Strong data management knowledge and skills are a requirement for every DNP graduate. 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 effects. 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 and methods 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 cost-savings and evaluation of program outcomes. The text provides very specific examples of techniques using SPSS software that is familiar to graduate nursing students. Chapters include objectives, references, and examples from translation projects to assist students in learning and applying chapter content. Appendices describe numerous tools and tricks of the trade compiled by the authors over several years of teaching clinical data management 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 execute evaluation of DNP innovations/projects Includes very specific examples of techniques using software that is familiar to graduate nursing students
Martha L. Sylvia, PhD, MBA, RN, is Assistant Professor (JHUSON), with a joint appointment in the School of Medicine, Associate Faculty, Welch Center for Prevention, Epidemiology, and Clinical Research, and Lead Developer Population Health Analytics, Johns Hopkins Healthcare. Dr. Sylvia currently participates in four research projects with Johns Hopkins University, including serving as the PI on Calculating Cost Savings for Care Management Programs (Johns Hopkins Healthcare) and as PI on An Evaluation of The Access Program (TAP) at East Baltimore Medical Center (Hopkins Community Physicians and Urban Health Institute). She has published eight peer-reviewed research papers, has presented internationally on data management in Australia, Germany, Japan, and Malaysia, and has been an invited speaker nationally at AACN Doctoral Conference, HMO Research Network, and the American Society of Health Risk Management, among many others. Dr. Sylvia developed and has taught three years of sections I and II of the Clinical Data Management course in the DNP program at Hopkins.
Mary F. Terhaar, DNSc, RN, is Associate Professor and Director, DNP Program, Johns Hopkins University School of Nursing. She has received awards from NLN for Health Information Technical Scholar (2010) and the National Research Service Award (NIH). She is an active researcher, currently serving as PI of a $1.9M funded project on developing a culture and climate for nursing excellence for the Greater Baltimore Medical Center and a $0.6M project to Stimulate Practice Innovation: DNP Career Development to Impact Education and Practice. Dr. Terhaar has published 21 peer-reviewed journal articles, seven book chapters, and has delivered many presentations, internationally and nationally, most recently at the AACN Doctoral Conference. She serves as an expert case reviewer and expert witness, as well as a consultant for WHO, STT, and for schools of nursing including Old Dominion and Loyola in the U.S. and internationally in South Africa, Taiwan, and Switzerland.
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