28 Dec Discussion: Building Regression Models in Health Care
Discussion: Building Regression Models in Health Care
Finding evidence-based relationships among variables is an important tool for any healthcare administration leader. On a daily basis, healthcare administration leaders may want to see what variables are correlated so that they can implement quality improvement.
This week, you think of scenarios where building and interpreting regression models would be useful for healthcare administration leaders. You might consider building off of your Week 4 Discussion.
For example, Jenna, a healthcare administration leader, determined last week that patient satisfaction scores had fallen from the mean of 87. She wants to know why. She believes that it may have something to do with patient waiting time and time spent with the doctor. Thus, her dependent variable (y) is patient satisfaction and the independent variables are waiting time (x1) and time spent with the doctor (x2). She can evaluate the relationship between these two variables using correlation; bivariate scatterplots for y vs. x1 and y vs. x2; and regression techniques.
For this Discussion, think about a healthcare scenario where multiple regression might be useful in your organization or one with which you are familiar. Consider what your dependent and independent variables might be for conducting a multiple regression analysis. Build a small example, and run the regression analysis.
By Day 3
Post a description of the dependent and independent variables you will use for your multiple regression analysis, and then explain your regression model in terms of your dependent and independent variables.
Explain how you might measure your variables. Be specific and provide examples.
By Day 5
Continue the Discussion and respond to your colleagues in one or more of the following ways:
Ask a probing question, substantiated with additional background information, evidence, or research.
Marin, M., & Hamadani, L. (2013). Checking linear regression assumptions in R [Video file]. Retrieved
from https://youtu.be/eTZ4VUZHzxw
Dunn, C. (2020). A fast and automatic variable selection for multiple linear regression [Video file].
Retrieved from https://www.youtube.com/watch?v=GyQsSzX3O_A
Share an insight from having read your colleagues’ postings, synthesizing the information to provide new
perspectives.
Offer and support an alternative perspective, using readings from the classroom or from your own research
in the Walden Library.
Validate an idea with your own experience and additional research.
Make a suggestion based on additional evidence drawn from readings or after synthesizing multiple
postings.
Expand on your colleagues’ postings by providing additional insights or contrasting perspectives based on
readings and evidence.
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