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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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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.