Determining if a nursing graduate could pass the registered nurse licensing examination on the first attempt is complex (Haas, Nugent, & Rule, 2004). Nationally, the pass rate decreased from 81.7% in 2005 to 73.7% in 2006, showing a downward trend in a nursing candidates’ ability to pass the licensing examination (National Council of State Boards of Nursing, 2006d). The declining pass rate leaves a pool of candidates unlicensed to practice nursing in the event of a public health crisis when a large number of nurses are critical to mitigate mortality and morbidity (Aiken, Clarke, Cheung, Sloane, & Silber, 2004; American Association of Colleges of Nursing, 2006; Centers for Disease Control, 2006b; U.S. Department of Health and Human Services, 2006b; Veenema, 2003; World Health Organization, 2006d). The problem is that there is a lack of knowledge regarding whether or not Assessment Technology Institute (ATI) test scores can predict first time pass rates (ATI, 2003) to identify students at-risk for failure who need remediation. This retrospective, quantitative, correlational research study analyzed the total population of associate degree in nursing students in a university in Pennsylvania who took the 2003-2006 ATI tests. The scores were analyzed in relation to first-time pass-fail attempts to determine any correlation between test scores and the ability of a graduate to pass the registered nurse licensing examination on the first attempt. A novel nursing program performance improvement model was created to measure student pass-fail rates and to identify a nursing program at-risk-for success or failure. The data derived from the model could drive evidence-based decision-making to refine the system of nursing education, mitigate the nursing shortage, and provide a healthy supply of nurses to meet the 21st century health care challenges in Pennsylvania.
|School:||University of Phoenix|
|School Location:||United States -- Arizona|
|Source:||DAI-A 68/11, Dissertation Abstracts International|
|Subjects:||Educational evaluation, Health education, School administration, Higher education|
|Keywords:||Assessment Technology Institute, Attrition, Catastrophic events, NCLEX-RN, Nursing education, Pennsylvania, Quality improvement, Quantitative, Remediation|
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