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Published on: June 21, 2010
Building Consensus on the Essential Quantitative Competencies, Skills, and Practices for Entry-Level Nurses.
Daniel Ozimek1, Heather Bowers, Lindsay Good
1About the Authors Daniel Ozimek, PhD, is associate professor of practice in mathematics, Saint Joseph's University, Lancaster, Pennsylvania. Heather Bowers, MSN, RN, is clinical assistant professor, nursing, Purdue University Northwest, Hammond, Indiana. Lindsay Good, MEd, is instructor of practice, mathematics, Saint Joseph's University. Beth Kelch, MS, is associate professor, mathematics, Delta College, University Center, Michigan. Maryann Valcourt, PhD, RN, is associate professor, nursing, Marymount University, Arlington, Virginia. The authors thank the following for their contributions to this study: Dr. Rachel Bates (Cowley College), Dr. Loi Booher (University of Central Arkansas), Dr. Courtney Orelup-Fitzgerald (Assumption University), Dr. Victor Piercey (Ferris State University), and Dr. Gayle Watson (Pennsylvania State University). Contact Dr. Ozimek at dozimek@sju.edu for more information.
Nursing educators identified essential quantitative skills for new nurses, highlighting differences in probability and statistics education. This consensus guides future curriculum development for improved nursing practice.
Area of Science:
- Nursing Education
- Quantitative Skills Assessment
- Mathematics in Healthcare
Background:
- National recommendations emphasize the need to define essential quantitative competencies for safe nursing practice.
- Existing frameworks lack consensus on the specific quantitative skills required for entry-level nurses.
Purpose of the Study:
- To establish consensus among nursing and mathematics educators on critical quantitative competencies for entry-level nurses.
- To identify essential quantitative skills, skills, and practices vital for safe and effective nursing care.
Main Methods:
- A descriptive survey design was employed, collecting data from nursing educators across the United States.
- Participants rated 64 quantitative items on a three-item Likert scale (essential, nice to have, not necessary).
- Fisher's exact test analyzed differences in perceptions between associate and bachelor's degree nursing programs.
Main Results:
- A total of 76 educators from 31 states participated in the survey.
- Five key content domains encompassing essential quantitative items were identified.
- Significant differences in the perceived importance of probability and statistics competencies were observed between educational levels.
Conclusions:
- The study provides a foundational consensus on essential quantitative competencies for nursing education.
- Findings support collaborative efforts to refine educational curricula and teaching practices for nursing students.
- Addressing identified gaps in quantitative education is crucial for enhancing the preparedness of future nurses.
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