Related Experiment Video
Updated: Dec 25, 2025
05:10
Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System
Published on: December 11, 2016
10.1K
Pharmacogenomic-Based Decision Support to Predict Adherence to Medications
Carlton Christian1, Brittany A Borden2, Keith Danahey2,3
1The University of Chicago Pritzker School of Medicine, Chicago, Illinois, USA.
Clinical Pharmacology and Therapeutics
|April 3, 2020
Summary
Pharmacogenomic-informed care did not improve overall medication adherence. However, prescribing higher-risk pharmacogenomic medications was linked to lower adherence, suggesting pharmacogenomic data can predict adherence.
Area of Science:
- Pharmacogenomics
- Clinical Pharmacology
- Personalized Medicine
Background:
- Poor medication adherence negatively impacts disease outcomes.
- Pharmacogenomics offers a potential strategy to improve patient adherence.
- This study investigated the impact of pharmacogenomic-informed care on adherence.
Purpose of the Study:
- To determine if pharmacogenomic-informed care increases medication adherence.
- To assess the relationship between pharmacogenomic information and adherence.
- To identify if composite pharmacogenomic data predicts adherence.
Main Methods:
- Prospective case-control study with preemptive pharmacogenomic genotyping.
- Analysis of over 6,000 e-prescriptions for 39 medications.
- Comparison of composite adherence (mPDC) between cases and controls, and by genomic risk.
Main Results:
- No significant difference in mean adherence (mPDC) was observed between pharmacogenomic-guided care and standard care.
- Patients receiving higher-risk pharmacogenomic medications were more likely to have low adherence (OR=2.4, P<0.05).
- Composite pharmacogenomic information was found to predict adherence.
Conclusions:
- Pharmacogenomic-informed care did not universally improve medication adherence in this study.
- Prescribing based on pharmacogenomic risk stratification may identify patients at higher risk for non-adherence.
- Composite pharmacogenomic data serves as a predictor of medication adherence.
Related Concept Videos
01:01Dosage Regimens: Partial Pharmacokinetic Parameters
98
It is not uncommon for complete drug pharmacokinetic profiles to remain elusive in pharmacokinetics. This necessitates certain educated assumptions by pharmacokineticists to determine appropriate dosage regimens without comprehensive pharmacokinetic data from animal or human studies. One prevalent assumption is setting the bioavailability factor, denoted as F, to 1 or 100%. This assumption caters to the scenario where a drug doesn't achieve full systemic absorption, resulting in the patient...
98
01:24Dosage Regimen: Individualization
120
Individualization in dosing regimens is the customization of medication doses for individual patients. Its necessity arises from the goal of maximizing therapeutic benefits while minimizing risks. This approach is pivotal because human responses to drugs can vary widely; what is effective for one person may be inadequate or excessive for another. Interpatient (intersubject) variability refers to differences in drug responses between individuals, while intrapatient (intrasubject) variability...
120
01:15Drug Dosing: Geriatric Patients
168
Elderly individuals encompass a diverse population with varying degrees of age-related physiological changes. Defining the elderly presents challenges, as the geriatric population is often arbitrarily categorized as individuals older than 65. However, many individuals in this group lead active and healthy lives, with an increasing number surpassing 85 years and falling into the older elderly category. Physiological changes associated with aging impact performance capacity and homeostatic...
168
01:29Therapeutic Drug Monitoring: Affecting Factors
131
Therapeutic Drug Monitoring (TDM) is the clinical practice of measuring specific drug levels in a patient's blood or body tissues to manage and optimize therapy. TDM is crucial for drugs with narrow therapeutic windows, like warfarin and phenytoin, where incorrect doses can lead to treatment failure or severe side effects. This monitoring ensures the dosage administered is within a safe and effective range. The factors affecting therapeutic drug monitoring include:Patient-Specific Factors:a.
131
01:12Analysis of Population Pharmacokinetic Data
611
Analysis of population pharmacokinetic data involves studying the behavior of drugs within diverse populations to understand their pharmacokinetic parameters. Traditional pharmacokinetic methods typically involve collecting samples from a few individuals and estimating these parameters. While these methods are commonly used, they have limitations in capturing the variability in drug response among individuals or heterogeneous populations. Population pharmacokinetics is employed to address these...
611
01:20Measurement of Bioavailability: Pharmacodynamic Methods
157
Pharmacodynamic methods provide insights into a drug's effects on physiological processes over time and play a crucial role in understanding bioavailability and therapeutic efficacy. These methods can be broadly classified into acute pharmacological and therapeutic response approaches, each with distinct mechanisms and applications.The acute pharmacological response method directly correlates a drug's physiological effects, such as ECG or pupil diameter changes, to its time course in the body.
157