OBJECTIVE To assess the correlation between the steady-state minimal concentration （cmin） and 24 h area under the drug concentration-time curve （AUC24）/minimal inhibitory concentration （MIC） ratio （AUC24/MIC） of vancomycin in pediatric patients， and analyze independent risk factors for treatment failure. METHODS Data of hospitalized children treated with vancomycin and receiving therapeutic drug monitoring in our hospital from January 2021 to July 2024 were retrospectively collected and divided into success group and failure group according to whether the treatment was successful or not. Spearman correlation analysis was used to analyze the correlation between cmin and AUC24/MIC of vancomycin， and one-way and multifactorial Logistic regression analyses were used to screen the independent risk factors for vancomycin treatment failure. RESULTS A total of 59 children were included， with 41 in the success group and 18 in the failure group. Compared with the failure group， AUC24/MIC of vancomycin was significantly higher in the success group （P＝0.038）， but there was no statistically significant difference in the cmin of the two groups （P＞0.05）； cmin of vancomycin was significantly positively correlated with AUC24/MIC （r＝0.499， P＜0.001）， but it has a certain efficacy in predicting the achievement of the AUC24/MIC standard （≥400） （area under the receiver operator characteristic curve＝0.696）， with an optimal cutoff value of 6.05 mg/L determined by the Youden index. The efficacy of AUC24/ MIC in predicting treatment failure was superior to cmin （areas under the receiver operator characteristic curve were 0.671 vs. 0.523， P were 0.038 vs. 0.684）， with higher sensitivity （83.3% vs. 66.7%）. Hypoproteinemia and AUC24/MIC≤369.1 were independent risk factors for vancomycin treatment failure （P＜0.05）. The incidence of nephrotoxicity was 3.4%. CONCLUSIONS There is a significant positive correlation between cmin and AUC24/MIC of vancomycin in pediatric patients； hypoproteinemia and AUC24/MIC≤369.1 are independent risk factors for vancomycin treatment failure in children.

Adverse childhood experiences (ACEs) refer to traumatic events such as abuse and neglect experienced before the age of 18 years, which have negative impacts on an individual's physical and mental health. Studies have shown that ACEs not only increase the risk of health-harming behaviors such as smoking and alcohol abuse, but are also risk factors for depression and anxiety. The influence of ACEs on depression and anxiety exhibits type-specificity, cumulative effects, and temporal dynamics. The impact of ACE types on depression and anxiety varies across populations and genders, a dose-response relationship exists between the number of ACEs and depression/anxiety, and the phase, trajectory, and frequency of ACEs also significantly influence depression and anxiety. This article collected literature on ACEs and depression/anxiety from January 1995 to June 2024 by searching the CNKI and PubMed databases. It provides a comprehensive review of the associations between different ACEs types, quantities, categories, timing, trajectories, frequencies, and the risks of depression and anxiety, while also exploring the underlying mechanisms of these associations. The findings aim to offer references for the prevention and intervention of ACEs and the improvement of mental health.

Objective:To study the longitudinal trends and spatial clustering characteristics of healthcare service efficiency in China and in North,Northeast,East,Central,South,Southwest,and Northwest China.Methods:The Malmquist index model is used to measure China's healthcare service efficiency from 2012 to 2021,the Dagum Gini coefficient as well as the decomposition method are used to measure the magnitude and source of regional gaps in healthcare service efficiency,and the Kernel density estimation is used to study the longitudinal trend of change and spatial agglomeration characteristics of China's healthcare service efficiency.Results:China's overall healthcare service efficiency is growing,and the inter-regional gap is gradually narrowing,characterized by a concentration trend;the gap in the level of healthcare service efficiency between regions did not widen during the period under examination,but it was found that the gap within some regions was still significant.Conclusion:The national health service efficiency is growing slightly,and the regional gap is generally decreasing,but the Gini coefficient shows that the inter-regional contribution is still the main source of the gap.National health service efficiency is generally concentrated,but some regions are less efficient,with significant internal disparities.

