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Full-Text Articles in Pharmacoeconomics and Pharmaceutical Economics

A Tale Of Two Situations: A Case Report Of The Merger Between Dermatology Outcomes And Prescription Drug Access, Kara Ye, Yasseen Amellal, Will Evans, Theresa Rohr-Kirchgraber Aug 2023

A Tale Of Two Situations: A Case Report Of The Merger Between Dermatology Outcomes And Prescription Drug Access, Kara Ye, Yasseen Amellal, Will Evans, Theresa Rohr-Kirchgraber

Cooper Rowan Medical Journal

This case report illustrates a case of guttate psoriasis in a young adult and the logistical role dermatologists can play in patients acquiring their prescriptions and improving the quality of their care.


Why Some People Consume Counterfeit Drugs In Benin, Maxime A. Ahouansou Aug 2020

Why Some People Consume Counterfeit Drugs In Benin, Maxime A. Ahouansou

English Language Institute

Despite the threat counterfeit drugs represent to health and the government’s endeavor to discourage their consumption, some people in Benin still prefer buying medicine in the underground economy. This research purported to understand the causes of the phenomenon. The research method used a survey of a sample of sixty-eight people randomly selected at Cotonou, a city with a population representative of Benin general population status regarding socio-economic conditions. The data about people's habits regarding drug consumption, monthly income, insurance coverage, and reasons why people chose to buy counterfeit medicines were collected and analyzed using Excel Spreadsheet. The analysis of those …


Demographics Of Opioid Prescriptions, Isaac Linton, Simon Condliffe Apr 2020

Demographics Of Opioid Prescriptions, Isaac Linton, Simon Condliffe

Economics & Finance Student Work

The author ran Linear Probability Model and Logistic Model regressions on data from the 2017 Medical Expenditures Panel Survey to determine demographics of opioid prescriptions. The dependent variable was opioid prescription received (Y/N) and independent variables included age, education level, relative income, race, insurance status, etc. Results of the regressions showed that people with public or private insurance are more likely to be prescribed an opioid, that the problem mainly affects white people, and that as educational attainment increases, likelihood of opioid prescription decreases.