Related Experiment Video
Updated: Oct 18, 2025

Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease
Published on: August 9, 2024
Cost-utility analysis of medication review with follow-up for cardiovascular outcomes: A microsimulation model
Antonio Ahumada-Canale1, Constanza Vargas2, Francisco Martinez-Mardones3
1Graduate School of Health, University of Technology Sydney, Sydney, Australia; Centre for the Health Economy, Macquarie University, Sydney, Australia.
Background:
Cardiovascular diseases are the leading cause of death. Pharmacist-led medication review with follow-up might be cost-effective preventing cardiovascular diseases.
Objective:
To undertake a cost-utility analysis of the addition of pharmacist-led medication review with follow-up to usual care compared to usual care alone for cardiovascular outpatients.
Materials And Methods:
A state-transition microsimulation model was built to project outcomes over a lifetime time horizon. Inputs from a cluster randomized controlled trial conducted in primary health care centers in Chile with full-time pharmacists were used. Probabilities were estimated using patient-level data. Utilities and costs associated with each health state were obtained from the literature, whereas the intervention costs were retrieved from the trial. The public third-party payer perspective was used. Uncertainty was evaluated through one-way and probabilistic sensitivity analyses.
Results:
For the base case analysis, an incremental cost-effectiveness ratio of $963 per quality-adjusted life-year was observed which was considered cost-effective. The results were robust to sensitivity analyses and were driven by decreased cardiovascular events resulting in lower mortality.
Conclusions:
Medication review with follow-up was deemed a cost-effective addition to usual care with low uncertainty.
More Related Videos
Related Concept Videos
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
Pharmacovigilance
This process, termed pharmacovigilance, aims to detect, evaluate, and minimize harmful effects related to medication use. The data collection for pharmacovigilance depends on spontaneous reporting systems, where healthcare professionals or patients voluntarily report suspected ADRs.
In some cases, there...
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.
Bioequivalence of Drugs: Drugs with Multiple Indications
Analysis of Population Pharmacokinetic Data
Model-Independent Approaches for Pharmacokinetic Data: Noncompartmental Analysis
One important characteristic of noncompartmental analyses is that drug exposure increases proportionally with increasing doses. This...

