Objectives: To determine which training methods positively influenced healthcare professionals' communication skills and families' deceased organ donation decision-making.
Methods: An integrative review using systematic methods and narrative synthesis for data analysis. Electronic databases of PubMed, Cumulative Index to Nursing and Allied Health Literature (EBSCO), Embase (OVID) and ProQuest Dissertations & Theses Global, were searched between August 1997 and March 2020, retrieving 1019 papers. Included papers (n = 14) were appraised using the Medical Education Research Study Quality Instrument.
Results: Training programmes offered theory, experiential learning, feedback and debriefing including self-reflection, the opportunity to role-play and interact with simulated participants within realistic case scenarios. Programmes reported observed and self-rated improvements in communication learning and confidence. The methodological quality score averaged 13, (72% of maximum); few studies used an experimental design, examined behavioural change or families' perspectives. Weak evidence suggested training could increase organ donation authorisation/consent rates.
Conclusions: Multiple training strategies are effective in improving interprofessional healthcare professionals' confidence and learning of specialised communication. Methodological limitations restricted the ability to present definitive recommendations and further research is warranted, inclusive of family decision-making experiences.
Practice Implications: Learning of specialised communication skills is enhanced by using multiple training strategies, including role-play and debriefing.
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http://dx.doi.org/10.1016/j.pec.2021.03.019 | DOI Listing |
Curr Res Transl Med
January 2025
Department of Research and Innovation, Medway NHS Foundation Trust, Gillingham ME7 5NY, United Kingdom; Faculty of Medicine, Health and Social Care, Canterbury Christ Church University, United Kingdom.
This narrative review examines the transformative role of Artificial Intelligence (AI) and Machine Learning (ML) in organ retrieval and transplantation. AI and ML technologies enhance donor-recipient matching by integrating and analyzing complex datasets encompassing clinical, genetic, and demographic information, leading to more precise organ allocation and improved transplant success rates. In surgical planning, AI-driven image analysis automates organ segmentation, identifies critical anatomical features, and predicts surgical outcomes, aiding pre-operative planning and reducing intraoperative risks.
View Article and Find Full Text PDFTranspl Infect Dis
January 2025
Department of Infectious Diseases, Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, Sao Paulo, Brazil.
Background: Cytomegalovirus (CMV) infection remains among the leading complications after solid organ transplantation (SOT). Large international surveys mainly focused on high-income countries, detected considerable variability in the management of this infection after SOT. Limited data are available from resource-limited settings.
View Article and Find Full Text PDFHealthcare (Basel)
December 2024
Liver Transplant Unit, Hospital General Universitario Gregorio Marañón, 28007 Madrid, Spain.
: The state of patients' health following liver transplantation is influenced by a number of factors. To provide personalized nursing care, it is essential to understand the impact that the transplant has had on the patient's life. The primary aim of this study was to examine gender differences in the overall health effect following liver transplantation.
View Article and Find Full Text PDFInvestig Clin Urol
January 2025
Department of Urology, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Purpose: To evaluate the feasibility of robot-assisted ureteral reconstruction as a minimally invasive alternative to open surgery for managing ureteric complications in transplanted kidneys.
Materials And Methods: From January 2020 to December 2023, robot-assisted ureteral reconstruction was performed on fifteen kidney transplant patients with vesicoureteral reflux (VUR) or ureteral stricture who had previously failed endoscopic treatments.
Results: Twelve females and three males, with a mean age of 48.
Background: There is controversy regarding which is the best reconstruction technique after the pancreatoduodenectomy. Currently, there are no studies comparing the three most frequent reconstruction techniques: Whipple + Roux-en-Y gastrojejunostomy (WRYGJ), pyloric-preserving + Billroth II (PPBII), and Whipple + BII (WBII).
Methods: Between 2012 and March 2023, 246 patients underwent pancreaticoduodenectomy with the following type of reconstruction techniques: (1) WRYGJ: 40 patients; (2) PPBII: 118 patients; and (3) WBII: 88 patients.
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