BUILDING AND EVALUATING DETAILED GRAPHICAL FINANCIAL CONFLICT OF INTEREST DISCLOSURES IN MEDICAL RESEARCH

Bias in medical research poses a serious threat to public health. Conflicts of Interest create the risk of conscious or subconscious bias in research article authors. Financial Conflict of Interest (FCOI) are widely recognized as relatively as objective, quantifiable, and fairly regulated form of COI. Many medical journals have adopted FCOI disclosure is a means of communicating the potential for bias in research to readers. Research on the impact of FCOI disclosure on the attitudes readers develop toward an article has thus far focused on text-based FCOI disclosure without details on the nature of dollar value of payments received.In this work, I developed an algorithm to match authors to a federal database of payments they received from industry during the FCOI disclosure windows for an article. I have four goals: First, I establish that algorithmic matching of authors to federal payments profile is feasible. Second, I evaluate the impact of detailed graphical FCOI disclosure on the attitudes that readers develop toward a publication. Third, I evaluate the perspectives and opinions or medical journal article authors when presented with graphical FCOI disclosure of their own payments and those of their author teams. Fourth, I gather the perspectives, possible objections, requirements, and desires of key opinion leaders among academia and medical publishing regarding the potential adoption of graphical FCOI disclosures as a standard in academic medical publishing. My findings suggest that the adoption of semi-automated systems for graphical FCOI disclosure may enhance the ability of many stakeholders to detect the potential for bias in medical research without undue harm to authors or corporations.Doctor of Philosoph

International Society for Disease Surveillance Conference 2011: Building the Future of Public Health Surveillance: Building the Future of Public Health Surveillance

Daniel Reidpath - ORCID: 0000-0002-8796-0420 https://orcid.org/0000-0002-8796-04204pubpub1117

Proceedings, MSVSCC 2017

Proceedings of the 11th Annual Modeling, Simulation & Visualization Student Capstone Conference held on April 20, 2017 at VMASC in Suffolk, Virginia. 211 pp

Geographic information systems in business

1st edition, ©200

Pursuing Insights about Healthcare Utilization via Geocoded Search Queries

Mobile devices provide people with a conduit to the rich information resources of the Web. With consent, the devices can also provide streams of information about search activity and location that can be used in population studies and real-time assistance. We analyzed geotagged mobile queries in a privacy-sensitive study of potential transitions from health information search to in-world healthcare utilization. We note differences in people’s health information seeking before, during, and after the appearance of evidence that a medical facility has been visited. We find that we can accurately estimate statistics about such potential user engagement with healthcare providers. The findings highlight the promise of using geocoded search for sensing and predicting activities in the world