A dashboard for exploring clinical trials sponsorship and potential virtual monopolies

Author:

Graham S Scott1,Majdik Zoltan P2,Barbour Joshua B3ORCID,Rousseau Justin F45ORCID

Affiliation:

1. Department of Rhetoric & Writing, Center for Health Communication, University of Texas at Austin, Austin, Texas, USA

2. Department of Communication, North Dakota State University, Fargo, North Dakota, USA

3. Department of Communication Studies, Moody College of Communication, University of Texas at Austin, Austin, Texas, USA

4. Department of Population Health, Dell Medical School, The University of Texas at Austin, Austin, Texas, USA

5. Department of Neurology, Dell Medical School, The University of Texas at Austin, Austin, Texas, USA

Abstract

Abstract Objective To create a data visualization dashboard to advance research related to clinical trials sponsorship and monopolistic practices in the pharmaceuticals industry. Materials and Methods This R Shiny application aggregates data from ClinicialTrials.gov resulting from user’s queries by terms. Returned data are visualized through an interactive dashboard. Results The Clinical Trials Sponsorship Network Dashboard (CTSND) uses force-directed network mapping algorithms to visualize clinical trials sponsorship data. Interpretation of network visualization is further supported with data on sponsor classes, sponsorship timelines, evaluated products, and target conditions. The source code for the CTSND is available at https://github.com/sscottgraham/ConflictMetrics. Discussion Monopolistic practices have been identified as a likely contributor to high drug prices in the United States. CTSND data and visualizations support the analysis of clinical trials sponsorship networks and may aid in identifying current and emerging monopolistic practices. Conclusions CTSND data can support more robust deliberation about an understudied area of drug pricing.

Funder

National Endowment for the Humanities

National Science Foundation’s Extreme Science and Engineering Discovery Environment

Publisher

Oxford University Press (OUP)

Subject

Health Informatics

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