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.

PubMed
Summary

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.

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