Clinical analytics and data management for the DNP / Martha L. Sylvia, Mary F. Terhaar.

ISBN:

9780826129741

Title:

Author:

Sylvia, Martha L., author.

Personal Author:

Sylvia, Martha L., author.

Physical Description:

1 online resource (xv, 220 pages) : illustrations

Contents:

Introduction to clinical data management / Mary F. Terhaar -- Basic statistical concepts and power analysis / Martha L. Sylvia -- Preparing for data collection / Martha L. Sylvia -- Developing the analysis plan / Martha Sylvia & Mary F. Terhaar -- Data governance and stewardship / Martha Sylvia & Mary F. Terhaar -- Creating the analysis data set / Martha L. Sylvia -- Exploratory data analysis / Martha L. Sylvia & Shannon Murphy -- Outcomes data analysis / Martha L. Sylvia & Shannon Murphy -- Summarizing the results of the project evaluation / Martha L. Sylvia -- Ongoing monitoring / Melissa Sherry.

Local Note:

eBooks on EBSCOhost

Subject Term:

Nursing -- Research.

Medicine.

Added Author:

Terhaar, Mary F.,

Format:

Electronic Resources

Electronic Access:

Click here to view

Publication Date:

2014

Publication Information:

New York, NY :

Springer Publishing Company, LLC,

[2014]

Available:*

Shelf Number	Material Type	Copy	Shelf Location	Status
610.73072 23	1:E-BOOK	1	1:ONLINE	Searching... Unknown

Bound With These Titles

On Order

Summary

"DNP students may struggle with data management, since their projects are not research, but quality improvement, and this book covers the subject well. I recommend it for DNP students for use during their capstone projects." Score: 98, 5 Stars.-- Doody's Medical Reviews

Strong data management knowledge and skills are a requirement for every DNP. This unique text focuses on fostering the rigorous, meticulous data management skills that can improve care experience, health outcomes, and cost savings worldwide. It provides a knowledge base, describes the regulatory and ethical context, outlines a process to guide evaluation, presents a compendium of resources, and includes examples of evaluation of translation. It takes the DNP student step by step through the complete process of data management, including planning, data collection, data governance and cleansing, analysis, and data presentation. Moreover, the text continues the process of establishing a sturdy clinical data management (CDM) skill base by presenting techniques for ongoing project monitoring after analysis and evaluation are concluded.

A progressive case study illustrates multiple techniques throughout each chapter, enabling students to apply what they have learned to their own DNP projects. The book features information from professors who are highly experienced in teaching CDM as well as a renowned scholar of population health analytics. The text provides very specific examples of techniques using SPSSÆ software that is familiar to graduate nursing students. Chapters include objectives, references, and examples from translation projects to assist students to learn and apply chapter content. Appendices describe numerous tools and practical strategies compiled by the authors over several years of teaching CDM to DNP students.

Key Features: Meets the specific data management needs of the DNP student from planning to presentation Presents a wide selection of data display options through frequent illustrations of SPSS data Uses a progressive case study to illustrate multiple techniques and methods throughout chapters Provides substantial content necessary for the DNP student to rigorously evaluate DNP innovations/projects Includes very specific examples of the application and utility of these techniques using software that is familiar to graduate nursing students