Assessment of determinants predicting success on the Saudi Nursing Licensure Examination by employing artificial neural network.

Background: This study aims to use the artificial neural network as a novel approach to explore factors that determine and predict successful performance of nursing interns in Saudi Arabia on the Saudi Nursing Licensure Examination (SNLE).

Materials And Methods: The study employed a cross-sectional, analytic approach. A total of 62 nursing interns were recruited by convenience sampling from the University of Hail to participate.

Quality of life of nursing internship students in Saudi Arabia during the COVID-19 pandemic: A cross-sectional study.

Background: The COVID-19 pandemic caused an unprecedented negative impact on the usual way of life. The fight against this fatal virus demands the united force of healthcare workers, including nurse interns (NIs). Therefore, being unprepared for a crisis of this magnitude which never happened in a century, nurses and NIs experience stress, trauma, and mental health issues that affect their quality of life (QoL).