Related Experiment Video
Updated: Jan 15, 2026

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
Published on: June 21, 2018
Characterizing models for delivery of pharmacogenomic testing: a scoping review
Zeina Waheed1, Mary Bunka1, Louisa Edwards1
1School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada.
None:
Pharmacogenomic (PGx) testing can help guide medication prescribing for a wide range of health indications. The objective of this scoping review was to understand how PGx testing has been clinically implemented and learn from these experiences. Research questions guiding this work were: (1) what different models for delivery of PGx testing have been employed? (2) what are the characteristics of each delivery model? and (3) what are the reported facilitators and barriers associated with each delivery model? A total of 134 articles reported on 125 PGx initiatives spanning 19 countries. Four unique delivery models were identified: sole prescriber-led (n = 45), prescriber-led within an interdisciplinary care team (n = 34), community pharmacist-led (n = 16), and PGx consultation service (n = 30). The unique combination of characteristics, and reported facilitators and barriers yielded distinct strengths and challenges for each identified delivery model. Findings from this review can help inform future implementation planning or expansion of PGx initiatives by presenting different delivery models that may be employed and the corresponding considerations for each approach. This information can help inform future implementers in the selection of one or more approaches that may be most suitable based on their unique contextual needs, and available infrastructures or resources.
Related Concept Videos
Pharmacokinetic Models: Overview
There are three primary types of models: empirical, compartment, and physiological. Empirical models, with minimal...
Pharmacokinetic Models: Comparison and Selection Criterion
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
Analysis of Population Pharmacokinetic Data
Mechanistic Models: Overview of Compartment Models
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
Model Approaches for Pharmacokinetic Data: Compartment Models
Two primary types of compartment models are recognized: mammillary and catenary. The more...

