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Nurse Educ Pract ; 42: 102654, 2020 Jan.
Artículo en Inglés | MEDLINE | ID: mdl-31733526

RESUMEN

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.


Asunto(s)
Bachillerato en Enfermería/normas , Medicina Militar/educación , Atención de Enfermería/normas , Estudiantes de Enfermería/psicología , Adulto , Curriculum , Bachillerato en Enfermería/métodos , Bachillerato en Enfermería/estadística & datos numéricos , Inglaterra , Femenino , Teoría Fundamentada , Humanos , Masculino , Persona de Mediana Edad , Familia Militar/psicología , Familia Militar/estadística & datos numéricos , Medicina Militar/métodos , Atención de Enfermería/métodos , Atención de Enfermería/psicología , Investigación Cualitativa , Estudiantes de Enfermería/estadística & datos numéricos , Veteranos/psicología , Veteranos/estadística & datos numéricos
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