Description
Purpose
This assignment allows you to apply the principles of inferential statistics to evaluate the impact of your QI intervention. By using either real or simulated data, you will conduct a statistical test to determine whether your intervention has led to a meaningful change in your selected outcome measure.
This assignment aligns with AACN DNP Essentials II and III, focusing on analytical methods, systems leadership, and clinical scholarship to support evidence-based decision-making.
Instructions
1. Project Context (1 page)
- Restate your PICOT question and provide a summary of your QI intervention.
- Define the primary outcome measure (e.g., fall rate, infection rate, patient satisfaction, error reduction).
- Describe the data source (real or simulated) and explain how it aligns with your project.
2. Dataset Preparation
- Use real de-identified data from your practice site or create a simulated dataset that reflects realistic outcomes related to your intervention.
- You may use one of the downloadable Excel templates:
3. Select and Conduct a Statistical Test
- Choose a test that aligns with your data type:
- Paired t-test → Continuous outcomes (e.g., patient satisfaction scores, time, vitals)
- Chi-square test → Categorical outcomes (e.g., infection: yes/no, compliance: yes/no)
- Use Excel, SPSS, or another statistical tool to calculate the p-value and interpret the findings.
- Include:
- Test used and why
- Results: test statistic, degrees of freedom, p-value, confidence interval
- Chart (optional but encouraged): e.g., bar chart or run chart illustrating the change
4. Interpret the Results
- Discuss whether the result is statistically significant (e.g., p < 0.05).
- Reflect on whether the result is also clinically meaningful.
- Use your judgment to interpret what the data suggests about your QI intervention.
5. Application to Your DNP Project
- How will this statistical analysis inform your DNP project conclusions or next steps?
- How will you present these findings to stakeholders or leadership?
- Will the data justify continuing, modifying, or scaling the intervention?
Deliverables
- Submit a 3–4 page paper, not including charts/tables or references.
- Use APA 7th edition formatting.
- Include at least two scholarly references to support your interpretation and analysis.
- Attach any Excel calculations or charts as appendices or embed them in your document.
💡 Tips for Success
- Refer to Week 5 readings to support your test selection and interpretation.
- Use the provided templates if you're unfamiliar with statistical software.
- Ensure your interpretation includes both clinical insights and statistical accuracy—both are important at the DNP level.
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Explanation & Answer
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Data Interpretation Project for Restraint Reduction
Project Overview
The imperative to minimize the use of physical restraints and seclusion in adult
psychiatric inpatient settings is a central tenet of contemporary mental healthcare. My DNP QI
project addresses this important area by investigating the potential of a structured preventionfocused protocol to reduce the frequency of these coercive interventions. The primary objective
is to determine whether the implementation of such a protocol, compared to standard practice,
leads to a measurable decrease in the use of physical restraints and seclusion over an eight-week
period among adult psychiatric inpatients. This report aims to facilitate this process by providing
a simulated dataset that reflects the key measures of the QI project.
Data Set
The provided table depicts a set of data that focuses on how this structure prevention
focused protocol is able to have a positive impact on the outcome measures. During the baseline
period (Weeks 1 and 2), the restraint and seclusion rates fluctuate around 47-49 episodes per
1,000 patient-days. Following the introduction of the intervention in Week 3, the checklist
completion rate shows a notable increase, rising from approximately 60% to over 90%.
Concurrently, the rate of restraint and seclusion episodes demonstrates a downward trend,
decreasing from 37.50 in Week 3 to 11.76 by Week 8. The average nursing documentation
duration per shift shows a slight initial increase in the first few weeks post-intervention,
potentially reflecting the time taken to implement the new checklist, but then gradually returns to
near baseline levels, suggesting that the new protocol does not impose a sustained significant
burden on documentation time.
Week Phas
e
1
2
3
New
Complete
Admissions d
Checklists
Base 25
Base 28
Inter 22
v.
4
Inter 26
v.
5
Inter 20
v.
6
Inter 24
v.
7
Inter 27
v.
8
Inter 23
v.
Run Chart
%
Patient
Checklist
-Days
Completion
Restraint
Seclusion
Episodes
Rate per
1,000
PatientDays
Avg.
Document
ation
(Min)
15
17
18
60%
61%
82%
170
185
160
8
9
6
47.06
48.65
37.5
45
46
50
23
88%
175
5
28.57
52
19
95%
150
4
26.67
50
22
92%
165
3
18.18
48
25
93%
180
3
16.67
47
21
91%
170
2
11.76
46
In the simulated data, a noticeable decreasing trend in the rate of restraint and seclusion
episodes per 1,000 patient-days is observed starting in Week 3, immediately following the
implementation of the prevention protocol. This downward trend continues throughout the
intervention period (Weeks 3-8), suggesting a positive impact of the new protocol on reducing
the use of coercive measures. While there might be some week-to-week fluctuations in the rates,
the overall direction indicates improvement. Identifying any outliers in the run chart is also
important. For instance, if there were an unexpectedly high rate of restraint or seclusion in a
particular week post-intervention, it would warrant further investigation to understand the
specific circumstances that might have contributed to this deviation. Similarly, shifts in the data,
such as a sustained period where the restraint/seclusion rates consistently fall below the baseline
median, would provide stronger evidence of a meaningful change resulting from the intervention.
Applying the Findings to My DNP QI Project
The data visualizations will serve as a proof for stakeholders regarding the efficiency of
the proposed quality improvement project. IT remains important to make sure that all the axes
together with the titles and key indications on the charts are clearly labeled in order to make sure
that the viewers understand the concept presented.
Incorporatin...
