Can Pharmocogenomic Testing Improve Medication Adherence?
Poor medication adherence is a well-documented problem. Approximately 50% of patients do not take their medications as prescribed. Non-adherence increases as comorbidity and the number of medications increase. Medication non-adherence is directly linked to increased morbidity, mortality, and overall healthcare costs. Improved personalization of medication therapy can significantly increase patient adherence as compared to a “one-size-fits-all” prescribing paradigm.
Multiple factors contribute to medication non-adherence, including limited efficacy, undesirable side effects, high cost, and the passive nature typical of most patients’ role in selecting medication regimens. Personalizing a patient’s regimen for their specific medical situation, lifestyle, and genetics will certainly improve efficacy, and mitigate avoidable side effects. Equally important, however, is the resulting increase in the patient’s confidence in the medication regimen, translating to improved adherence. Clear communication of the reasons for choosing one medication over another increases patients’ ownership of, and active participation in, their therapy selection and compliance. Increased knowledge and understanding improves confidence in both the prescribed therapy, and the therapy prescriber.
By combining comprehensive medication therapy management with up-to-date pharmacogenomic analysis, DecisionRx gives patients and prescribers the information necessary to make highly individualized drug selection and dosing decisions. Unlike conventional trial-and-error prescribing, DecisionRx helps clinicians ensure that their patients receive the optimal regimen for them, at the earliest possible opportunity. The DecisionRx risk scoring methodology, combined with expert interpretation and guidance from our highly trained pharmacists, makes it easy for clinicians to evaluate comparative risk of alternative drug regimens, and communicate clearly with their patients, resulting in improved adherence, outcomes, and healthcare cost.