Clinical Analytics and Data Management for the DNP
396
Clinical Analytics and Data Management for the DNP
396eBook
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Overview
Praise for the First Edition:
“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
This is the only text to deliver the strong data management knowledge and skills that are required competencies for all DNP students. It enables readers to design data tracking and clinical analytics in order to rigorously evaluate clinical innovations/programs for improving clinical outcomes, and to document and analyze change. The second edition is greatly expanded and updated to address major changes in our health care environment. Incorporating faculty and student input, it now includes modalities such as SPSS, Excel, and Tableau to address diverse data management tasks. Eleven new chapters cover the use of big data analytics, ongoing progress towards value-based payment, the ACA and its future, shifting of risk and accountability to hospitals and clinicians, advancement of nursing quality indicators, and new requirements for Magnet certification.
The text takes the DNP student step by step through the complete process of data management from planning to presentation, and encompasses the scope of skills required for students to apply relevant analytics to systematically and confidently tackle the clinical interventions data obtained as part of the DNP student project. Of particular value is a progressive case study illustrating multiple techniques and methods throughout the chapters. Sample data sets and exercises, along with objectives, references, and examples in each chapter, reinforce information.
Key Features:
- Provides extensive content for rigorously evaluating DNP innovations/projects
- Takes DNP students through the complete process of data management from planning through presentation
- Includes a progressive case study illustrating multiple techniques and methods
- Offers very specific examples of application and utility of techniques
- Delivers sample data sets, exercises, PowerPoint slides and more, compiled in Supplemental Materials and an Instructor Manual
Product Details
| ISBN-13: | 9780826142788 |
|---|---|
| Publisher: | Springer Publishing Company |
| Publication date: | 03/28/2018 |
| Sold by: | Barnes & Noble |
| Format: | eBook |
| Pages: | 396 |
| File size: | 34 MB |
| Note: | This product may take a few minutes to download. |
About the Author
Martha L. Sylvia, PhD, MBA, RN, is Associate Professor at Medical University of South Carolina College of Nursing, where she provides consultation on DNP curriculum and teaches in the DNP Program. Dr. Sylvia has many years of experience in population health management with a focus on the analytic infrastructure to support the spectrum of popula- tion health management (PHM) initiatives. She is the owner and president of ForestVue Healthcare Solutions, a Clinical Analytics Consulting Company. Dr. Sylvia previously served as the director of Population Health Analytics at Johns Hopkins Healthcare and the Medical University of South Carolina (MUSC), where she designed and implemented population health analytics strategies.
Mary F. Terhaar, PhD, 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.
Table of Contents
1. Introduction to Clinical Data Management – Mary F. Terhaar
2. Basic Statistical Concepts and Power Analysis – Martha L. Sylvia
3. Value Based Purchasing – Mary F. Terhaar
4. Using Data to Support the Problem Statement – Martha L. Sylvia
5. Selecting Quality Measures – Martha L. Sylvia
6. Preparing for Data Collection – Martha L. Sylvia, Mary F. Terhaar
7. Secondary Data Collection – Emily Johnson, Martha L. Sylvia
8. Primary Data Collection – Martha L. Sylvia
9. Developing the Analysis Plan – Martha L. Sylvia, Mary F. Terhaar
10. Data Governance and Stewardship – Martha L. Sylvia, Mary F. Terhaar
11. Best Practices for Submission to the Institutional Review Board – Mary F. Terhaar, Laura A. Taylor
12. Creating the Analysis Data Set – Martha L. Sylvia
13. Exploratory Data Analysis – Martha L. Sylvia, Shannon Murphy
14. Outcomes Data Analysis – Martha L. Sylvia, Shannon Murphy
15. Summarizing the Results of the Project Evaluation – Martha L. Sylvia
16. Ongoing Monitoring – Melissa Sherry, Martha Sylvia
17. Data Visualization – Erik Sederstrom
18. Nursing Excellence Recognition and Benchmarking Programs – Heather Craven
19. Risk Adjustment – Martha L. Sylvia
20. Big Data, Data Science and Analytics – Marisa L. Wilson
21. Predictive Modeling – Martha L. Sylvia