Conectar
Intraoperative anaesthesia handoffs represent a risk point in the care of surgical patients. Although often necessary to prevent fatigue, improve vigilance and optimise operational efficiency, critical information can be lost, potentially leading to postoperative complications. Structured handoffs can increase the transfer of knowledge during intraoperative anaesthesia handoffs, improving their quality. We therefore propose to test the primary hypothesis that a semi-structured intraoperative anaesthesia handoff cognitive aid reduces the number of serious 30-day complications in surgical patients.
We will enrol adults having non-cardiac surgery who are scheduled to have an intraoperative anaesthesia handoff for operational reasons. We plan a cluster randomised trial (enrolling over 18 months, anticipated sample size approximately 4500 patients) that will compare the Epic Electronic Health Record intraoperative anaesthesia handoff cognitive aid to routine handoffs. Our primary outcome will be the number of serious postoperative complications within 30 days. Our secondary outcomes will be: (1) the number of minor complications; and (2) the duration of postoperative hospitalisation. Bayesian analysis with generalised linear multilevel modelling will be used to estimate the effect of structured handoffs on the primary and secondary outcomes.
This study has been approved by the local institutional review board with a waiver of informed consent. Results will be disseminated in the medical literature with de-identified data available on request.
Decision support systems have been widely used in healthcare in recent years; however, there is lack of evidence on global trends and hotspots. This descriptive bibliometric study aimed to analyze bibliometric patterns of decision support systems in nursing. Data were extracted from the Web of Science Core Collection. Published research articles on decision support systems in nursing were identified. Co-occurrence and co-citation analysis was performed using CiteSpace version 6.1.R2. In total, 165 articles were analyzed. A total of 358 authors and 257 institutions from 20 countries contributed to this research field. The most productive authors were Andrew Johnson, Suzanne Bakken, Alessandro Febretti, Eileen S. O'Neill, and Kathryn H. Bowles. The most productive country and institution were the United States and Duke University, respectively. The top 10 keywords were “care,” “clinical decision support,” “clinical decision support system,” “decision support system,” “electronic health record,” “system,” “nursing informatics,” “guideline,” “decision support,” and “outcomes.” Common themes on keywords were planning intervention, national health information infrastructure, and methodological challenge. This study will help to find potential partners, countries, and institutions for future researchers, practitioners, and scholars. Additionally, it will contribute to health policy development, evidence-based practice, and further studies for researchers, practitioners, and scholars. 
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