1.Analyzing the evaluation results of healthy enterprises in Hubei Province from 2020 to 2023
Zhe PENG ; Jian HUANG ; Sheng LIU ; Zhongfa JIANG ; Yongxiang YAO ; Liangying MEI
China Occupational Medicine 2025;52(3):299-303
		                        		
		                        			
		                        			Objective To analyze the evaluation and influencing factors of healthy enterprises in Hubei Province from 2020 to 2023. Methods A total of 351 enterprises participated in the healthy enterprise evaluation in Hubei province were selected as the study subjects using the judgmental sampling method. The differences in evaluation results including scales, industry sector, and ownership type of the enterprises were compared. Results The median and the 25th and 75th percentiles [M (P25, P75)] of the evaluation score among the 351 enterprises was 869 (838, 941) points. The evaluation pass rate was 82.3%. The M(P25, P75) of scores for the management system, health environment, health management and services, health culture, and health outcome review were 183 (174, 192), 190 (181, 198), 340 (321, 376), 133 (122, 142), and 26 (24, 28) points, with the score percentage of 91.5%, 86.4%, 85.0%, 88.7%, and 86.7%, respectively. The deduction rate exceeded 50.0% in six items, which predominantly concentrated within the primary indicator of the health management and services, among the tertiary indicators. The result of multiple linear regression analysis revealed that smaller enterprises had significantly lower evaluation scores (P<0.05), and domestically funded enterprises scored significantly lower than those with investment from Hong Kong, Macao and Taiwan, or foreign investments (all P<0.05). Conclusion Health management and services represent a weak area in healthy enterprise development in Hubei Province. It was suggested to improve policy incentives and support for medium-, small- and micro-sized enterprises, and domestically funded enterprises, to enhance healthy enterprise development levels. 
		                        		
		                        		
		                        		
		                        	
2.Research progress of nano drug delivery system based on metal-polyphenol network for the diagnosis and treatment of inflammatory diseases
Meng-jie ZHAO ; Xia-li ZHU ; Yi-jing LI ; Zi-ang WANG ; Yun-long ZHAO ; Gao-jian WEI ; Yu CHEN ; Sheng-nan HUANG
Acta Pharmaceutica Sinica 2025;60(2):323-336
		                        		
		                        			
		                        			 Inflammatory diseases (IDs) are a general term of diseases characterized by chronic inflammation as the primary pathogenetic mechanism, which seriously affect the quality of patient′s life and cause significant social and medical burden. Current drugs for IDs include nonsteroidal anti-inflammatory drugs, corticosteroids, immunomodulators, biologics, and antioxidants, but these drugs may cause gastrointestinal side effects, induce or worsen infections, and cause non-response or intolerance. Given the outstanding performance of metal polyphenol network (MPN) in the fields of drug delivery, biomedical imaging, and catalytic therapy, its application in the diagnosis and treatment of IDs has attracted much attention and significant progress has been made. In this paper, we first provide an overview of the types of IDs and their generating mechanisms, then sort out and summarize the different forms of MPN in recent years, and finally discuss in detail the characteristics of MPN and their latest research progress in the diagnosis and treatment of IDs. This research may provide useful references for scientific research and clinical practice in the related fields. 
		                        		
		                        		
		                        		
		                        	
3.Establishment and application of a prospective follow-up research method for acute infectious diseases in Shanghai community residents
Yaxu ZHENG ; Xiao YU ; Huanyu WU ; Liming WU ; Jian CHEN ; Wenjia XIAO ; Zhuoying HUANG ; Sheng LIN ; Qiwen FANG ; Rui LIU ; Hao ZHANG ; Xin CHEN
Shanghai Journal of Preventive Medicine 2024;36(1):5-10
		                        		
