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NUR 752 Assignment 6.2: Patient Outcomes Project Part II: Create Knowledge and Conclusions

NUR 752 Assignment 6.2: Patient Outcomes Project Part II: Create Knowledge and Conclusions

NUR 752 Assignment 6.2: Patient Outcomes Project Part II: Create Knowledge and Conclusions

Introduction

In the second part of this two-part assignment, you will use the information you displayed and aggregated in Part I and inferential statistics to inform a decision in Part II.

Assignment Guidelines

Update I: Patient Outcomes Quarterly

After you completed the chart in the Excel file from Part I, the nursing manager expressed to you that it is too cluttered and would prefer it to be organized by quarter, not by month.

  1. Use the data in Sheet #1 “Pt Outcomes | BSN” to develop a second run chart, organized by quarter. Use a style 2-line graph with the numbers of the vertical axis in the bubbles. (See Formatting Example Chart and Bullets (PDF)Links to an external site. to see how the chart should look.) Note the following:
    1. This step requires you to sum the data by quarter (and average the % of BSN data by quarter).
    2. This graph will have only four data points for each line.
    3. If you create this new chart with merged cells the bubbles will not have lines connecting them.
  2. Insert this new run chart into a Word document.

Update II: Inferential Statistics

As a result of the institution’s interest in staffing and patient outcomes, the nursing manager has created a score using various parameters to measure daily patient outcomes. Note: This is a fictitious score and was created for the purpose of this assignment.

These daily scores are present in your Patient Outcomes Excel file, Sheet 4 “Scores | # BSN”, Column A. Column B contains the number of BSN-prepared nurses who were present on each of the days. You need to determine if the number of BSN-prepared nurses assigned to the unit per shift impacts the daily patient outcomes score, and if so, how much?

You will accomplish this task by taking the following steps:

  1. With help from the IHI QI Essential Toolkit Scatter Diagram (PDF)Links to an external site., create a scatterplot for the data on Sheet 4 and save it.
  2. Copy this scatterplot to your Word document on page two.
  3. Complete a Pearson R test for significance.
  4. Use R2 (RSQ) to Test for goodness of fit (this test will tell you what percent of the change in outcome scores is accounted for by the number of BSNs).
  5. Display the results beneath the chart on page two of the Word document.

Notes

  • The data in the scatter plot is not very scattered, the data falls into rows.
  • Pearson R is always between 0 and 100%:
    • 0% indicates that the model explains none of the variability of the response data around its mean.
    • 100% indicates that the model explains all the variability of the response data around its mean.
  • The function for R2 in Excel is RSQ.

(Minitab Blog Editor, 2013Links to an external site.)

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Update III: Conclusions—Create Usable Knowledge

  • Given the information you obtained from the data, present bullet-points under the scatterplot in the Word document describing
    NUR 752 Assignment 6.2 Patient Outcomes Project Part II Create Knowledge and Conclusions
    NUR 752 Assignment 6.2 Patient Outcomes Project Part II Create Knowledge and Conclusions

    how you would interpret the relationship between the daily scores and the number of BSNs. Do the data in Part I and Part II of this assignment measure the same thing? Do they lead you to the same conclusion?

Formatting and Mechanics

  • Use landscape orientation for the page layout.
  • Use formatting similar to the presentation example, Formatting Example Chart and Bullets (PDF)Links to an external site., to see how the chart and bullets should look.
  • In the Word document, include the revised run displaying quarterly data.
  • On page two, insert the scatterplot and a bulleted list.
    1. Include Pearson R and R2 in the bullets to support your conclusions.
    2. Present your conclusions.
    3. Present bullet-points, not full sentences and not paragraphs.
  • Limit the Word document to two pages.
  • Save the Word file.

Submit for Assignment 6.2:

  • Two-page Word document with a line graph on page one and a scatter plot and bulleted list with inferential statistics and conclusions on page two.

Submission

Submit your assignment and review full grading criteria on the Assignment 6.2: Patient Outcomes Project Part II: Create Knowledge and Conclusions page.

Week 6: Using Data for Systems Improvement

This week has one lesson: Use of Data to Impact Management Decisions (Excel Skills). Activities include readings, a learning module, a two-part written assignment, and a graph assignment.

Review a list of all items due this week in your course’s syllabus.


