The Literature Evaluation module is designed to help the medical communications professionals effectively evaluate scientific literature. The module helps learners identify and provide relevant and reliable information to medical professionals regarding the use of a particular drug. Learn how to evaluate research on a drug to assess the information’s applicability and reliability.
Feedback from Our Participant(s)
I have found these modules to be indispensable for any individual in the role of a Medical Communications Professional (MCP) in the pharmaceutical industry, whether they be new to this role or a more seasoned colleague. I recommend this program be incorporated into a Medical Communications training plan for all MCP team members, as it covers the foundation work processes of a MCP's role very nicely. As a seasoned MCP myself, the modules were very helpful to identify how we are currently practicing, and where improvements could be made based on following the industry's best practices as it relates to medical communications. Also of great value, the ability to earn ACPE credit as a pharmacist as well as the opportunity to receive a DIA Medical Communications Certificate upon completion of all 9 modules, really adds credence to embarking on this educational opportunity as a "no-brainer".
- Scientific literature evaluation
- Medical communications
- Drug research analysis
Who should attend?
Medical communications professionals in the first three years of a medical communications position.
Upon completion of this course, you should be able to better perform the following functions:
- Examine the purpose, key features and possible bias in a study abstract and introduction
- Evaluate whether subjects in a study were appropriately selected, and are representative of the subjects who will receive the drug
- Evaluate the internal validity of a clinical drug trial
- Identify efficacy, safety, and effectiveness outcomes of a study
- Recognize protocol deviations in a study
- Identify missing data and evaluate Intention to Treat (ITT) analysis
- Explain how data is described in a study
- Explain how tables and graphs can be used effectively, but can also sometimes misrepresent data
- Evaluate whether study results are objectively interpreted
- Explain causal and non-causal relationships, and criteria for causality
- Explain the role that population size, cause, strength, randomization, and generalizability play in determining the importance of a study
The module takes an average of 4.5 hours to complete. (Note that this is an average time. People learn at different rates, and they explore resources and examples at different paces.)