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Evaluation of a Nursing Education and Competency Algorithm by Clinical Nurse Educators: A Qualitative Study
Vincenza Coughlin1, Benjamin Bass2, Gail Geraghty2
1NYU Langone Hospital-Long Island, Mineola, New York.
The NYU Langone Health Nursing Education and Competency Algorithm (NE-CA) helps distinguish nursing competency from education. Focus groups confirmed its utility for nurse educators and stakeholders in guiding clinical practice.
Area of Science:
- Nursing Education
- Clinical Competency
- Healthcare Professional Development
Background:
- Distinguishing nursing competency from education in clinical healthcare is complex.
- The NYU Langone Health Nursing Education and Competency Algorithm (NE-CA) was created to aid competency identification.
- The algorithm aims to clarify the relationship between education and demonstrated competence in nursing.
Purpose of the Study:
- To explore themes related to the application of the NE-CA.
- To gather insights from healthcare professionals on using the NE-CA.
- To validate the NE-CA's role in nursing practice.
Main Methods:
- A qualitative study design was employed.
- Focus groups were utilized to gather data.
- Dialogue was elicited to identify key themes regarding NE-CA use.
Main Results:
- Four primary themes emerged: algorithm, competency, competency assessment process, and education.
- Qualitative findings highlight the interconnectedness of these themes.
- The study identified specific areas of focus for NE-CA implementation.
Conclusions:
- Focus group findings support the NE-CA's applicability in clinical settings.
- Clinical nurse educators, registered nurses, and organizational stakeholders can benefit from the NE-CA.
- The NE-CA serves as a valuable tool for guiding both competency and education in nursing.
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