Objective: To explore the real experience of patients with lymphoma facing the death of patients in the same room with the same disease. Methods: Using phenomenological research methods in qualitative research, in-depth interviews with 15 lymphoma patients were conducted, and the subjects were summarized and refined. Results: Three themes were refined including complex emotional stress, death related nursing needs and death-related emotional coping styles such as positive coping （spiritual coping, self-compassion, seeking for psychological intervention, religious belief）and negative coping.Conclusion: Lymphoma patients have more complicated emotional reactions after experiencing the death of patients in the same room with the same disease, and they have more death related nursing needs and special coping strategies. Clinicians should help patients eliminate adverse stimuli in a timely manner, and can regularly carry out training on death knowledge. At the same time, we should correctly evaluate patients’ emotional coping styles to help patients achieve spiritual salvation.

Objective: To analyze the research hotspots and development trends of pressure injury risk prediction based on machine learning algorithms by using bibliometric methods. Methods: CNKI, Wanfang, VIP and PubMed databases were retrieved from the inception of databases to October 31, 2022. The bibliographic co-occurrence analysis system software was used to extract the literature data. CiteSpace and gCLUTO software were used to visually cluster the literature data. Results:A total of 1 504 articles were retrieved, including 1 239 Chinese articles and 265 English articles. According to the inclusion and exclusion criteria, 89 articles were included, including 38 Chinese articles(42.70%) and 51 English articles (57.30%). The number of papers published in Chinese and English in this field showed an overall increasing trend. The included articles were published in 63 journals, including 25 Chinese journals and 38 English journals. The co-author rate of the included literature was 91.01 %. There were 45 articles with fund support（50.56 %）. The study mainly involved ICU patients, surgical patients and elderly patients. A total of 98 keywords were extracted from Chinese literature and 59 keywords were extracted from English literature. The research hotspots of Chinese literature were divided into four groups including Braden score, prediction, pressure injury and prediction model. The research hotspots of English literature were divided into four groups including intensive care unit, pressure ulcers, nomogram and machine learning. Conclusion: The researches on the risk prediction of pressure injury based on machine learning algorithm is still in the developmental stage. In the future, the scientific and integrity of the research and design of the prediction model should be strengthened. The following can also be used as future research directions such as the construction and verification of the risk prediction model of pressure injury in different specialties, the training of machine learning algorithms and nursing education research.

Objective: To explore the effect of evidence-based practice on prevention of medical device related pressure injury (MDRPI) in critically ill patients based on the Knowledge to Action Cycle. Methods: According to the standard procedure of evidence-based practice in the Knowledge to Action Cycle, the evidence-based practice for the prevention of MDRPI in critically ill patients was formed and applied to clinical effect evaluation. A non-synchronous control trial design was used. Critically ill patients with MDRPI risk admitted from July to September 2019 were included in the control group. Critically ill patients admitted to the same clinical situation from July to September 2020 were included in the intervention group. The control group received routine care and the intervention group received evidence-based practice of prevention on the basis of routine care. The incidence of MDRPI between the intervention group and the control group was compared and the feasibility and effectiveness of the prevention evidence-based practice program in specific clinical situations was evaluated. Results:There was no significant difference in baseline data between the two groups （ P>0.05）. The incidence of MDRPI in the intervention group was lower than that in the control group, there was significant statistical difference ( P<0.05).Conclusion:Evidence -based practice of MDRPI prevention among critically ill patients was carried out based on the Knowledge to Action Cycle Theory, and a scientific, feasible and evidence-based practice for MDRPI prevention was formed. It reduced the incidence of MDRPI, and improved the quality of skin management among critically ill patients.