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NURS 3151 Week 3 Assignment – Journal Club
Description
Journal Club
Quantitative Research Review: Sand-Jecklin & Sherman (2014) Article:
A quantitative assessment of patient and nursing outcomes of bedside nursing report implementation.
Description
Journal Club
Qualitative Research Review: Walsh, Meagher-Stewart, & MacDonald (2015) Article:
Persistent optimizing: How mothers make food choices for their preschool children
Article:
Walsh, A., Meagher-Stewart, D. & Macdonald, M.  (2015). Persistent optimizing:  How mothers make food choices for their preschool children.  Qualitative Health Research, 25(4), 527-539.
Purpose of study: The purpose of this study was to understand the assorted factors and circumstances which inhibit Canadian mothers’ ability to make healthy food choices for their pre-school children and the steps taken for them to overcome these impediments.
Description
Week 5: Quantitative Analysis Assignment
Summary Data Analysis Form
This is the form you need to use to describe the findings (or results) of your quantitative analyses of the patient safety data set. For each finding, you are given specific instructions on how to use the Excel program to analyze the data that will give you the results you need for this Assignment. When you have completed the analysis, and described your findings on this form, you then need to submit it using the Week 5 platform for assignments.
Description
Week 5: Qualitative Analysis Assignment
Code Sheet: Student Pet Peeve Data
Qualitative Analyses: The analytic method you will use to analyze the narrative data for this Assignment is called content analysis.  It requires you to read each student’s narrative and then code its content using the thematic categories on page 4 (Coding Scheme: Student Pet Peeve Data). Once you have completed the coding, you will need to describe the most common types of “pet peeves” that students have about their courses.
Description
Preview:
Every year in the hospital setting, medical errors account for more than ten thousand (10,000) hospitalization complications and injuries every day, at an estimated cost of more than $1 trillion dollars; while contributing to more than four hundred thousand (400,000) deaths per year in the United States alone (James, 2013; Stefanacci and Riddle, 2016). Highlighting the seriousness of medication administration errors (MAEs) in the healthcare setting, facilities all over the world continuously look for ways to reduce the number of MAEs by implementing changes in practice, such as using medication carts, room based nurse servers, computerized medication verification systems, and signs.