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.
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 (nursing shortage – reasons for nursing shortage (Staff Turnover Rate, Retention and Job Satisfaction) 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.
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.