Nursing Interventions for Patient Empowerment during Intensive Care Unit Discharge: A Systematic Review.
Cecilia CuzcoRodrigo Torres-CastroYolanda TorralbaIsabel ManzanaresPilar Muñoz-ReyMarta Romero-GarcíaMaría Antonia Martínez-MomblanGemma Martínez-EstalellaPilar Delgado-HitoPedro CastroPublished in: International journal of environmental research and public health (2021)
Intensive care unit discharge is an important transition that impacts a patient's wellbeing. Nurses can play an essential role in this scenario, potentiating patient empowerment. A systematic review was conducted using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (the PRISMA Statement. Embase), PubMed/MEDLINE, CINAHL, Cochrane Central Register of Controlled Trials (CENTRAL), CUIDEN Plus, and LILACS databases; these were evaluated in May 2021. Two independent reviewers analyzed the studies, extracted the data, and assessed the quality of evidence. Quality of the studies included was assessed using the Cochrane risk-of-bias tool. Of the 274 articles initially identified, eight randomized controlled trials that reported on nursing interventions had mainly focused on patients' ICU discharge preparation through information and education. The creation of ICU nurse-led teams and nurses' involvement in critical care multidisciplinary teams also aimed to support patients during ICU discharge. This systematic review provides an update on the clinical practice aimed at improving the patient experience during ICU discharge. The main nursing interventions were based on information and education, as well as the development of new nursing roles. Understanding transitional needs and patient empowerment are key to making the transition easier.
Keyphrases
- intensive care unit
- meta analyses
- systematic review
- healthcare
- quality improvement
- mental health
- end stage renal disease
- mechanical ventilation
- case report
- chronic kidney disease
- newly diagnosed
- ejection fraction
- randomized controlled trial
- physical activity
- clinical practice
- prognostic factors
- peritoneal dialysis
- big data
- machine learning
- deep learning
- mass spectrometry
- electronic health record
- extracorporeal membrane oxygenation