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 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 professionalization model of nursing management team in an international medical center in a provincial public tertiary hospital.Methods Through literature research and Delphi method,a three-person nursing management team was established respectively in three nursing units:outpatient,first-ward,and second-ward of the center,and then trained professionally to define management boundaries and responsibilities.The training effect was verified by applying the professionalization management in the international medical center.The three nursing teams(nine nurses totally)were compared in terms of leadership,patient satisfaction,and nursing discipline construction before and after the training.Results Following the training,the three teams all exhibited a significant improvement in leadership as well as its dimensions(P＜0.05),and pa-tient satisfaction(P＜0.05).Additionally,care quality,scientific research capacity,and innovation ability were all elevated across the three groups.Conclusion The establishment of a nursing management team and performance of professional training can effectively promote the concept of professionalization management,improve the leadership of nurses,cultivate talent eche-lons,drive the overall development of disciplines and teams,and expand the connotation of nursing culture.For all these bene-fits,this model is suitable for promotion and application among clinical departments.

Objective To explore the changes in macrophage infiltration behavior during the dynamic evolution of thrombi following the formation of acute carotid artery thrombosis occlusion(ACTO).Methods 15 healthy male New Zealand rabbits were selected to establish an ACTO model by causing injury to the rabbit carotid artery using surgical sutures treated with ferric chloride.All rabbits were randomly divided into 5 groups according to the end-point time using the random number table method,namely 24-hour group,1 week group,4week group,8 week group,and 12week group postoperatively,with 3 rabbits in each group.At 24 hours post-operation,the ACTO model was examined by DS A.At 24 hours,1 week,4 weeks,8 weeks,and 12 weeks post-operation,samples were taken from the thrombotic arterial segment of the 3 rabbits in each group and embedded in paraffin.The thrombus samples were stained with hematoxylin-eosin(HE)and Martius scarlet blue(MSB)to analyze changes in thrombus morphology and composition(including red blood cells,fibrin and collagen fibers).Orbit Imaging Analysis software was used for semi-quantitative analysis of the thrombus composition components.Using immunohistochemistry to detect the distribution of MO and M2 macrophages in thrombi,aimed to summarize the dynamic evolution of thrombus morphology,composition,and macrophage infiltration behavior at different stages following ACTO occurrence.Results The 24-hour DSA results indicated that all experimental rabbits successfully established the ACTO model.(1)HE staining showed a continuous increase in thrombus size from 24 hours to 1 week.By 4 weeks,signs of thrombus dissolution appeared,and at 8 weeks,neovascularization was observed within the thrombus.By 12 weeks,signs of fibrosis were evident in the thrombus.(2)MSB staining revealed that during the acute phase of thrombus formation(within 24 hours after surgery),red blood cells were the predominant component initially,but after this period,fibrin and collagen fibers became the main components.(3)The detection results of MO macrophages showed that 24 hours after surgery,MO macrophages in the thrombus were not evenly distributed throughout the thrombus,but mainly gathered at the thrombus edge;at 1 week after surgery,the positive area percentage of MO macrophage in the thrombus increased compared with 24 hours after surgery(thrombus edge:[41.7±27.0]％vs.[24.6±16.7]％,thrombus core:[35.7±19.6]％vs.[11.1±10.4]％,all P＜0.001),and evenly distributed within the thrombus;at 4 weeks after surgery,MO macrophages in the thrombus decreased compared with 1 week after surgery(thrombosis edge:[10.7±6.1]％vs.[41.7±27.0]％,thrombus core:[12.1±8.5]％vs.[35.7±19.6]％,all P＜0.001),the differences were statistically significant.At 4,8,and 12 weeks after surgery,MO macrophages within the thrombus did not change significantly with time(thrombus edge:[10.7±6.1]％,[8.0±7.7]％,and[8.9±5.3]％;thrombus core:[12.1±8.5]％,[9.5±4.2]％,and[15.7±11.0]％),and the differences were not statistically significant(all P＞0.05).In addition,at 12 weeks after surgery,MO macrophages at the thrombus edge was less than the thrombus core([8.9+5.3]％vs.[15.7±11.0]％,P＜0.01).The detection results of M2 macrophages showed that 24 hours after surgery,M2 macrophages in the thrombus were widely distributed throughout the thrombus;at 1 week after surgery,the positive area percentage of M2 macrophages in the thrombus increased compared with 24 hours after surgery(thrombus edge:[22.1±11.3]％vs.[11.4±8.7]％,P＜0.001;thrombus core:[24.5±9.8]％vs.[7.6±6.0]％,P＜0.001);at 4 weeks after surgery,M2 macrophage in the thrombus decreased compared with 1 week after surgery(thrombosis edge:[10.6±3.7]％vs.[22.1±11.3]％,P＜0.001;thrombus core:[9.2±4.3]％vs.[24.5±9.8]％,P＜0.001);at 8 weeks after surgery,M2 macrophages in the thrombus increased compared with 4 weeks after surgery([17.9±8.8]％vs.[9.2±4.3]％,P＜0.001),and the differences were statistically significant.However,M2 macrophages in the thrombus did not change significantly from 8 weeks to 12 weeks after surgery(thrombus edge:[9.4±6.3]％vs.[8.5±5.3]％,P＞0.05;thrombus core:[17.9±8.8]％vs.[14.4±10.0]％,P＞0.05).In addition,at 8 and 12 weeks after surgery,M2 macrophages in the thrombus core was greater than the thrombus edge(8 weeks after surgery:[17.9±8.8]％vs.[9.4±6.3]％,P＜0.001;12weeks after surgery:[14.4±10.0]％vs.[8.5±5.3]％,P＜0.001).Conclusions This study successfully established an ACTO animal model and demonstrated for the first time the dynamic evolution of macrophages within 12 weeks post-thrombus formation.Macrophages may played a significant role in both thrombus formation and fibrinolysis,as well as in the promotion of thrombus dissolution and the formation of new blood vessels within the thrombus which may potentially promote the spontaneous reperfusion of the occluded vessels.The results of this study need further verification.