Introducing pharmacogenetic testing with clinical decision support into primary care: a feasibility study

Area of Science:

• Pharmacogenomics
• Clinical Decision Support Systems
• Primary Care Medicine

Background:

• Inappropriate prescribing leads to adverse drug events, increasing patient morbidity and mortality.
• Integrating genetic information into primary care medication practices offers a potential solution.
• The study aimed to evaluate the feasibility of obtaining and genotyping saliva samples and the utilization of a pharmacogenetic decision support tool.

Purpose of the Study:

• To assess the ability to obtain and genotype saliva samples in primary care settings.
• To determine the utilization rates of a clinical decision support tool integrated with pharmacogenetic data.
• To evaluate the potential for personalized prescribing in primary care.

Main Methods:

• A cohort study was conducted in 6 primary care settings involving 191 adult patients.
• Saliva samples were collected, and DNA was extracted, purified, and genotyped.
• Pharmacogenetic reports were linked to an evidence-based prescribing decision support system.

Main Results:

• 99% of patients were successfully linked with pharmacogenetic reports to the decision support program.
• 96.8% of samples yielded at least one actionable genotype for included medications.
• The decision support system was utilized 236 times by clinicians over a 3-month period.

Conclusions:

• Primary care clinicians can effectively collect saliva samples for pharmacogenetic analysis.
• A decision support system incorporating pharmacogenetic data can facilitate personalized prescribing in primary care.
• This approach holds promise for improving medication safety and efficacy.