Objective: To understand the current situation of nurses’ experience and support as the second victim of adverse nursing events, and analyze the influencing factors. Methods: A total of 421 nurses who had experienced adverse nursing events in a hospital in Tianjin were included by convenience sampling method from January to March 2022. General data questionnaire, second victim experience and support scale and mental toughness scale were used for the survey, and the influencing factors were analyzed by multiple linear regression. Results: The total score of experience and support scale for nurses as the second victim of adverse nursing events was 91.74±12.66, and the total score of mental toughness scale for nurses who had experienced adverse nursing events was 90.12±17.58. There was no correlation between the second victim experience and the total score of support, the second victim total score of pain and mental resilience, and the scores of all dimensions( P>0.05). Organizational support was positively correlated with total score of mental toughness and self-strengthening ( P<0.05), while non-job-related support was positively correlated with total score of mental toughness, tenacity, optimism and self-strengthening( P<0.05). Multiple linear regression analysis showed that educational level, professional rank and understanding of the concept of "second victim" were the influencing factors of the pain of nurses as the second victim of adverse nursing events ( P<0.05). The number of night shift per month and the total score of mental toughness were influencing factors of organizational support of nurses(P<0.05). Conclusion: The experience and support level of nurses as the second victim of adverse nursing events need to be improved. Adverse nursing events have a negative impact on the physical and mental well-being of nurses as the second victim, and the available support is short. It is suggested that nursing managers should adopt targeted methods to guide and help nurses to alleviate the negative effects of adverse events on nurses’ physical and mental health according to the characteristics of nurses, and improve the experience and support level of nurses as the second victim of adverse nursing events by improving the mental toughness level. 

Objective: To investigate the medication compliance of targeted therapy in patients with non-small cell lung carcinoma and analyze its influencing factors, so as to provide reference for improving the compliance of targeted therapy.Methods: A total of 208 patients with non-small cell lung carcinoma who received targeted therapy were included from February 2021 to July 2021 by convenient sampling method. The general information questionnaire, medication compliance scale, drug literacy questionnaire of discharged patients and social support evaluation scale were used for the survey.Results: The score of medication compliance of targeted therapy in patients with non-small cell lung carcinoma was 4.52±1.58, high compliance accounted for 2.9%, medium compliance accounted for 18.3%, and low compliance accounted for 78.8%. Multiple regression analysis showed that the influencing factors of the medication compliance of targeted therapy in patients with non-small cell lung carcinoma were drug literacy, social support, age，residence， and mode of residence.Conclusion: The compliance of targeted therapy in patients with non -small cell lung carcinoma is low. Medical staff should encourage family members to give more attention and support to patients, actively build a communication platform for patients with non-small cell lung carcinoma, enhance support among patients, further develop continuous nursing and provide medication guidance and consultation for discharged patients, so as to improve drug literacy and medication compliance of patients.

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 evaluate and summarize the best evidence of ocular disinfection before cataract surgery，and to provide evidence support for the prevention of endophthalmitis after cataract surgery. Methods: Chinese biomedical literature database and Joanna Briggs Institute(JBI), National Clinical Guidelines Database(NGC), Australian Clinical Practice Guidelines Database, New Zealand Guidelines Group, Canadian Medical Association CPG Network, UK National Institute for Health and Service Excellence(NICE)，and other databases were retrieved，researches on ocular disinfection before cataract surgery including guidelines, best practice information book, evidence summary and randomized controlled trials were extracted systematically. The retrieval time is from inception to October 24, 2021. Three researchers evaluated the quality of literatures and extracted the contents. Results: A total of 7 guidelines were included. The evidence included the type of disinfectant, the concentration of disinfectant, the scope of disinfection and the time of disinfection. Conclusion:The nursing staff should choose appropriate disinfectant and use correct method to disinfect the eyes before operation, so as to reduce the bacteria community around the eyes and conjunctival sac and prevent the occurrence of endophthalmitis after operation，to ensure the safety of patients. Due to the continuous updating of evidence and humanistic nature of nursing, evidence should be selected pertinently combining with hospital environment and clinical characteristics when the evidences were applied.