MD ID 6370 (2019/2020) 04/13/2020-05/08/2020

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Course
MD ID 6370 - Clinical Research Basics (Virtual)
Description
Understanding the Clinical Research: Behind the Statistics

About this Course:

If you've ever skipped over the results section of a medical paper because terms like "confidence interval" or "p-value" go over your head, then you're in the right place. You may be a clinical practitioner reading research articles to keep up-to-date with developments in your field or a medical student wondering how to approach your own research. Greater confidence in understanding statistical analysis and the results can benefit both working professionals and those undertaking research themselves.

If you are simply interested in properly understanding the published literature or if you are embarking on conducting your own research, this course is your first step. It offers an easy entry into interpreting common statistical concepts without getting into nitty-gritty mathematical formulae. To be able to interpret and understand these concepts is the best way to start your journey into the world of clinical literature. That's where this course comes in - so let's get started!

The course is free to enroll and take. You will be offered the option of purchasing a certificate of completion which you become eligible for, if you successfully complete the course requirements. This can be an excellent way of staying motivated! Financial Aid is also available.





Introduction to Systematic Review and Meta-Analysis:

About this Course:

We will introduce methods to perform systematic reviews and meta-analysis of clinical trials. We will cover how to formulate an answerable research question, define inclusion and exclusion criteria, search for the evidence, extract data, assess the risk of bias in clinical trials, and perform a meta-analysis.

Upon successfully completing this course, participants will be able to:

- Describe the steps in conducting a systematic review
- Develop an answerable question using the "Participants Interventions Comparisons Outcomes" (PICO) framework
- Describe the process used to collect and extract data from reports of clinical trials
- Describe methods to critically assess the risk of bias of clinical trials
- Describe and interpret the results of meta-analyses




Design and Interpretation of Clinical Trials:

About this Course:

Clinical trials are experiments designed to evaluate new interventions to prevent or treat disease in humans. The interventions evaluated can be drugs, devices (e.g., hearing aid), surgeries, behavioral interventions (e.g., smoking cessation program), community health programs (e.g. cancer screening programs) or health delivery systems (e.g., special care units for hospital admissions). We consider clinical trials experiments because the investigators rather than the patients or their doctors select the treatment the patients receive. Results from randomized clinical trials are usually considered the highest level of evidence for determining whether a treatment is effective because trials incorporates features to ensure that evaluation of the benefits and risks of treatments are objective and unbiased. The FDA requires that drugs or biologics (e.g., vaccines) are shown to be effective in clinical trials before they can be sold in the US.

The course will explain the basic principles for design of randomized clinical trials and how they should be reported. In the first part of the course, students will be introduced to terminology used in clinical trials and the several common designs used for clinical trials, such as parallel and cross-over designs. We will also explain some of the mechanics of clinical trials, like randomization and blinding of treatment. In the second half of the course, we will explain how clinical trials are analyzed and interpreted. Finally, we will review the essential ethical consideration involved in conducting experiments on people.
Academic Year
2019/2020
Start Date
04/13/2020
End Date
05/08/2020
Block
SPRING
Department
MD ID
Permission Required
No
Section Credits
1
Min Openings
1
Max Openings
25
School Years
MSIMSIIMSIII
Course Classifications
ELECTIVEVIRTUAL
Coordinator(s)
Shear,Shaun DC | u0660505@utah.edu
Directors(s)
CHOW,CANDACE DD | candace.chow@utah.edu
Possible Grade(s)
Fail (F)Pass (P)
Prerequisites
None
Add Policy
Course may be added to schedule 30 days before it starts.
Drop Policy
Course may be dropped from schedule 30 days before it starts.
Syllabus
Click here to download syllabus.
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