Nursing leaders have called for more bachelor-of-science-in-nursing-(BSN)-prepared nurses to meet workforce demands. There is limited capacity in BSN programs to meet the projected demand. Currently, associate degree in nursing (ADN) programs produce the majority of registered nurses. To increase the number of BSN graduates, nurse educators recommend innovative educational models for seamless progression from the ADN to the BSN. Concurrent enrollment ADN-BSN programs offer one potential model to produce more BSN graduates. The purpose of this study was to describe the process of developing and implementing concurrent enrollment ADN-BSN programs. The research question was as follows: What is the experience of nurse educators in developing and implementing concurrent enrollment ADN-BSN completion programs? The method of inquiry was a generic qualitative descriptive study. Seventeen participants were recruited from concurrent enrollment programs across the country. Data collection occurred through semi-structured email interviews. The data was manually coded using holistic, descriptive and in vivo coding methods and then analyzed using situational mapping for similar patterns and thematic concepts. There were five conceptual themes that described the process of developing and implementing concurrent enrollment ADN-BSN programs. The five themes emerged as championing the program, establishing partnerships, predicting student success, promoting student success, and adapting to change. The implications to nurse educators are a better understanding of an innovative educational model to produce more BSN graduates. More BSN graduates benefits the nursing profession. Further research is needed to understand the benefits and drawbacks of concurrent enrollment programs and the factors that influence adoption of this educational model.
| Identifer | oai:union.ndltd.org:nova.edu/oai:nsuworks.nova.edu:hpd_con_stuetd-1029 |
| Date | 01 January 2016 |
| Creators | Hawkins, Janice Evans |
| Publisher | NSUWorks |
| Source Sets | Nova Southeastern University |
| Detected Language | English |
| Type | dissertation |
| Format | application/pdf |
| Source | Student Theses, Dissertations and Capstones |
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