Training needs in intravenous infusion care for children in China:A cross-sectional study

Aim:This study aims to evaluate demands for general and pharmacological knowledge and training related to intravenous(IV)therapy among pediatric nurses.Materials and Methods:This multicentric cross‑sectional study involved 12,707 pediatric nurses from 100 hospitals in China.A questionnaire was used to assess information about IV drug administration training received,and the demands for pharmacology‑related knowledge,and corresponding methods of acquisition.A generalized linear model using Logit link function was employed to assess relationships between factors and multivariate analysis was conducted.Results:More than 99%of participants showed their training demands for IV therapy training.Pediatric nurses’demands and methods for acquiring IV therapy knowledge and the knowledge related to IV therapy pharmacology have significant differences in social demographic factors,previous knowledge,whether they have received training or not,and other factors(all P<0.05).Received a needlestick injury in the past month(P=0.007)and knowledge acquired through in‑hospital or out‑of‑hospital training(P=0.039)were factors that reduced the demands for methods to acquire further pharmacology‑related knowledge of IV therapy.Working in internal medicine(P=0.025)and not having experienced a needlestick injury in the past year(P=0.007)reduced the demands for IV therapy knowledge.Attended hospital(P=0.007)or departmental meetings(P=0.009),being pediatric primary nurses(P=0.044),and studied special IV guidelines(P=0.006)reduced the desire for methods to acquire IV therapy knowledge.Conclusion:There was a high demand for greater general and pharmacological knowledge related to IV therapy among pediatric nurses.Resources should be coordinated to provide ongoing training to nurses to improve the quality of IV care.

Bibliometrics and visual analysis for clinical research on intervention of traditional Chinese medicine nursing technology on rheumatoid arthritis

Objective:The objective of this study is to explore the current situation,clinical research hot spots,and trends of traditional Chinese medicine(TCM)nursing technology in rheumatoid arthritis(RA),to draw a panorama of clinical research,to provide the basis and clues for subsequent high-level evidence integration and further in-depth research.Materials and Methods:Seven databases including China National Knowledge Infrastructure,Chinese Scientific Journal Database(VIP),Wanfang Database,Chinese Biomedical Literature Database(Sino-Med),PubMed,Embase,and the Cochrane Library were searched.The bibliometric method and visualization software CiteSpace were used to conduct a multi-dimensional analysis of the included literature.Results:A total of 805 pieces of literature were included(of them,one was written in German and four in English),and the number of published literature showed an increasing trend year by year.There were only 30(3.73%)pieces of literature published in nursing journals.The hot spots of the co-occurrence map were concentrated in:(1)the nursing of fumigation in RA;(2)the efficacy evaluation of TCM nursing technology on pain,joint malformation,and joint dysfunction caused by RA.The included literature themes focused on five TCM technologies:fumigation,moxibustion,acupoint patching,acupoint injection,and Chinese herbal soaking.The beginning year and strength in TCM fumigation were 2012 and 5.2,and those in moxibustion were 2011 and 3.38.Conclusion:The related studies are on the rise.It has entered the field of international readers with clear research hot spots.However,there are still shortcomings such as little literature published in Chinese nursing core journals,few non-Chinese-related documents,and a lack of international exchanges and cooperation.The current research hot spots in this field are TCM fumigation,and the cutting-edge trend of future research may be fumigation and moxibustion technology.It is suggested that further research can focus on evidence integration and original research on the self-optimization of these two techniques.