Week 5 Discussion
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).
Pre-implementation and post-implementation data include the following.
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
A. Based on the data set provided, calculate the average percentage of patients with
uncontrolled diabetes (HbA1c>7) both pre-implementation and post-implementation.
Average percentage of patients with uncontrolled diabetes, preimplantation 9/10 (90%)
have uncontrolled diabetes. Post implementation 5/10 (50%) have uncontrolled
diabetes.
B. Next, calculate the mean pre-implementation and post-implementation HbA1c
values for patients involved in this practice change project.
· Mean pre—implementation---7.96
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).
Pre-implementation and post-implementation data include the following.
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
A. Based on the data set provided, calculate the average percentage of patients with
uncontrolled diabetes (HbA1c>7) both pre-implementation and post-implementation.
Average percentage of patients with uncontrolled diabetes, preimplantation 9/10 (90%)
have uncontrolled diabetes. Post implementation 5/10 (50%) have uncontrolled
diabetes.
B. Next, calculate the mean pre-implementation and post-implementation HbA1c
values for patients involved in this practice change project.
· Mean pre—implementation---7.96
