Proper measurement requires identifying the correct measurement tool. Would you measure a patient?s temperature using a meat thermometer? Without the correct tool, any answer that you generate to a question of interest will have little or no basis in reality. Similarly, when seeking to answer a PICO question, you must ensure that you have the right evaluation tool for the situation.
An evaluation tool should make reliable and valid measurements that are relevant to the question at hand. In this part of your Evaluation Project, you select an evaluation tool that you believe to be most appropriate for use in addressing your PICO question. You also develop a plan for utilizing the selected tool in your evaluation process.
To prepare:
Review the concepts of reliability and validity as covered in this week?s Learning Resources.
Review the research design of your Evaluation Project.
Think about criteria you may use to define the success of your evaluation plan. What tool could measure these criteria?
Explore the available tools used in system evaluation, focusing on the tools listed on the AHRQ website.
Select an evaluation tool that you believe would be most appropriate for your Evaluation Project.
To complete Part 5 of this Evaluation Project:
By Day Thursday 1/18/17
In a 2- to 3-page paper,
1) Describe the evaluation tool that you selected for your Evaluation Project.
2) Provide a rationale for your selection, and summarize the criteria you will use to define the success of the evaluation.
3) Develop a plan for utilizing the tool for your Evaluation Methodology Plan. If the tool that you selected is not on the AHRQ website, provide evidence that it is a valid and reliable tool.
Required Readings
Friedman, C. P., & Wyatt, J. C. (2010). Evaluation methods in biomedical informatics (2nd ed.). New York, NY: Springer Science+Business Media, Inc.
Chapter 5, ?Measurement Fundamentals? (pp. 113?144)
This chapter details the importance of reliability and validity in measurement in informatics. It defines the different types of validity and introduces statistical equations for accurately determining the reliability and validity of a research finding.
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