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Clinical Analytics and Data Management for the DNP

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Clinical Analytics and Data Management for the DNP

SKU# 9780826129734

Author: Martha L. Sylvia PhD, MBA, RN


  • Mary F. Terhaar DNSc, RN
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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

Product Details 

  • Publication Date May 05, 2014
  • Page Count 240
  • Product Form Paperback / softback
  • ISBN 13 9780826129734
  • EISBN 9780826129741

About The Author(s) 

Mary F. Terhaar, DNSc, RN, FAAN,

is professor and associate dean for Academic Affairs at the Frances Payne Bolton School of Nursing at Case Western Reserve University. She is responsible for the quality and integrity of academic programing. Formerly, Dr. Terhaar served as director of the DNP program and was an associate professor at Johns Hopkins University School of Nursing. She has over 35 years’ experience in perinatal, neonatal, and administrative nursing and has led performance improvement and translation efforts in large academic health care institutions, community hospitals, and educational programs. Dr. Terhaar has led the faculty in preparing clinical scholars who will transform practice and care through the meticulous translation of evidence toward the solution of significant practice challenges. She teaches across the baccalaureate, graduate, and doctoral programs and serves as editor for

eNeonatal Review

. Dr. Terhaar designed the second course in the Scholarly Project sequence, as well as the Foundations for Scholarship course, which prepares students for the return to academics, for the rigor of scholarly writing, and for impactful dissemination. She has published and presented the curriculum, the multimodal approach to evaluation, performance improvement activities designed to increase the rigor of the education provided to the DNP, and the outcomes that have resulted from the work of both the faculty and students.

Table of Contents 

Contributors ix

Foreword by Martha N. Hill, PhD, RN, FAAN, and Karen B. Haller, PhD, RN, FAAN xi

Preface xiii

Acknowledgments xvii

1. Introduction to Clinical Data Management 1

Mary F. Terhaar

2. Basic Statistical Concepts and Power Analysis 7

Martha L. Sylvia

3. Preparing for Data Collection 21

Martha L. Sylvia

4. Developing the Analysis Plan 39

Martha L. Sylvia and Mary F. Terhaar

5. Data Governance and Stewardship 61

Martha L. Sylvia and Mary F. Terhaar

6. Creating the Analysis Data Set 73

Martha L. Sylvia

7. Exploratory Data Analysis 109

Martha L. Sylvia and Shannon Murphy

8. Outcomes Data Analysis 141

Martha L. Sylvia and Shannon Murphy

9. Summarizing the Results of the Project Evaluation 167

Martha L. Sylvia

10. Ongoing Monitoring 189

Melissa Sherry