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MDCS41900

Academic Year 2024/2025

Clinical Protocol Development (MDCS41900)

Subject:
Medicine Clinical Science
College:
Health & Agricultural Sciences
School:
Medicine
Level:
4 (Masters)
Credits:
10
Module Coordinator:
Dr Marie Galligan
Trimester:
Spring
Mode of Delivery:
Blended
Internship Module:
No
How will I be graded?
Letter grades

Curricular information is subject to change.

This module forms part of the MSc in Clinical & Translational Research. The goal of this module is to provide students with an in-depth understanding of clinical trial protocols including their structure and how a scientifically appropriate protocol is developed.
Students will build on previous content as they design their own clinical research protocol. Students will
1) Formulate a research question
2) Choose a suitable study design
3) Complete a study summary, defining study population, endpoints etc...
4) Pre-specify study activities such as monitoring, data management, statistical analysis
5) Write a protocol using the HPRA protocol template
Students will receive feedback throughout the protocol development process

About this Module

Learning Outcomes:

On completion of this module, students will be able to design, develop and deliver a clinical trial protocol that is ethically, legally and regulatorily sound and statistically valid.
Specifically students will:
Propose a research question applicable to a clinical, occupational or scientific setting
Design a methodologically sound study to address their research question
Develop a clinical research protocol within a specified framework
Choose the study design most appropriate to the research question, including definition of endpoints and determination of sample size requirements
Understand the most appropriate control and intervention groups
Write up the clinical research protocol

Indicative Module Content:

In this module, students will be guided through the stages of protocol development, from research question to initial PICO and from study summary to completed protocol

Student Effort Hours:
Student Effort Type Hours
Specified Learning Activities

60

Autonomous Student Learning

100

Lectures

24

Tutorial

8

Seminar (or Webinar)

12

Total

204


Approaches to Teaching and Learning:
Lectures
Active learning activities
Tasks
Group work
Peer review and feedback

Requirements, Exclusions and Recommendations
Learning Requirements:

Prior to undertaking this module, students should have a detailed knowledge of biostatistics and data management


Module Requisites and Incompatibles
Pre-requisite:
MDCS41950 - Biostatistics &Data Management


 

Assessment Strategy  
Description Timing Component Scale Must Pass Component % of Final Grade In Module Component Repeat Offered
Assignment(Including Essay): Research question proposal Week 2, Week 3, Week 4, Week 5 Standard conversion grade scale 40% No

15

No
Assignment(Including Essay): Presentation of study design Week 6, Week 7, Week 8, Week 9 Standard conversion grade scale 40% No

20

No
Assignment(Including Essay): Research protocol submission Week 10, Week 11, Week 12 Standard conversion grade scale 40% No

65

No

Carry forward of passed components
Yes
 

Resit In Terminal Exam
Summer No
Please see Student Jargon Buster for more information about remediation types and timing. 

Feedback Strategy/Strategies

• Feedback individually to students, on an activity or draft prior to summative assessment
• Peer review activities
• Self-assessment activities

How will my Feedback be Delivered?

Feedback is provided on a continuous basis to students, throughout this module. Students also engage in peer review and feedback

Name Role
Professor Patrick Murray Tutor
Dr Deborah Wallace Tutor