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Dataset Information

An exploration of counterfeit medicine surveillance strategies guided by geospatial analysis: lessons learned from counterfeit Avastin detection in the US drug supply chain.


ABSTRACT:

Objective

To explore healthcare policy and system improvements that would more proactively respond to future penetration of counterfeit cancer medications in the USA drug supply chain using geospatial analysis.

Design

A statistical and geospatial analysis of areas that received notices from the Food and Drug Administration (FDA) about the possibility of counterfeit Avastin penetrating the US drug supply chain. Data from FDA warning notices were compared to data from 44 demographic variables available from the US Census Bureau via correlation, means testing and geospatial visualisation. Results were interpreted in light of existing literature in order to recommend improvements to surveillance of counterfeit medicines.

Setting/participants

This study analysed 791 distin

SUBMITTER: Cuomo RE 

PROVIDER: S-EPMC4256545 | biostudies-literature | 2014 Dec

REPOSITORIES: biostudies-literature

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