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Related Experiment Videos

Predicting NCLEX-RN success: can it be simplified?

Julie Keith Waterhouse1, Pamela B Beeman

  • 1Department of Nursing, College of Health and Nursing Sciences, University of Delaware, Newark, USA.

Nursing Education Perspectives
|April 5, 2003
PubMed
Summary

A simple Risk Appraisal Instrument (RAI) effectively identified at-risk nursing students for the NCLEX-RN exam. While less accurate than complex methods, this accessible tool aids in predicting nursing licensure success.

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Area of Science:

  • Nursing Education
  • Educational Assessment

Background:

  • Predicting student success on the National Council Licensure Examination for Registered Nurses (NCLEX-RN) is crucial for program evaluation.
  • Existing prediction methods vary in statistical complexity.

Purpose of the Study:

  • To compare a simple prediction method, the Risk Appraisal Instrument (RAI), with more complex statistical approaches for forecasting NCLEX-RN success.
  • To adapt and evaluate the RAI for a specific baccalaureate nursing program.

Main Methods:

  • The Risk Appraisal Instrument (RAI) was modified for the University of Delaware nursing program, creating the Delaware RAI (DRAI).
  • The DRAI formula was retroactively applied to the records of 538 graduates (1995-1998).

Main Results:

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  • The Delaware RAI (DRAI) correctly classified nearly 61% of National Council Licensure Examination for Registered Nurses (NCLEX-RN) failures.
  • Overall classification accuracy for the DRAI was 72%.

Conclusions:

  • The Delaware RAI (DRAI) demonstrates utility as a simple, accessible tool for identifying at-risk nursing students.
  • While effective, the DRAI's predictive accuracy for NCLEX-RN outcomes is lower than statistically complex methods.