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Intensive Care Nurses' Experience of Caring in Greece; A Qualitative Study.
- Source :
- Healthcare (2227-9032); Jan2023, Vol. 11 Issue 1, p164, 21p
- Publication Year :
- 2023
-
Abstract
- Background: Whilst nurses and critical care services have been at the forefront of the COVID-19 pandemic, it has become more apparent that intensive care nurses are presented with challenging ethical and clinical decisions and are required to care for individuals with critical illnesses under high-pressure conditions. This is not a new phenomenon. The aim of this study, which was conducted before the outbreak of COVID-19, was to explore the experience of caring through the narratives of intensive care nurses in Greece. Methods: A qualitative study was conducted through in-depth, semi-structured interviews with nineteen ICU nurses in Athens. Transcripts were subjected to Braun and Clarke's thematic analysis and organised with Atlas.ti v8 QDA software. Results: The intensive care nurses' experience of caring in Greece encompassed four themes: (A) being "proximal", "co-present" and caring with empathy, (B) being "responsible" for your patient and negotiating with the doctors, (C) technology and "fighting with all you've got", and (D) "not being kept informed" and disappointment. Conclusions: The narratives of this study highlight that ICU nurses in Greece provide patient-centred and compassionate care. Nurse leaders should develop appropriate healthcare policies so as to ensure the adequate provision of staff, specialist education, and support to nurses working in critical care. Failure to address these issues may lead to poor quality of care and negative patient outcomes. [ABSTRACT FROM AUTHOR]
- Subjects :
- INTENSIVE care units
RESEARCH
MEDICAL quality control
INTENSIVE care nursing
NURSES' attitudes
EMPATHY
RESEARCH methodology
HEALTH facility administration
INTERVIEWING
LEADERS
PATIENT-centered care
CRITICAL care nurses
NURSE-patient relationships
QUALITATIVE research
COMPARATIVE studies
COMPASSION
HUMANITY
RESPONSIBILITY
NURSES
DESCRIPTIVE statistics
RESEARCH funding
THEMATIC analysis
JUDGMENT sampling
STATISTICAL sampling
DATA analysis software
EVIDENCE-based nursing
Subjects
Details
- Language :
- English
- ISSN :
- 22279032
- Volume :
- 11
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- Healthcare (2227-9032)
- Publication Type :
- Academic Journal
- Accession number :
- 161479185
- Full Text :
- https://doi.org/10.3390/healthcare11020164