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Educating nurses to deliver optimum care to military veterans and their families

Finnegan, Alan
Di Lemma, Lisa
McGhee, Stephen
Moorhouse, Ian
Lambe, Rachael E.
Soutter, Ellen M.
Templeman, Jenni
Ridgway, Victoria
Hynes, Celia
Simpson, Robin
Other Titles
Abstract
The aim of the project was to help prepare the future nursing workforce to provide optimum care for the Armed Forces Community. Structured evidenced-based educational sessions were designed and then delivered at two Universities in England. This educational model included a flipped approach, didactic classroom teaching, blended learning, and information technology. Educational sessions were provided to 468 first year Bachelor of Nursing undergraduate students in 2017 and 2018. A mixed methods evaluation included a quasi-experiential design with pre and post-test data followed by research interviews conducted by student nurses and analysed using a modified Grounded Theory. Post session evaluation demonstrated a significant improvement in students' knowledge. 93% agreed that the training was useful, 95% felt that nurses should be aware of the healthcare needs of the Armed Forces Community, and 89% indicated that the subject matter should be included in the undergraduate curriculum. A qualitative theoretical model was built from four major clusters: the military community; student's identity, clinical engagement, and future practice. These educational sessions are being introduced into a growing number of United Kingdom Universities to create future nursing leaders with a better insight into the large and diverse Armed Forces Community.
Citation
Finnegan, A. P., Di Lemma, L., Moorhouse, I., Lambe, R. E., Soutter, E. M., Templeman, J., ... & McGhee, S. (2020). Educating nurses to deliver optimum care to military veterans and their families. Nurse Education in Practice, 42, 102654.
Publisher
Elsevier
Journal
Nurse Education in Practice
Research Unit
PubMed ID
PubMed Central ID
Type
Article
Language
Description
Series/Report no.
Military Nursing / Defence Nursing
ISSN
EISSN
1873-5223
ISBN
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