1.Survey on the current status of hospital infection management quality control centers at county and district levels in guangdong province
Ling HE ; Shumei SUN ; Jiajin CHEN ; Xiaoyu LIN ; Feng CAI ; Tingli SHI ; Fang YU
Modern Hospital 2024;24(7):985-989
Objective To investigate the current status of infection management quality control centers in county-level hospitals in Guangdong Province,providing reference for the development of quality control management programs for county-level infection control centers by provincial infection control centers,and exploring corresponding management strategies.Methods A survey was conducted using the QuestionStar questionnaire platform to investigate county-level quality control centers established in Guangdong Province before December 31,2023.The survey covered the establishment time,personnel structure,level of in-formatization,management,quality control,and training of hospital infection management professional quality control centers.Results There are 68 county-level infection control centers in Guangdong Province,with a coverage rate of 50.37%,and 95.59%of them have been established within the past five years.Experts mainly come from clinical and nursing backgrounds(accounting for23.75%and62.97%respectively),and the majority have a bachelor's degree(71.06%).Only 13%have operational funding.Among them,39 have established hospital infection informatization monitoring,23 have not been equipped,and 6 are under construction.Twenty centers have conducted quality control supervision and issued quality control reports,ac-counting for 29.41%,while 41 have organized training,accounting for 60.29%.Conclusion The coverage rate of county-level infection management quality control centers in Guangdong Province is steadily increasing,but not all counties and districts are covered.There is a lack of policy and funding support,insufficient personnel allocation,and inadequate professional coverage.The health administrative departments and county-level infection control centers need to unify monitoring standards,quality con-trol specifications,and evaluation programs,improve infection control capabilities,and enhance the"four-level"management and training system to effectively promote the quality and safety management level of primary healthcare institutions.
2.Recent advance and challenge in clinical diagnosis and management of restricted repetitive behaviors in autism
Hongyan XU ; Xinxin CUI ; Zhangying ZHOU ; Wenjing HU ; Tingli HE ; Zhe ZHANG ; Danmeng CHENG ; Xianwen DONG ; Yanan HAN
Chinese Journal of Neuromedicine 2024;23(6):624-630
Restricted repetitive behaviors (RRBs) are the most characteristic behaviors of autism spectrum disorder. The clinical diagnosis and treatment of RRBs are extremely difficult resulting from its complex and variable etiology, highly heterogeneous clinical manifestations influenced by multiple factors (sleep quality, gastrointestinal health, age and gender), lack of precise diagnostic criteria and low effectiveness of current clinical interventions. This article mainly reviews the recent related studies on RRBs and discusses the challenges and progress in clinical diagnosis and treatment of RRBs so as to provide new ideas for future clinical diagnosis and treatment.
3.Electroencephalography applied in autism spectrum disorder research in decade:a bibliometrics analysis
Zhe ZHANG ; Xianwen DONG ; Chengming XU ; Wenjing HU ; Tingli HE ; Xinxin CUI ; Hongyan XU ; Zhangying ZHOU ; Ya'nan HAN
Chinese Journal of Rehabilitation Theory and Practice 2024;30(6):693-700
Objective To analyze the current state,research hotspots,and development trends of electroencephalography(EEG)applied in the field of autism spectrum disorder(ASD). Methods Relevant literature from the Web of Science core collection database from January,2014 to January,2024 were retrieved and analyzed using CiteSpace 6.2.R4. Results A total of 1 509 articles were included,with an increasing trend in publication volume over the years.The United States ranked highest in both publication volume and node centrality.The primary journals in this field were concentrated in clinical medicine,immunology and psychology.Keyword co-occurrence and clustering indicated that research primarily focused on the correlation between core symptoms of ASD and EEG indicators,differential diagnosis of ASD and its comorbidities,brain functional connectivity,and assessment of rehabilitation efficacy.Keywords bursted in the past three years mainly included artificial intelligence and machine learning. Conclusion The researches in EEG technology in the field of ASD is generally increasing.Future researches may focus on exploring the brain network mechanisms of ASD using EEG combined with multimodal neuroimaging,and machine learning technologies.