The traditional new graduate nurse (NGN) orientation process places NGN with an experienced preceptor for 24 weeks and requires clinical skills checklists to be completed by the preceptor, a practice which is not an evidence-based practice for orienting NGNs. The purpose of this quality improvement project was to develop an evidence-based orientation to decrease time requirements and standardize the processes and evaluation of the NGN in the emergency department. The project was informed by Benner's novice to expert theory and focused on acquisition of clinical skills. The project team included 6 stakeholders: the Doctor of Nursing Practice student-leader, the unit manager, and several preceptors and novice nurses. The current evidence was identified utilizing various search terms via OVID, CINAHL, and MEDLINE. Five emergency department nurse residency programs and 7 rubric-based criterion articles were identified and evaluated. The team synthesized the available evidence to create the program. Resulting products included guidelines, evaluation rubrics, and projected pathways for ongoing development. Content validation was undertaken using peer review by 2 nurse scholars with area expertise, after which the project team revised all products based on feedback. Together, these products comprise an evidence-based solution to the problematic orientation of NGNs in the institution's emergency department. Adoption of methods that have proven valuable in undergraduate education, such as incorporation of syllabi and rubrics, may increase retention and improve clinical judgment in the NGN. These improved educational outcomes will, in turn, promote improved health outcomes for patients. Outcomes for the project will be monitored using retention rates and the results of the Casey-Fink Graduate Nurse Experience Survey.
Identifer | oai:union.ndltd.org:waldenu.edu/oai:scholarworks.waldenu.edu:dissertations-2559 |
Date | 01 January 2015 |
Creators | Zaleski, Mary Ellen |
Publisher | ScholarWorks |
Source Sets | Walden University |
Language | English |
Detected Language | English |
Type | text |
Format | application/pdf |
Source | Walden Dissertations and Doctoral Studies |
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