		                        			
		                        			ObjectiveTo present the exploration and application of a prospective follow-up research method for acute infectious disease surveillance based on natural community populations, using COVID-19 infection as an example, and to provide a reference for improving the infectious disease surveillance and early warning system. MethodsA multi-stage probability proportional sampling method was employed to sample residents from all communities of 16 administrative districts in Shanghai, with households as the units. A cohort for acute infectious diseases based on natural community populations was established. The baseline survey was conducted for all cohort subjects, and COVID-19 antigen test kits were distributed. From December 21, 2022 to September 30, 2023, prospective follow-up monitoring of COVID-19 antigen and nucleic acid was carried out on the study subjects on a weekly basis. The baseline characteristics and follow-up information of the cohort subjects were described. ResultsThe cohort for acute infectious diseases included a total of 12 881 subjects, comprising 6 098 males (47.3%) and 6 783 females (52.7%). The baseline survey revealed that 35.2% (4 540/12 881) of the subjects had a history of COVID-19 infection. During the follow-up period from December 21, 2022 to September 30, 2023, the average incidence density in the cohort was 0.61/person-year, with a higher incidence density in females (0.63/person-year) compared to males (0.59/person-year). Individuals aged 60 and above (0.64/person-year) and those with underlying health conditions (0.67/person-year) had a higher incidence density. Healthcare workers showed a notably higher incidence density (0.84/person-year) than that in other occupational groups. As of September 30, 2023, a total of 340 subjects in the cohort experienced secondary infections, with a median interval of 170 days between the first and second infections. ConclusionThis study applies cohort study method to acute infectious disease surveillance, providing crucial data support for estimating infection rates and forecasting alerts for acute infectious diseases in the community. This method can be promoted and applied as a new approach for acute infectious disease surveillance. 
		                        		
		                        		
		                        		
		                        	
4.Impact of Health Insurance Packaged Payment on Patients'Financial Burden and Satisfaction
Yanhong GUO ; Liangying ZHU ; Jian WANG ; Erdan HUANG ; Yanchun ZHANG ; Sheng NONG
Chinese Health Economics 2024;43(7):42-46,58
		                        		
		                        			
		                        			Objective:To assess the impact of health insurance packaged payment in medical communities on the economicburden of patients,income and satisfaction of medical staff in counties.Methods:Using sample data from 2018-2022 from the national monitoring counties of medical communities,taking 2020 as the year of implementation of packaged payment,a double difference model was constructed with county population density and county per capita GDP as the control variables to assess the impact of packaged payment on the economic burden of patients,medical staff income and satisfaction in the county.Results:The packaged payment policy reduced the economic burden of patients to a certain extent and had a statistically significant positive effect on medical staff income in 2021,but it did not significantly increase the satisfaction of both supply and demand.Conclusion:The implementation of health insurance packaged payment of the MEC will not increase the economic burden of patients.It has a good pro-poor effect,and the income of medical staff has been improved to some extent,but there is still room for optimisation and improvement of the policy.
		                        		
		                        		
		                        		
		                        	
		                				5.Two new isoflavones from Dalbergia rimosa  Roxb.
		                			
		                			Wei-yu WANG ; Wen-jiao CHEN ; Mei-fang HUANG ; Cheng-sheng LU ; Xu FENG ; Chen-yan LIANG ; Jian-hua WEI
Acta Pharmaceutica Sinica 2024;59(7):2053-2057
		                        		
		                        			
		                        			 Studies on chemical constituents in the rhizome of 
		                        		
		                        	
6.Impact of Health Insurance Packaged Payment on Patients'Financial Burden and Satisfaction
Yanhong GUO ; Liangying ZHU ; Jian WANG ; Erdan HUANG ; Yanchun ZHANG ; Sheng NONG
Chinese Health Economics 2024;43(7):42-46,58
		                        		
		                        			
		                        			Objective:To assess the impact of health insurance packaged payment in medical communities on the economicburden of patients,income and satisfaction of medical staff in counties.Methods:Using sample data from 2018-2022 from the national monitoring counties of medical communities,taking 2020 as the year of implementation of packaged payment,a double difference model was constructed with county population density and county per capita GDP as the control variables to assess the impact of packaged payment on the economic burden of patients,medical staff income and satisfaction in the county.Results:The packaged payment policy reduced the economic burden of patients to a certain extent and had a statistically significant positive effect on medical staff income in 2021,but it did not significantly increase the satisfaction of both supply and demand.Conclusion:The implementation of health insurance packaged payment of the MEC will not increase the economic burden of patients.It has a good pro-poor effect,and the income of medical staff has been improved to some extent,but there is still room for optimisation and improvement of the policy.
		                        		
