Objective To analyze the hotpots of foreign post-intensive care syndrome researches based on bibliometric.Methods Academic literatures of post-intensive care syndrome published in the national library of PubMed database were selected from January 2010 to December 2015. The literature co-occurrence analysis system Bicomb 2.0 was applied for statistical and research data of the literature. SPSS was used for statistical analysis to show the current research focus of foreign post-intensive care syndrome so as to reveal the research trends and status.Results The analysis showed that the developed countries were more active in the current post-intensive care syndrome researches while China was in a leading position in Asia. The study focused on the disease itself from ICU and explored the causes of post-intensive care syndromes which can be divided into following five aspects:acute coronary syndrome,respiratory distress syndrome,lung transplantation,severe complications and severe systemic reaction.Conclusions With increasing attention to the post-intensive care syndrome,the analysis of the hotpots of foreign researches provides the basis and help for the Chinese researchers.

Objective:To explore the impact of applying micro-video tracing training model to emerging infectious diseases (EIDs) knowledge training on the autonomous learning ability and learning outcomes among emergency department nurses.Methods:In this study, the training content was developed from the perspective of the historical development of EIDs. The training program was constructed in the form of a micro-video classification module and periodic WeChat group push-based autonomous learning. Convenience sampling was used to select 85 emergency nurses ( n=85) from a grade A tertiary general hospital in Shanghai for micro-video tracing training. The nurses were provided with EIDs knowledge training using a module consisting of 11 episodes, each of which included 5 sessions, i.e., enlightening thinking, micro-video learning, key point consolidation, key point analysis, and extension and expansion. After the intervention, the nurses were compared for their autonomous learning ability and their knowledge, belief, and action levels of EIDs, and their degree of satisfaction with the training model was evaluated. SPSS 20.0 and GraphPad Prism 9.3.0 were used for non-parametric Wilcoxon paired tests of quartiles ( Q25, M, and Q75). Results:After the training, the emergency department nurses had significantly higher scores in overall autonomous learning ability ( Z=-4.69, P<0.001) and in each dimension: concept of self-motivation ( Z=-4.48, P<0.001), task analysis ( Z=-4.06, P<0.001), self-monitoring and regulation ( Z=-4.50, P<0.001), and self-evaluation ( Z=-4.82, P<0.001); they had significantly higher scores in overall knowledge, belief, and action levels of EIDs ( Z=-4.65, P<0.001) and in each dimension: knowledge ( Z=-4.04, P<0.001), belief ( Z=-3.24, P=0.001), and action ( Z=-4.05, P<0.001). Emergency department nurses had a high degree of satisfaction with the training model (degree of satisfaction for each item >90%). Conclusions:The micro-video tracing training model can effectively improve the autonomous learning ability of emergency department nurses and their knowledge, belief, and action levels of EIDs, with a high degree of satisfaction among the nurses, making it promising for wide use.