Login
Communauté Vinci
Extérieur
Si votre nom d'utilisateur ne se termine pas par @vinci.be ou @student.vinci.be, utilisez le formulaire ci-dessous pour accéder à votre compte de lecteur.
Titre : | Nurses work motivation caring for an immigrant population: A qualitative historical analysis (2023) |
Auteurs : | Tamar Yellon ; Shvarts Shifra ; Julie Benbenishty |
Type de document : | Article |
Dans : | Nurse Education in Practice (Vol. 68, March 2023) |
Article en page(s) : | 103564 |
Note générale : | https://doi.org/10.1016/j.nepr.2023.103564 |
Langues: | Anglais |
Descripteurs : |
HE Vinci Emigrants et immigrants ; Engagement professionnel ; Infirmières et infirmiers ; Motivation ; Phénoménologie ; Soins infirmiers |
Résumé : | Aim Qualitative Phenomenological analysis of nurses' experience working with immigrants, exploring the dimension of work motivation. Background Nurses' professional motivation and job satisfaction affects quality of care, work performance, burnout and resilience. The challenge of maintaining professional motivation is reinforced when providing care to refugees and new immigrants. In recent years, a large number of refugees sought sanctuary in Europe, resulting in the formation of refugee camps and asylum centers. Medical staff - including nurses - are involved in patient-caregiver encounter treating multicultural immigrant/refugee population. Design and methodology A qualitative Phenomenological Methodology was employed. In-depth semi structured interviews and archival research were both used. Results Study population ? 93 certified nurses working between the years 1934?2014. Thematic and text analysis was employed. Four main motivation themes emerged from the interviews: duty, mission, perception of devotion and the general responsibility to bridge the cultural gap for the immigrant patients. Conclusion The findings emphasize the importance of understanding nurses' motivations in working with immigrants. |
Disponible en ligne : | Oui |
En ligne : | https://login.ezproxy.vinci.be/login?url=https://www.sciencedirect.com/science/article/pii/S1471595323000264 |