		                        		
		                        		
		                        	
7.Impact of Health Insurance Packaged Payment on Patients'Financial Burden and Satisfaction
Yanhong GUO ; Liangying ZHU ; Jian WANG ; Erdan HUANG ; Yanchun ZHANG ; Sheng NONG
Chinese Health Economics 2024;43(7):42-46,58
		                        		
		                        			
		                        			Objective:To assess the impact of health insurance packaged payment in medical communities on the economicburden of patients,income and satisfaction of medical staff in counties.Methods:Using sample data from 2018-2022 from the national monitoring counties of medical communities,taking 2020 as the year of implementation of packaged payment,a double difference model was constructed with county population density and county per capita GDP as the control variables to assess the impact of packaged payment on the economic burden of patients,medical staff income and satisfaction in the county.Results:The packaged payment policy reduced the economic burden of patients to a certain extent and had a statistically significant positive effect on medical staff income in 2021,but it did not significantly increase the satisfaction of both supply and demand.Conclusion:The implementation of health insurance packaged payment of the MEC will not increase the economic burden of patients.It has a good pro-poor effect,and the income of medical staff has been improved to some extent,but there is still room for optimisation and improvement of the policy.
		                        		
		                        		
		                        		
		                        	
8.Impact of Health Insurance Packaged Payment on Patients'Financial Burden and Satisfaction
Yanhong GUO ; Liangying ZHU ; Jian WANG ; Erdan HUANG ; Yanchun ZHANG ; Sheng NONG
Chinese Health Economics 2024;43(7):42-46,58
		                        		
		                        			
		                        			Objective:To assess the impact of health insurance packaged payment in medical communities on the economicburden of patients,income and satisfaction of medical staff in counties.Methods:Using sample data from 2018-2022 from the national monitoring counties of medical communities,taking 2020 as the year of implementation of packaged payment,a double difference model was constructed with county population density and county per capita GDP as the control variables to assess the impact of packaged payment on the economic burden of patients,medical staff income and satisfaction in the county.Results:The packaged payment policy reduced the economic burden of patients to a certain extent and had a statistically significant positive effect on medical staff income in 2021,but it did not significantly increase the satisfaction of both supply and demand.Conclusion:The implementation of health insurance packaged payment of the MEC will not increase the economic burden of patients.It has a good pro-poor effect,and the income of medical staff has been improved to some extent,but there is still room for optimisation and improvement of the policy.
		                        		
		                        		
		                        		
		                        	
9.Impact of Health Insurance Packaged Payment on Patients'Financial Burden and Satisfaction
Yanhong GUO ; Liangying ZHU ; Jian WANG ; Erdan HUANG ; Yanchun ZHANG ; Sheng NONG
Chinese Health Economics 2024;43(7):42-46,58
		                        		
		                        			
		                        			Objective:To assess the impact of health insurance packaged payment in medical communities on the economicburden of patients,income and satisfaction of medical staff in counties.Methods:Using sample data from 2018-2022 from the national monitoring counties of medical communities,taking 2020 as the year of implementation of packaged payment,a double difference model was constructed with county population density and county per capita GDP as the control variables to assess the impact of packaged payment on the economic burden of patients,medical staff income and satisfaction in the county.Results:The packaged payment policy reduced the economic burden of patients to a certain extent and had a statistically significant positive effect on medical staff income in 2021,but it did not significantly increase the satisfaction of both supply and demand.Conclusion:The implementation of health insurance packaged payment of the MEC will not increase the economic burden of patients.It has a good pro-poor effect,and the income of medical staff has been improved to some extent,but there is still room for optimisation and improvement of the policy.
		                        		
		                        		
		                        		
		                        	
10.Impact of Health Insurance Packaged Payment on Patients'Financial Burden and Satisfaction
Yanhong GUO ; Liangying ZHU ; Jian WANG ; Erdan HUANG ; Yanchun ZHANG ; Sheng NONG
Chinese Health Economics 2024;43(7):42-46,58
		                        		
		                        			
		                        			Objective:To assess the impact of health insurance packaged payment in medical communities on the economicburden of patients,income and satisfaction of medical staff in counties.Methods:Using sample data from 2018-2022 from the national monitoring counties of medical communities,taking 2020 as the year of implementation of packaged payment,a double difference model was constructed with county population density and county per capita GDP as the control variables to assess the impact of packaged payment on the economic burden of patients,medical staff income and satisfaction in the county.Results:The packaged payment policy reduced the economic burden of patients to a certain extent and had a statistically significant positive effect on medical staff income in 2021,but it did not significantly increase the satisfaction of both supply and demand.Conclusion:The implementation of health insurance packaged payment of the MEC will not increase the economic burden of patients.It has a good pro-poor effect,and the income of medical staff has been improved to some extent,but there is still room for optimisation and improvement of the policy.
		                        		
		                        		
		                        		
		                        	
            
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