Optimizing NCLEX-RN Pass Rate Performance Using an Educational Microsystems Improvement Approach

Copyright 2018, SLACK Incorporated..

BACKGROUND: Improvement methods were applied to optimize NCLEX-RN first-attempt pass rates in an Accelerated Bachelor of Science in Nursing (ABSN) program.

METHOD: An improvement team was formed comprising nursing faculty, a student, faculty leading a course in the ABSN program involved in preparing students for NCLEX-RN, and a faculty expert in improvement science. Two Plan-Do-Study-Act (PDSA) cycles aimed at increasing practice and mastery were conducted. Effects were assessed using inferential statistics and statistical process control analyses.

RESULTS: One hundred eighty-four ABSN students participated over two semesters. Average practice questions per student per semester increased from 1,000 questions at baseline to 2,130 questions (p < .01) postintervention, average practice examinations from 2.9 to 3.2 (p < .05), and average practice test mastery from 6.8 to 7.2 on an 8-point scale (p < .05). First-attempt NCLEX-RN pass rates increased from 76.7% to 86.2% (p < .05).

CONCLUSION: ABSN NCLEX-RN performance improved subsequent to this microsystem-based improvement effort. [J Nurs Educ. 2018;57(5):265-274.].

Medienart:

E-Artikel

Erscheinungsjahr:

2018

Erschienen:

2018

Enthalten in:

Zur Gesamtaufnahme - volume:57

Enthalten in:

The Journal of nursing education - 57(2018), 5 vom: 01. Mai, Seite 265-274

Sprache:

Englisch

Beteiligte Personen:

Oliver, Brant J [VerfasserIn]
Pomerleau, Mimi [VerfasserIn]
Potter, Mertie [VerfasserIn]
Phillips, Andrew [VerfasserIn]
Carpenter, Susan [VerfasserIn]
Ciesielski, Steve [VerfasserIn]
Pusey-Reid, Eleanor [VerfasserIn]
Marcous, Alexia [VerfasserIn]
Grobecker, Pat [VerfasserIn]

Links:

Volltext

Themen:

Journal Article

Anmerkungen:

Date Completed 13.08.2018

Date Revised 13.08.2018

published: Print

Citation Status MEDLINE

doi:

10.3928/01484834-20180420-03

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM283657324