Crafting a Clinical Research Question and Proposal

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Description

A well-defined research question is essential for guiding the design of a solid clinical research study. But how do you formulate a good question? And how do you turn that question into a compelling proposal?

This module will provide you with two frameworks to help you transform your initial idea into a clear, specific, and fundable research question. It will also introduce you to the key elements of a simple research proposal.

By the end of this module, you will be able to:

  • Apply the PICOT framework to develop and focus your research question
  • Use the FINER criteria to evaluate and refine your research question
  • Identify the optimal length and contents of a simple research proposal

Thomas R. Radomski, MD, MS
Associate Professor of Medicine and Clinical and Translational Science, Associate Director of the Institute for Clinical Research Education

Dr. Radomski is a general internist, experienced in the prevention, diagnosis, and treatment of a wide array of medical problems that affect adults. In addition, Dr. Radomski is a health services researcher. His work, which focuses on patient-centered approaches to measure and reduce health services overuse, has been published in JAMA, JAMA Internal Medicine, and the Annals of Internal Medicine. Dr. Radomski is a dedicated educator and mentor to early-career investigators.

Nicolás M. Kass, MD

Nicolás M. Kass is pursuing a career in plastic and reconstructive surgery. His research has included investigations into feeding outcomes in Pierre-Robin Sequence and the use of augmented reality in surgery. A graduate of Pomona College, he taught middle school science before changing careers to medicine. He has continued his love of teaching by serving as a Surgery Section Editor for the study textbook, First Aid Clinical Algorithms for the USMLE STEP 2 CK.

Learn how to draft a clinical research question and proposal, identify a range of study designs for observational and interventional studies, and control for bias and confounding.

Modules in this Stack are case-based, interactive, and entirely self-paced, combining convenience and flexibility with deep, engaged learning. Take them all to earn a competency-based certificate.

Other modules in this Stack:

  • Introducing Clinical Research
  • Accounting for Bias and Confounding
  • Experimental Studies in Clinical Research
  • Observational Studies in Clinical Research

Module Content