Objective:To study the longitudinal trends and spatial clustering characteristics of healthcare service efficiency in China and in North,Northeast,East,Central,South,Southwest,and Northwest China.Methods:The Malmquist index model is used to measure China's healthcare service efficiency from 2012 to 2021,the Dagum Gini coefficient as well as the decomposition method are used to measure the magnitude and source of regional gaps in healthcare service efficiency,and the Kernel density estimation is used to study the longitudinal trend of change and spatial agglomeration characteristics of China's healthcare service efficiency.Results:China's overall healthcare service efficiency is growing,and the inter-regional gap is gradually narrowing,characterized by a concentration trend;the gap in the level of healthcare service efficiency between regions did not widen during the period under examination,but it was found that the gap within some regions was still significant.Conclusion:The national health service efficiency is growing slightly,and the regional gap is generally decreasing,but the Gini coefficient shows that the inter-regional contribution is still the main source of the gap.National health service efficiency is generally concentrated,but some regions are less efficient,with significant internal disparities.

Objective:To study the longitudinal trends and spatial clustering characteristics of healthcare service efficiency in China and in North,Northeast,East,Central,South,Southwest,and Northwest China.Methods:The Malmquist index model is used to measure China's healthcare service efficiency from 2012 to 2021,the Dagum Gini coefficient as well as the decomposition method are used to measure the magnitude and source of regional gaps in healthcare service efficiency,and the Kernel density estimation is used to study the longitudinal trend of change and spatial agglomeration characteristics of China's healthcare service efficiency.Results:China's overall healthcare service efficiency is growing,and the inter-regional gap is gradually narrowing,characterized by a concentration trend;the gap in the level of healthcare service efficiency between regions did not widen during the period under examination,but it was found that the gap within some regions was still significant.Conclusion:The national health service efficiency is growing slightly,and the regional gap is generally decreasing,but the Gini coefficient shows that the inter-regional contribution is still the main source of the gap.National health service efficiency is generally concentrated,but some regions are less efficient,with significant internal disparities.

Objective:To study the longitudinal trends and spatial clustering characteristics of healthcare service efficiency in China and in North,Northeast,East,Central,South,Southwest,and Northwest China.Methods:The Malmquist index model is used to measure China's healthcare service efficiency from 2012 to 2021,the Dagum Gini coefficient as well as the decomposition method are used to measure the magnitude and source of regional gaps in healthcare service efficiency,and the Kernel density estimation is used to study the longitudinal trend of change and spatial agglomeration characteristics of China's healthcare service efficiency.Results:China's overall healthcare service efficiency is growing,and the inter-regional gap is gradually narrowing,characterized by a concentration trend;the gap in the level of healthcare service efficiency between regions did not widen during the period under examination,but it was found that the gap within some regions was still significant.Conclusion:The national health service efficiency is growing slightly,and the regional gap is generally decreasing,but the Gini coefficient shows that the inter-regional contribution is still the main source of the gap.National health service efficiency is generally concentrated,but some regions are less efficient,with significant internal disparities.

Objective:To study the longitudinal trends and spatial clustering characteristics of healthcare service efficiency in China and in North,Northeast,East,Central,South,Southwest,and Northwest China.Methods:The Malmquist index model is used to measure China's healthcare service efficiency from 2012 to 2021,the Dagum Gini coefficient as well as the decomposition method are used to measure the magnitude and source of regional gaps in healthcare service efficiency,and the Kernel density estimation is used to study the longitudinal trend of change and spatial agglomeration characteristics of China's healthcare service efficiency.Results:China's overall healthcare service efficiency is growing,and the inter-regional gap is gradually narrowing,characterized by a concentration trend;the gap in the level of healthcare service efficiency between regions did not widen during the period under examination,but it was found that the gap within some regions was still significant.Conclusion:The national health service efficiency is growing slightly,and the regional gap is generally decreasing,but the Gini coefficient shows that the inter-regional contribution is still the main source of the gap.National health service efficiency is generally concentrated,but some regions are less efficient,with significant internal disparities.

