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Implementing a personalized medicine program in a community health system.

Lynn G Dressler1, Gillian C Bell1, Karl D Ruch1

  • 1Personalized Medicine Department, Mission Health, 9 Vanderbilt Park Drive, Asheville, NC 28803, USA.

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Summary

This study details a new personalized medicine program in rural healthcare, focusing on safe drug use based on genetic factors. A key success was removing codeine from pediatric use, improving patient safety in underserved populations.

Keywords:
community health systemdissemination scienceimplementation sciencepersonalized medicinepharmacogeneticspharmacogenomics

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Area of Science:

  • Pharmacogenomics
  • Rural Health
  • Personalized Medicine

Background:

  • Implementing personalized medicine in rural, underserved areas presents unique challenges.
  • The US FDA has identified specific drug-gene pairs with significant safety implications, particularly in non-oncology settings.

Purpose of the Study:

  • To describe the development and implementation of a de novo personalized medicine program.
  • To focus on the safe use of medications affected by genetic variations.
  • To address FDA-designated drug-gene pairs with black-box warnings.

Main Methods:

  • Focused on drug-gene pairs with FDA black-box warnings (codeine, clopidogrel, abacavir, carbamazepine).
  • Initiated policy change to remove codeine from pediatric formulary.
  • Conducted pilot studies for primary care provider education on pharmacogenetic testing.
  • Established a consultative outpatient clinic for patient pharmacogenetic services.

Main Results:

  • Successful policy change regarding codeine use in pediatrics.
  • Increased familiarity of primary care providers with pharmacogenetic testing.
  • Development of a patient-facing consultative clinic.

Conclusions:

  • Personalized medicine programs can be successfully implemented in rural health systems.
  • Policy changes, alongside education and clinical services, are crucial for safe pharmacogenetic integration.
  • Addressing FDA-warned drug-gene pairs is a vital first step for non-oncology pharmacogenomics.