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

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.].