Objective:To systematically review the risk prediction model for vaginal delivery failure in low-risk primiparas, so as to provide reference for clinical practice and future research.Methods:Literature on the risk prediction model for vaginal delivery failure in low-risk primiparas was retrieved from China National Knowledge Infrastructure, WanFang Data, China Biology Medicine disc, PubMed, Embase, Cochrane Library, CINAHL, Web of Science and so on. The search period was from the establishment of the database to September 20, 2023. Two researchers independently screened literature, extracted data, and evaluated the risk of bias in the included studies.Results:A total of 10 articles were included, involving 14 models. Twelve models were constructed using Logistic regression, and the area under the receiver operating characteristic curve of the models ranged from 0.680 to 0.847. Common predictive factors of the model involved age of pregnant woman, height of pregnant woman, pre-pregnancy body mass index, gestational weight gain, gestational week, fetal birth weight, induction method, fetal biological measurements, and pre-delivery cervical Bishop score.Conclusions:The predictive performance of the vaginal delivery failure risk prediction model for low-risk primiparas is good, but the model construction method is relatively simple, and the overall bias risk is high. The model needs to be further optimized through machine learning, artificial intelligence, and other means, and extensively validated externally.

Objective:To sort out the development context of precision nursing and compare and analyze the advantages and shortcomings in this field at home and abroad, so as to provide reference for the development of precision nursing in China.Methods:Through Web of Science core collection and CNKI database, literature related to precision nursing at home and abroad from January 1, 2012 to December 31, 2022 was retrieved. CiteSpace software was used to draw a scientific knowledge map for visualization analysis.Results:A total of 509 literatures in Chinese and 1 037 literatures in English were detected, and the annual number of publications showed a significant upward trend since 2015. The high-yielding institutions were mostly located in the United States, and the distribution of domestic institutions was relatively dispersed. From the perspective of research hotspots and frontiers, foreign research focused on health promotion and disease prevention research oriented by biological information, while Chinese research focused on individualized nursing research oriented by patient needs.Conclusions:In recent 10 years, the research of precision nursing in China has developed rapidly, but relatively speaking, the depth and breadth of its research still need to be improved. Chinese research should learn from the experience of foreign precision nursing practice and explore the mode of precision nursing that conforms to national conditions in China.

Objective To conduct a scoping review of research on the application of mobile health(mHealth)in the management of home enteral tube feeding,so as to provide references for future research and clinical practice.Methods A literature search was performed in the PubMed,Cochrane Library,Embase,Web of Science,CINAHL,CNKI,Wanfang,and CMB databases to identify relevant studies.The search period spanned from the establishment of databases until February 18,2024.According to the scoping review framework,2 researchers independently screened the studies,extracted the data of the included studies,and collaborated on the final analysis.Results A total of 24 studies were included.9 studies were conducted with interventions based on nursing models such as discharge planning model,"Hospital to Home"nutrition management model,guided care nursing model.The management forms included application,network communication software,and website.The content elements included education,assessment,consultation,referral,self-management,electronic health archive,appointment service,peer support.The outcome indicators included patients'physical and mental health,self-management ability,caregiver competence,family burden and user assessment.Conclusion The mHealth has played a positive role in the management of home enteral tube feeding.In the future,it is recommended to establish a multidisciplinary team to conduct high-quality research and continuously improve the form and content of mHealth management.