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- W4311119987 abstract "Undergraduate nursing programs frequently utilize computer-based predictor exams to identify whether students have high or low chances in achieving licensure. This study examines the relationship between undergraduate nursing student simulation performance and NCLEX-RNⓇ success. Data from a baccalaureate graduating class of 58 nursing students who completed multiple, high-fidelity simulation experiences 12-20 months prior to NCLEX-RNⓇ testing was assessed. In an Obstetric clinical course, students completed five simulations and were evaluated using the Creighton Competency Evaluation InstrumentⓇ. Logistic regression was completed to identify significant relationships between student simulation performance and NCLEX-RNⓇ outcomes. Three of the five simulation experiences were statistically significant (p < .05) in predicting NCLEX-RNⓇ success. The results of this study indicate that simulation performance may be another method of predicting NCLEX-RNⓇ success. Implementation of this finding may provide means for early identification of at-risk students, allowing for targeted remediation interventions to best prepare them for later success on licensure examination." @default.
- W4311119987 created "2022-12-23" @default.
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- W4311119987 date "2023-03-01" @default.
- W4311119987 modified "2023-10-14" @default.
- W4311119987 title "Can Simulation Predict NCLEX-RNⓇ Success?" @default.
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- W4311119987 doi "https://doi.org/10.1016/j.ecns.2022.11.001" @default.
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