NR716 Week 5 Discussion: Analyzing Descriptive Statistics
Consider the following scenario:
As a DNP-prepared nurse working in a rural clinic, you have a large population of patients with type 2 diabetes whose HbA1c levels are greater than 7% and body mass index (BMI) is over 30. You design a 9-month practice change project to impact these values.
Based on an exhaustive search and appraisal of research studies, you select an evidence-based intervention—diabetic self-management education (DSME)—to translate to your local rural clinic.
The evidence-based intervention includes exercise, healthy eating, and understanding the importance of regular blood glucose monitoring.
Before implementing the intervention, you retrieve aggregate data from 3, 6, and 9 months from medical records prior to the intervention being implemented. Data included HbA1c levels, BMIs, and numbers of patients with uncontrolled HbA1c. You also collected demographic data.
You collect the same data at 3, 6, and 9 months after implementation of the evidence-based intervention (DSME) to your patients.
Pre-implementation and post-implementation data include the following.
Patient | Column A
HbA1c Pre-implementation |
Column B
HbA1c > 7 |
Column C
HbA1c Post-implementation |
Column D
HbA1c > 7 |
---|---|---|---|---|
1 | 7.4 | Y | 6.9 | N |
2 | 7.8 | Y | 7.1 | Y |
3 | 7.1 | Y | 6.7 | N |
4 | 6.8 | N | 6.4 | N |
5 | 7.4 | Y | 6.8 | N |
6 | 7.8 | Y | 7.7 | Y |
7 | 7.8 | Y | 7.4 | Y |
8 | 8.2 | Y | 8 | Y |
9 | 7.5 | Y | 6.7 | N |
10 | 11.8 | Y | 11.3 | Y |
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)
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