Nurses Training and Capacitation for Palliative Care in Emergency Units: A Systematic Review.
Sonia Ortega RomeroAlmudena Velando-SorianoJosé Luis Romero-BéjarKeyla Vargas-RománLuis Albendín-GarcíaNora Suleiman MartosGuillermo A Cañadas-De la FuentePublished in: Medicina (Kaunas, Lithuania) (2020)
Palliative care (PC) prevents and alleviates patients´ suffering to improve their quality of life in their last days. In recent years, there has been an increase in visits to the emergency services (ES) by patients who may need this type of care. The aims were to describe the training and capacitation of nurses from ES in PC. Accordingly, a systematic review was performed. Medline, Scopus, and Cumulative Index to Nursing and Allied Health Literature (CINAHL) databases were used. The search equation was "Palliative care and nursing care and emergency room". A total of 12 studies were selected. The studies agree on the need for training professionals in PC to provide a higher quality care, better identification of patient needs and to avoid unnecessary invasive processes. Similarly, the implementation of a collaborative model between ES and PC, the existence of a PC specialized team in the ES or proper palliative care at home correspond to a decrease in emergency visits, a lower number of hospitalizations or days admitted, and a decrease in hospital deaths. The development of PC in the different areas of patient care is necessary. Better palliative care leads to a lower frequency of ES by terminal patients, which has a positive impact on their quality of life. Access to PC from the emergency unit should be one of the priority health objectives due to increment in the aged population susceptible to this type of care.
Keyphrases
- palliative care
- healthcare
- advanced cancer
- public health
- emergency department
- mental health
- end stage renal disease
- quality improvement
- ejection fraction
- newly diagnosed
- chronic kidney disease
- systematic review
- patient reported outcomes
- risk assessment
- machine learning
- patient reported
- artificial intelligence
- mouse model
- climate change
- acute care
- case control