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Literature Evaluation

Learn how to effectively evaluate scientific literature to identify and provide relevant and reliable information.


概要

This module is designed to help medical affairs professionals effectively evaluate scientific literature so they can identify and provide relevant and reliable information to health care professionals regarding the safe and/or effective use of a particular therapeutic intervention, such as a drug.

This module takes an average of 3 hours to complete.

This eLearning module can be purchased individually or as part of the Medical Communications eLearning Program (eight modules).

特集トピック

  • Abstract and Introduction
  • Study Participants
  • Study Design and Controls Measuring Study Results
  • Data Management Problems
  • Describing the Data
  • Presenting the Results
  • Interpreting the Results
  • Establishing Causality
  • Determining Importance and Generalizability of Results

参加対象

This program is designed for professionals involved in:

  • Medical affairs
  • Medical communications
  • Medical information
  • Medical writing
  • Field-based medical affairs support (i.e., medical science liaison)
  • Medical call center environment
  • Regulatory affairs
  • Clinical research
  • Professional education, training, and development
  • Document management/eSubmissions

学習目的

Upon completion of this module, learners should be able to:

  • Determine whether participants in a study are appropriately selected, and are representative of the patients who receive the interventions being investigated
  • Explain the purpose, key features, and possible bias of a published study abstract and introduction sections
  • Analyze the efficacy, safety, and effectiveness outcomes of a study
  • Explain how tables and graphs can be used effectively, but may also misrepresent data
  • Evaluate the internal validity of a study
  • Identify when data is missing and the significance of the Intention to Treat analysis
  • Describe the importance of critically evaluating scientific literature, as well as the possible sources of bias within a published clinical study
  • Evaluate whether study results are objectively interpreted
  • Describe causal and non-causal relationships, and criteria for causality
  • Outline how data is described in a study
  • Explain the role that population size, cause, strength, randomization, and generalizability play in determining the importance of a study

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