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Quality Improvement: Analyzing the Test of Change

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Course Details

Credit/contact hours: .25
Estimated time to complete: 15 minutes
Publication Date: Nov 6, 2019
Expiration date: Nov 6, 2025
Reviewed: Nov. 6. 2022


In this module, we will describe a basic approach to analyzing quality improvement (QI) data. The first step is to prepare your data for analysis. We examine how to use bar chart, histograms, and run or control charts to discover patterns and important outcomes of your test of change. We use examples of QI tests to illustrate the underlying principles.

Note: This course is eligible for ACPE credit.

You Will Learn

  • Describe the steps involved in analyzing a test of change
  • Describe how to debrief change participants
  • Describe common descriptive methods for summarizing test of change data
  • Describe the role of run and control charts to interpret tests of change
  • Analyze a test of change (case study)

Method and medium:

Learners participate in the interactive learning modules by correctly answering multiple choice questions dispersed throughout. Learners will be prompted to try again if a question is answered incorrectly.The course will open in a new tab - to exit the course, simply close that tab.

John D. Voss, MD

John D. Voss, MD, is in the Division of General Medicine, Geriatrics and Palliative Care at the University of Virginia.

DISCLOSURE: This individual reports no relevant financial relationships with commercial entities.

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