Medical errors have had a big presence if the U.S. healthcare system. With Medication errors being consistently ranked within the top five of all medical issues. So some evidence that some people should look for in drugs even if the doctors say they are fine, is often the systematic reviews that occur within the process of the drug being approved, along with the random control trial and the meta-analyses.
A systematic review is when the individuals who are composing the drug review different literature that often collects and critically analyze research that was previously conducted, often leading to questions that are formulated. These reviews are often used to provide complete and provide an exhaustive summary related to their questions. …show more content…
The way people are often chosen for these types tests is simply like flipping a coin. These trials are often seen as being the highest standard for trials, these tests are often used to test the efficacy and effectiveness of, according to the FDA these occur after the testing is concluded on animals. There are often three trials starting with a small group(~50), then a large group(~500), and lastly with a huge group(~1000+)(FDA). This is when the FDA will then take all the data received from the testing and review the product. If the review shows that the benefits outweigh any possible negative risks that is when the drug will be approved to be sold. While looking at these tests, I would examine the breakdown of the people that were present during the different testing phases. Furthermore, I would follow some of the performance of the drug as it is actually on the market, since according to the FDA an agency called MedWatch will allow individuals to see the information about the drug and read further reports. These reports are often reports of side effects of the medicine. These can be reported from the consumers, doctors or even the company that formulated the drug itself.
The last thing that someone should look into would be the meta-analysis of the drug. A meta-analysis is a statistical analysis that combines the results of the studies conducted for the drug and is often measured with a window for error. The best thing about the meta-analyses approach is the collection of information that is leading to a higher statistical power and often a more beefy point estimate than is possible from any derivable data from any other study that was
A systematic review is when the individuals who are composing the drug review different literature that often collects and critically analyze research that was previously conducted, often leading to questions that are formulated. These reviews are often used to provide complete and provide an exhaustive summary related to their questions. …show more content…
The way people are often chosen for these types tests is simply like flipping a coin. These trials are often seen as being the highest standard for trials, these tests are often used to test the efficacy and effectiveness of, according to the FDA these occur after the testing is concluded on animals. There are often three trials starting with a small group(~50), then a large group(~500), and lastly with a huge group(~1000+)(FDA). This is when the FDA will then take all the data received from the testing and review the product. If the review shows that the benefits outweigh any possible negative risks that is when the drug will be approved to be sold. While looking at these tests, I would examine the breakdown of the people that were present during the different testing phases. Furthermore, I would follow some of the performance of the drug as it is actually on the market, since according to the FDA an agency called MedWatch will allow individuals to see the information about the drug and read further reports. These reports are often reports of side effects of the medicine. These can be reported from the consumers, doctors or even the company that formulated the drug itself.
The last thing that someone should look into would be the meta-analysis of the drug. A meta-analysis is a statistical analysis that combines the results of the studies conducted for the drug and is often measured with a window for error. The best thing about the meta-analyses approach is the collection of information that is leading to a higher statistical power and often a more beefy point estimate than is possible from any derivable data from any other study that was