Submitted:
18 April 2025
Posted:
21 April 2025
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Abstract
Keywords:
Overview of Brand Medicine
Historical Context
Economic Theories Related to Brand Medicine
Market Structure and Competition
Pharmaceutical Market Dynamics
Role of Generic Drugs
Brand Medicine Pricing Strategies
Impact on Healthcare Costs
Direct Healthcare Spending
Indirect Costs and Economic Burden
Consumer Behavior and Brand Loyalty
Regulatory Environment
FDA Regulations
Patent Laws and Exclusivity
Literature Review
Previous Research on Brand Medicine
Case Studies
Successful Brand Launches
Comparison of Brand medicines vs Generic Medicines
Global Perspective
International Market Comparisons
Hypotheses
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Hypothesis 1:Wider adoption of generic medications will significantly reduce healthcare costs in the U.S. This includes both out-of-pocket expenses for consumers and overall drug spending.
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Hypothesis 2:Increasing consumer education and incentives for healthcare providers will lead to a higher rate of generic drug prescriptions.
Methods
Data
Variables in the Dataset
Data Cleaning and Processing Steps
Predictors
- Brand/Generic: A binary categorical variable indicating whether the medication is a brand (1) or generic (0).
- AWP Package Price: A continuous variable representing the average wholesale price of each drug package.
Outcomes
- Package Cost: The actual cost of a full package of the medication, expressed in U.S. dollars. This variable is used to measure the financial burden imposed by brand versus generic medications.
Measures
- Descriptive Statistics: Mean, median, standard deviation, and range were calculated for both brand and generic drug costs.
- T-Test: An independent samples t-test was used to compare the means of brand and generic drug costs.
- Correlation Matrix: Pearson correlation coefficients were used to evaluate linear relationships among continuous variables.
- Linear Regression: A multiple linear regression model was used to predict package cost using AWP and brand/generic status as predictors.
Data Analytics
Results
Assumption Check and Correlation Matrix
Statistical Reporting
Discussion
Limitations
Future Studies
Implications
Code Avalibitly
Data Availability
Conclusion
References
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