Related Experiment Video
Updated: Jun 24, 2025

Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System
Published on: December 11, 2016
Interventional pharmacoepdemiology: design and evaluation of interventions to improve prescribing
G Caleb Alexander1,2, Aileen Grant3, Carmel Hughes4
1Institute of General Practice and Family Medicine, University Hospital, LMU Munich, 80336 Munich, Germany.
Abstract:
Despite the value of modern therapeutics, many obstacles prevent their optimal use. Overuse, underuse, and misuse are common, resulting in morbidity and mortality affecting billions of individuals across the world. Pharmacoepidemiology provides important insights into drug utilization, safety, and effectiveness in large populations, and it is an important method to identify opportunities to improve the value of therapeutics in clinical practice. However, for these opportunities to be realized, interventions to improve prescribing must be developed, evaluated, and implemented in the real world. We provide an overview of this process, focusing especially on how such interventions can be designed and deployed to maximize scalability, adoption, and impact. Prescribing represents a complex behavior with barriers and enablers, and interventions to improve prescribing will be most successful when developed, piloted and refined to maximize provider and patient acceptability. Carefully developed evaluations of interventions are also critical, and varied methods are available to empirically evaluate the intended and potential unintended consequences of interventions. With illustrative examples from the peer-reviewed literature, we provide readers with an overview of approaches to the essential and growing field of interventional pharmacoepidemiology. This article is part of a Special Collection on Pharmacoepidemiology.
More Related Videos
06:05The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time
Published on: February 19, 2021
12:18A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Related Concept Videos
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...
Analysis of Population Pharmacokinetic Data
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,...
Biopharmaceutics and Pharmacokinetics: Overview
Drug Administration and Therapy Phases: Overview
The pharmaceutical phase focuses on leveraging the physicochemical properties of the drug to design and manufacture an effective product. Variants include orally administered tablets or capsules, topical creams or ointments, and parenteral-delivery solutions or emulsions.
The pharmacokinetic phase...
Study Designs in Epidemiology
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...