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Economics of Counterfeit Avastin: A Geospatial and Statistical Analysis of Demographic Correlates to FDA Warning Letters
Methods: Addresses for warning notices send to individual healthcare practitioners were obtained from the FDA and then geocoded. Demographic variables chosen for analysis were thought to be capable of providing insight into economic factors associated with counterfeit Avastin exposure. These data were collected from the US Census Bureau or the Center for Medicare and Medicaid Services. All variables were analyzed at the U.S. county level.
Results: Our analysis uncovered 401 distinct counties where FDA sent counterfeit Avastin notices. In a multiple logistic regression model, the receipt of a notice was not significantly associated with percent uninsured (p = 0.3121), but was significantly associated with percent Medicare enrollees (OR = 0.874 per 10% increase; p = 0.0121), proportion below federal poverty line (OR = 2.990 per 10% increase; p < 0.0001), and median household income (OR = 2.698 per $10,000 increase; p< 0.0001).
Conclusions: Our study uncovers that county-level economic and demographic factors are potentially associated with counterfeit Avastin receipt after controlling for total number of people in each county. These findings can inform efforts to improve drug safety surveillance and protect patient populations.
Learning Areas:
Biostatistics, economicsEpidemiology
Planning of health education strategies, interventions, and programs
Public health or related laws, regulations, standards, or guidelines
Public health or related public policy
Public health or related research
Learning Objectives:
Describe the distribution of warning notices sent by the FDA regarding potential counterfeiting of the angiogenesis inhibitor Avastin.
Compare demographic and economic characteristics of counties between counties that received warning notices and those that did not using a multiple logistic regression model.
Explain how economic attributes of geographic areas relate to healthcare provider incentives for counterfeit drug acquisition and dispensing.
Keyword(s): Cancer, Economic Analysis
Qualified on the content I am responsible for because: I am a Ph.D. student in Global Health jointly with both the University of California, San Diego (UCSD) and San Diego State University (SDSU). I am currently the Senior Research Associate at the Global Health Policy Institute, a UCSD affiliate. I have several years of experience in public health research, in which I have worked with numerous research organizations.
Any relevant financial relationships? No
I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.