Objective To explore the cognitive load level and influencing factors of emergency nurses.Methods Using convenience sampling method,48 nurses in emergency department of China-Japan Friendship Hospital from April to May 2022 were selected as research objects.General data were collected and total cognitive load and three different types of cognitive load were measured.Results Regression analysis showed that nurse-patient relationship was influencing factor of total cognitive load of nurses in emergency department(β=6.202,P=0.007),the noisy working environment was the influencing factor of the internal cognitive load(β=1.042,P<0.001),and the living situation(sharing with others)was the influencing factor of the external cognitive load(β=-3.917,P=0.006).The factors of associated with cognitive load were not found.Conclusion The total cognitive load and the three types of cognitive load of nurses in emergency department are high.Nursing managers can reduce the cognitive load of nurses in emergency department by adjusting related influencing factors,so as to improve nursing work efficiency.

Objective: To evaluate the effectiveness for the construction of "mosquito-free village" in Xuejia Village, Pujiang County, Zhejiang Province, so as to provide the guidance for the construction of "mosquito-free village" in other rural areas. Methods: Density of adult mosquitoes in Xuejia Village was investigated using light trap method and density of larval mosquitoes was investigated using larval straw method from April to November each year. Totally 30 households of villagers were randomly selected, and their awareness rates of mosquito control knowledge, mosquito control behavior forming rates and satisfaction rates were surveyed through questionnaires. Investment during construction (from August 2016 to December 2018) and maintenance period (from 2019 to 2023) of "mosquito-free village" were investigated through data review and interviews. Long-term effects of "mosquito-free village" construction in Xuejia Village were evaluated in terms of mosquito density from 2016 to 2023, effectiveness of health education for villagers, satisfaction and investment. Results: Compared with the year 2016, the densities of adult and larval mosquitoes in Xuejia Village were significantly decreased from 2017 to 2023. The average monthly density of adult mosquitoes in 2023 decreased by 98.34%, and the average monthly 100 household index of larval mosquitoes decreased by 98.45% compared to 2016. The average monthly density of adult mosquitoes from 2019 to 2023 was less than or equal to one mosquito per light trap in a night, and the average monthly 100 household index of larval mosquitoes was less than or equal to five places per 100 households. The awareness rate of mosquito control knowledge was 93.33%, the behavior forming rate was 86.67%, and the satisfaction rate was 90.00%. By December 2023, the total investment during construction and maintenance period was 450 thousand Yuan, with an average annual investment of 60.7 thousand Yuan and average annual investment of 206.61 Yuan per household. The average annual investment during maintenance period was 36.2 thousand Yuan, and the average annual investment per household was 109.70 Yuan. Conclusion The mosquito density, effectiveness of health education for villagers and satisfaction of "mosquito-free village" in Xuejia Village all meet the evaluation criteria of "mosquito-free village", and the investment is reasonable, making it suitable for promotion to other rural areas.

Objective:To study the longitudinal trends and spatial clustering characteristics of healthcare service efficiency in China and in North,Northeast,East,Central,South,Southwest,and Northwest China.Methods:The Malmquist index model is used to measure China's healthcare service efficiency from 2012 to 2021,the Dagum Gini coefficient as well as the decomposition method are used to measure the magnitude and source of regional gaps in healthcare service efficiency,and the Kernel density estimation is used to study the longitudinal trend of change and spatial agglomeration characteristics of China's healthcare service efficiency.Results:China's overall healthcare service efficiency is growing,and the inter-regional gap is gradually narrowing,characterized by a concentration trend;the gap in the level of healthcare service efficiency between regions did not widen during the period under examination,but it was found that the gap within some regions was still significant.Conclusion:The national health service efficiency is growing slightly,and the regional gap is generally decreasing,but the Gini coefficient shows that the inter-regional contribution is still the main source of the gap.National health service efficiency is generally concentrated,but some regions are less efficient,with significant internal disparities.