
Mendeley readers
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% |