Using Pharmacogenetics to Identify Patients With Polypharmacy at Risk of Medication Adverse Effects
- Conditions
- Psychiatric Disorder
- Interventions
- Genetic: Pharmacogentic Analysis
- Registration Number
- NCT03748355
- Lead Sponsor
- Mayo Clinic
- Brief Summary
The Researchers are trying to learn more about how individuals break down and process medications based on their genes. The Researchers want to find out whether subjects will have fewer side effects if they take different medications based on their pharmacogenomics profile.
- Detailed Description
The Researchers are trying to learn more about how individuals break down and process medications based on their genes. The Researchers are doing this in order to assess the number of potential genotype-based drug interactions and side effects in patients with polypharmacy as well as to assess the number of potential individualized (based on the patient's genotype) drug interactions and side effects in these patients. After completing the OneOme genetic testing and relaying those results to the patients care team, the Researchers will then assess, at 30 days post-recommendations, whether the medication recommendations to reduce individualized drug interactions and adverse effects were followed, and (2) whether the adverse effects decrease compared to admission.
Patients will be recruited from the inpatient units listed in the inclusion criteria and, upon admission, each patient will complete a 24 item questionnaire measuring medication side effects, have a review of their medications for potential drug-drug and drug-genotype interactions (classified as low, medium or high risk), and then undergo the buccal swab to collect the DNA cells which will then be sent to OneOme for analysis. When the results are available, the study investigators will review the medications again for potential drug-drug and drug-genotype interactions and then communicate to the patients clinical team those results and whether medication changes are recommended to minimize the drug-drug and drug-genotype interactions.
Thirty days after the recommendations are communicated to the patient's clinical team, the patient will be contacted by phone. During this phone call, the following information will be obtained:
1. The patient's current medication list.
2. The patient's 24 item questionnaire measuring medication side effects.
3. The patient's one item self rating of improvement Once this phone call is completed, the research team will determine whether the medication recommendations were followed by the patient's clinical team, whether the adverse effects decreased compared to hospital admission, and whether the patient reported improvement.
Recruitment & Eligibility
- Status
- COMPLETED
- Sex
- All
- Target Recruitment
- 80
- Ages 18 and older
- Hospitalized on Generose 2E (Acute Care Psychiatry), 3E (Medical and Geriatric Psychiatry), or 3W (Mood Disorders Unit).
- A voluntary patient
- Having 5 or more medications (scheduled or as needed) on their medication list.
- Ability to give informed consent
- Patient with cognitive impairments such as moderate to severe dementia.
- Patients who do not communicate in English or cannot comprehend the rating scales used.
- Patients who have had pharmacogenetics testing performed within the previous 5 years.
Study & Design
- Study Type
- INTERVENTIONAL
- Study Design
- SINGLE_GROUP
- Arm && Interventions
Group Intervention Description Pharmacogenetic Analysis Pharmacogentic Analysis A pharmacogenetic analysis will be completed for each participant upon inclusion into the study
- Primary Outcome Measures
Name Time Method Reduction of Potential Drug Interactions 30 days Reduction of potential drug interactions risk measured by the numbers in low, medium and high categories.
- Secondary Outcome Measures
Name Time Method Reduction of Side Effects 30 days Reduction of side effects as measured by side effects rating scale. Improvement of patient's self-assessment via the questionnaire item.
Trial Locations
- Locations (1)
Mayo Clinic
🇺🇸Rochester, Minnesota, United States