As a DNP-prepared nurse, you will analyze descriptive statistics

As a DNP-prepared nurse, you will analyze descriptive statistics, such as measures of central tendency and variability, to describe outcomes of a practice change project. Reflect upon this scenario and the data presented. What conclusions would you make at the end of this practice change project? What recommendations would you make to stakeholders for continuing the diabetes self-management education (DSME) program based on these results?

In order to respond to this discussion question, you will first need to complete the following calculations and consider responses to your analysis of the descriptive statistics.

1. Perform the following calculations:
   1. Based on the data set provided, calculate the average percentage of patients with uncontrolled diabetes (HbA1c>7) both pre-implementation and post-implementation.
   2. Next, calculate the mean pre-implementation and post-implementation HbA1c values for patients involved in this practice change project.
   3. Now calculate the pre-implementation and post-implementation median score of HbA1c levels.
   4. Next, calculate the pre-implementation and post-implementation standard deviation of HbA1c levels of patients involved in the practice change project. The standard deviation will determine the spread of increase or decrease in HbA1c levels.
   5. Finally, calculate the pre-implementation and post-implementation range of HbA1c levels. If no outliers exist, the range will determine how close together HbA1c levels are in the patients involved.
2. Based on your analysis of the descriptive statistics, what determinations related to the mean HbA1c levels following implementation of the evidence-based intervention can be made?
3. As you reflect upon HbA1c levels, you observe that patient #10 HbA1c levels are an outlier. What does this do to your understanding of the data?