‘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
Tabla de materias
‘
Contributors ix
Foreword by Martha N. Hill, Ph D, RN, FAAN, and Karen B. Haller, Ph D, 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
Index
‘Sobre el autor
Mary F. Terhaar, Ph D, RN, ANEF, FAAN, is Associate Dean for Graduate Programs at the Fitzpatrick College of Nursing at Villanova University. She is a respected leader in translation, education, and team collaboration. Across 40 years of leadership spanning diverse systems, roles, and clinical services; she has framed problems as challenges, built high-functioning teams with diverse talents, and led development and execution of replicable solutions. Dr. Terhaar has authored or co-authored more than 70 manuscripts and chapters, as well as two broadly adopted texts on translation, evaluation, and DNP education. She is sought as a consultant on curriculum design and continuous improvement in nursing education and provides support to programs working to deliver high impact, rigorous education. She is an active site visitor and team leader for the Commission on Collegiate Nursing Education. Dr. Terhaar has advanced DNP education by creating processes, curricula, and resources which guide faculty and students across the nation and in five countries to produce outcomes. The pioneering work of teams she has led provides guidance for IRB submission, scholarly writing, data management, translation, multiple significant practice challenges, and now entry and success in doctoral education for nurses on the rise. All are increasingly included in curricula which prepare graduates to meet the Quadruple Aim. Dr. Terhaar has led a series of programs to increase diversity in the workforce by increasing diversity in graduate and undergraduate education. Most recently, she developed and lead an innovative program to increase diversity and belonging among undergraduate nursing students in collaboration with the Independence Blue Cross Foundation, and North Philadelphia high schools. Dr. Terhaar is co-founder of an innovative program that helps prospective students remove barriers to entering doctoral study, which has increased successful applications across diverse groups of nurses. She also developed a post-doctoral program for DNPs which increased dissemination, socialization, collaboration, and impact. She has helped to increase the caliber and rigor of scholarship produced by DNPs, appropriate submissions to IRBs, reliability of data and means testing, successful publications, and outcomes from DNP projects.
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