Evidence-Based Education for Conducting Long-COVID Community-Based Screening

Craig A. Schapekahm, Winona State University
Justin L. Mann, Winona State University

No poster file.

Abstract

This hypothesis has led me and the head athletic trainer for the Winona State Baseball team, Jaren Defries, to create a set of questions to have college athletes fill out on my quantitative survey. The survey questions were formed from experiences Defries has had with college athletes firsthand. The survey is formatted in a Likert-Scale form, and when the participants read the statements, they choose 1,2,3,4, or 5, which is represented by "strongly disagree, disagree, neutral, agree, strongly agree." This format makes answering the statements with honesty as painless and easy as can be. Some examples of statements that will be provided in my survey are "I will communicate an injury to the head if it means I still will likely be able to participate in my event/game" and "I would not communicate my injuries to athletic training staff." The study examines if age affects how, if, and to who college athletes communicate their injuries. Data that is collected will be analyzed using a T-test. A T-test is a test that looks at two groups that are usually used for a certain measure. It uses statistical analysis of two groups to see if there is any significance between them. Currently, 161 people have responded to the survey and the results will be analyzed by the time of the event.

 

Evidence-Based Education for Conducting Long-COVID Community-Based Screening

This hypothesis has led me and the head athletic trainer for the Winona State Baseball team, Jaren Defries, to create a set of questions to have college athletes fill out on my quantitative survey. The survey questions were formed from experiences Defries has had with college athletes firsthand. The survey is formatted in a Likert-Scale form, and when the participants read the statements, they choose 1,2,3,4, or 5, which is represented by "strongly disagree, disagree, neutral, agree, strongly agree." This format makes answering the statements with honesty as painless and easy as can be. Some examples of statements that will be provided in my survey are "I will communicate an injury to the head if it means I still will likely be able to participate in my event/game" and "I would not communicate my injuries to athletic training staff." The study examines if age affects how, if, and to who college athletes communicate their injuries. Data that is collected will be analyzed using a T-test. A T-test is a test that looks at two groups that are usually used for a certain measure. It uses statistical analysis of two groups to see if there is any significance between them. Currently, 161 people have responded to the survey and the results will be analyzed by the time of the event.