Lesson 1: Use of Data to Impact Management Decisions (Excel Skills)

In this lesson, you will be analyzing data by creating charts and by performing inferential analyses on the data. You will then create a short presentation of your conclusions.


Learning Outcomes

At the end of this lesson, you will be able to:

  • Employ data management systems for decision-making.
  • Justify management decisions with data.
  • Provide multidisciplinary leadership by analyzing data within healthcare systems.

Before attempting to complete your learning activities for this week, review the following learning materials:


Learning Materials

Read the following in your Nursing Informatics for the Advanced Practice Nurse textbook:

Chapter 21, “Quality-Improvement Strategies and Essential Tools”

Additional Optional Resources:

Consider reading in your optional Nursing Informatics for the Advanced Practice Nurse textbook:

Chapter 24, “Informatics in Management and Quality Improvement”

Consider reading in your optional Excel Bible textbook:

Chapter 20, “Getting Started with Excel Charts”

This chapter covers the basic steps for creating and working with charts in a spreadsheet:

Chapter 16, “Using Formulas for Statistical Analysis”

This chapter has a section describing calculating mean, median, and mode.

Review and reflect on the following in your Nursing Informatics for the Advanced Practice Nurse textbook:

Case Study 1 (pp. 528–529)

This case study exemplifies how analyzing data can lead to strong decisions to improve processes.

Week 6 Patient Outcomes Project Part II Rubric
Criteria Ratings Pts
Patient Outcomes Quarterly
10 to >9 pts
Meets Expectations (>9 to 10 points)

Run chart uses style 2 (with numbers on vertical axis in bubbles) reflecting the quarterly data.

9 to >7 pts
Nearly Meets Expectations (>7 to 9 points)

Run chart has labels present and is correct, but no numbers are in the bubbles.

7 to >5 pts
Barely Meets Expectations (>5 to 7 points)

Run chart may have errors in the labels.

5 to >0 pts
Does Not Meet Expectations (0 to 5 points)

Not a run chart. The data is not segregated into quarters.

10 / 10 pts
Scatter plot
10 to >9 pts
Meets Expectations (>9 to 10 points)

Scores/BSN represented on scatter graph. Graph is appropriately labeled and titled.

9 to >7 pts
Nearly Meets Expectations (>7 to 9 points)

Scores/BSN represented on scatter graph.

7 to >5 pts
Barely Meets Expectations (>5 to 7 points)

Scores/BSN represented on scatter graph. Graph is labeled and titled incorrectly.

5 to >0 pts
Does Not Meet Expectations (0 to 5 points)

Scores/BSN not represented on graph or graph is not a scatter graph.

10 / 10 pts
Inferential Statistics
10 to >9 pts
Meets Expectations (>9 to 10 points)

Functions used: Pearson R and R2 (RSQ). No errors present.

9 to >7 pts
Nearly Meets Expectations (>7 to 9 points)

Did not use Excel’s functions to complete tests. No errors present.

7 to >0 pts
Barely Meets Expectations (>0 to 7 points)

Did not use Excel’s functions to complete tests. Errors may be present.

0 pts
Does Not Meet Expectations (0 points)

Did not complete tests.

10 / 10 pts
Conclusions
25 to >24 pts
Meets Expectations (>24 to 25 Points)

Conclusions flow from data and clear and concise.

24 to >20 pts
Nearly Meets Expectations (>20 to 24 points)

Conclusions flow from data but are unclear or vague.

20 to >0 pts
Barely Meets Expectations (>0 to 20 points)

Conclusions not supported by data, or inaccurate conclusions.

0 pts
Does Not Meet Expectations (0 points)

Conclusions absent.

20 / 25 pts
Format
5 to >4 pts
Meets Expectations (>4 to 5 Points)

Follows formatting and mechanics directions. No typos noted.

4 to >3 pts
Nearly Meets Expectations (>3 to 4 Points)

Generally follows formatting and mechanics directions. No typos noted.

3 to >2 pts
Barely Meets Expectations (>2 to 3 Points)

Generally follows formatting and mechanics directions. Typos are noted.

2 to >0 pts
Does Not Meet Expectations (0 to 2 Points)

Does not follow formatting or mechanics directions. Typos may be noted.

5 / 5 pts
Total Points: 55