Find an article in the health economics literature that is (1) interesting to you, and (2) not beyond your abilities from a math and/or theory perspective. The article can be drawn from the peer reviewed academic literature, or it can be a paper published by a reputable organization (U.S. or foreign). It may not be an article from a news publication. Nor may it be someone’s summary of someone else’s peer reviewed work (i.e., you should review the source article, not a review of that source article). There are no constraints on the topic, other than it must be on a subject matter considered ‘health economics.’ You are free to choose a topic more related to policy than to managerial decision making. It does not have to be related to the Module 1 material.
Your paper should be:
- 2-3 pages in length, using APA format (double-spaced, 12 point font)
- Article must be from a peer-reviewed scholarly journal or a reputable organization.
- Article must focus on or use health economics to address a question that a decision maker or policy maker might face; or that produces information useful to such a person.
- At the top of the paper, please provide the complete APA citation for the article (e.g., author[s], year of publication, article title, journal title, volume, issue, page range, doi number, if available).
- Content should include:
- Brief summary of what the article said (approximately 300-400 words) including relevant economic data and/or research methodology presented and/or theory used
- At least one paragraph describing how the article is relevant to either a healthcare organization decision maker (e.g., a manager) or to a policymaker.
- Conclusion, with comments on why the article was selected and your general impression of the article (it is okay to be critical).
- Include a reference list formatted in proper APA citation at the end of the review.
- Body of paper should contain no more than 10% direct quotes.
NOTE: When you upload your paper you should receive a Turnitin report with a similarity index. There is no set maximum on an ‘allowed’ value. A paper with a high similarity index could be entirely free of plagiarism, while a paper with a low, or even 0 similarity index could have a lot of plagiarism. High scores are used to flag papers for further checking, but even papers with low scores may be checked for plagiarism