Related Experiment Video
Updated: Jun 9, 2026

High-throughput and Comprehensive Drug Surveillance Using Multisegment Injection-Capillary Electrophoresis-Mass Spectrometry
Published on: April 23, 2019
The effect of medication samples on self-reported prescribing practices: a statewide, cross-sectional survey
Richard G Pinckney1, A Shams Helminski, Amanda G Kennedy
1The Office of Primary Care, University of Vermont College of Medicine, Burlington, Vermont, USA. Richard.pinckney@uvm.edu
Background:
The pharmaceutical industry spends billions of dollars annually to encourage clinicians to prescribe their medications. Small studies have demonstrated that one of the marketing strategies, the distribution of free sample medications, is associated with increased use of brand name medication over generic medication.
Objectives:
To determine the relationship between the presence of drug samples in primary care clinics and prescription of preferred drug treatments.
Design:
Cross-sectional survey.
Participants:
Primary care prescribers in the state of Vermont.
Main Measurement:
Prescribers were presented with two clinical vignettes and asked to provide the name of the medication they would prescribe in each case. We compared the responses of prescribers with and without samples in their clinics.
Key Results:
Two hundred six prescribers out of the total population of 631 returned the survey and met the eligibility criteria. Seventy-two percent of prescribers had sample closets in their clinics. Seventy percent of clinicians with samples would prescribe a thiazide diuretic for hypertension compared to 91% in those without samples (P<0.01). For managing depression 91% of prescribers with samples would have provided a generic medication in a patient with no health insurance, compared to 100% of those without samples in their clinic (P=0.02).
Conclusions:
Clinicians with samples in their clinics were less likely to prescribe preferred medications for hypertension and depression.
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...
Dosage Regimens: Designs and Approaches
Drug Dosing: Geriatric Patients
Therapeutic Drug Monitoring: Affecting Factors
Pharmaceutical Poisoning: Potential Scenarios
Dosage Regimens: Partial Pharmacokinetic Parameters

