Objective To evaluate the environmental radioactive safety level in China, monitor the radioactivity of strontium-90 (⁹⁰Sr) in seafood from selected marine regions of China, and optimize the di-(2-ethylhexyl)phosphoric acid (HDEHP) extraction chromatography method for determining Sr-90 in seafood. Methods In 2023, seafoods of fish, shrimp, shellfish, and seaweed were collected from the Shandong Province (Bohai Sea and Yellow Sea) and Hainan Province (South China Sea). The levels of Sr in the samples were determined by inductively coupled plasma atomic emission spectrometer (ICP-AES). The ⁹⁰Sr separation were performed using HDEHP extraction chromatography, while the recovery of ⁹⁰Sr were determined by the gravitmetry with the assistant of ICP-AES. Results The content of strontium in seafoods varies greatly, and excessive strontium and calcium in seafood may lead to overestimated recovery due to insufficient leaching during chromatographic separation by HDEHP extraction. Therefore, the yttrium content in the eluent should be analyzed by ICP . The radioactivity of ⁹⁰Sr in seafood from the sea areas in Shandong Province was 0.22-1.85 Bq/kg (dry weight), and that of seafood from Hainan Province was 0.19-1.82 Bq/kg (dry weight). Conclusion For the analysis of shirmp and seaweed samples, the recovery rate of ⁹⁰Sr should be analyzed using both gravimetry and ICP-AES. There is no significant linear correlation between total Sr and ⁹⁰Sr in seafood. There is no significant difference in ⁹⁰Sr radioactivity between the seafood samples collected from Shandong and Hainan. The ⁹⁰Sr radioactivity levels of all 28 samples are below the limit specified in the Limited concentrations of radioactive materials in foods (GB 14882—1994) and are within the range of environmental background fluctuations.

Objective To organize a nationwide interlaboratory comparison for measurement of gross α and gross β radioactivity in water, and improve the laboratory analysis of gross α and gross β radioactivity in water. Methods A unified comparison protocol was developed by the organizers. The groundwater with high natural radioactivity was used as water sample and distributed randomly to the participating laboratories. The participating laboratories used routine analytical methods to measure the samples and provided information such as analytical results, original records, and test reports. The results were evaluated using z-score. Results A total of 76 laboratories participated in the comparison, all employing the evaporation concentration-α/β counting method. Among them, 69 laboratories achieved |z| ≤ 2 for both gross α and gross β radioactivity measurements, and 32 laboratories achieved |z| ≤ 0.50 for both gross α and gross β radioactivity measurements. There were 69 laboratories with qualified results and 30 laboratories with excellent results, yielding a qualified rate of 90.8% and an excellent rate of 39.5%. Seven laboratories showed unqualified results and the unqualified rate was 9.2%. Conclusion Most laboratories have the ability to analyze gross α and gross β radioactivity in water. The main reasons for the deviation in comparison results are calibration efficiency, errors in the total residue mass caused by improper water sample processing operations. By analyzing the main technical problems existed in unqualified laboratories, their ability for measurement of gross α and gross β radioactivity in water has been improved.

Objective:Clarify the correlation between the Centralized Drug Volume-based Purchasing Policy,changes in physical&mental health status,and health inequalities among the older adults,as well as exploring whether this correlation differs between urban and rural areas so as to determine the role played by the total cost of healthcare.Methods:Based on CFPS 2018 and 2020,DID and PSM-DID were used to verify the impact of the Centralized Drug Volume-based Purchasing Policy on physical&mental health status and health inequalities of the elderly in urban and rural China.Three-step method and Sobel test were used to verify the mediating effect of total medical costs.Results:The pilot effect of the Centralized Drug Volume-based Purchasing Policy was first realized among the urban elderly population,promoting their physical and mental health through the intermediary mechanism of reducing the total medical costs,but for the time being did not show a significant correlation with health inequalities within this group.Among the rural elderly population,none of the three dependent variables was significant(P＞0.1).Conclusion:The underlying logic of the Centralized Drug Volume-based Purchasing Policy is right,but its future reform should focus on the rural elderly group,and consider the fairness of the effect within the group and between urban and rural areas,so as to improve the health level of the whole society in the longer term.

Objective:Clarify the correlation between the Centralized Drug Volume-based Purchasing Policy,changes in physical&mental health status,and health inequalities among the older adults,as well as exploring whether this correlation differs between urban and rural areas so as to determine the role played by the total cost of healthcare.Methods:Based on CFPS 2018 and 2020,DID and PSM-DID were used to verify the impact of the Centralized Drug Volume-based Purchasing Policy on physical&mental health status and health inequalities of the elderly in urban and rural China.Three-step method and Sobel test were used to verify the mediating effect of total medical costs.Results:The pilot effect of the Centralized Drug Volume-based Purchasing Policy was first realized among the urban elderly population,promoting their physical and mental health through the intermediary mechanism of reducing the total medical costs,but for the time being did not show a significant correlation with health inequalities within this group.Among the rural elderly population,none of the three dependent variables was significant(P＞0.1).Conclusion:The underlying logic of the Centralized Drug Volume-based Purchasing Policy is right,but its future reform should focus on the rural elderly group,and consider the fairness of the effect within the group and between urban and rural areas,so as to improve the health level of the whole society in the longer term.

Objective:Clarify the correlation between the Centralized Drug Volume-based Purchasing Policy,changes in physical&mental health status,and health inequalities among the older adults,as well as exploring whether this correlation differs between urban and rural areas so as to determine the role played by the total cost of healthcare.Methods:Based on CFPS 2018 and 2020,DID and PSM-DID were used to verify the impact of the Centralized Drug Volume-based Purchasing Policy on physical&mental health status and health inequalities of the elderly in urban and rural China.Three-step method and Sobel test were used to verify the mediating effect of total medical costs.Results:The pilot effect of the Centralized Drug Volume-based Purchasing Policy was first realized among the urban elderly population,promoting their physical and mental health through the intermediary mechanism of reducing the total medical costs,but for the time being did not show a significant correlation with health inequalities within this group.Among the rural elderly population,none of the three dependent variables was significant(P＞0.1).Conclusion:The underlying logic of the Centralized Drug Volume-based Purchasing Policy is right,but its future reform should focus on the rural elderly group,and consider the fairness of the effect within the group and between urban and rural areas,so as to improve the health level of the whole society in the longer term.

Objective:Clarify the correlation between the Centralized Drug Volume-based Purchasing Policy,changes in physical&mental health status,and health inequalities among the older adults,as well as exploring whether this correlation differs between urban and rural areas so as to determine the role played by the total cost of healthcare.Methods:Based on CFPS 2018 and 2020,DID and PSM-DID were used to verify the impact of the Centralized Drug Volume-based Purchasing Policy on physical&mental health status and health inequalities of the elderly in urban and rural China.Three-step method and Sobel test were used to verify the mediating effect of total medical costs.Results:The pilot effect of the Centralized Drug Volume-based Purchasing Policy was first realized among the urban elderly population,promoting their physical and mental health through the intermediary mechanism of reducing the total medical costs,but for the time being did not show a significant correlation with health inequalities within this group.Among the rural elderly population,none of the three dependent variables was significant(P＞0.1).Conclusion:The underlying logic of the Centralized Drug Volume-based Purchasing Policy is right,but its future reform should focus on the rural elderly group,and consider the fairness of the effect within the group and between urban and rural areas,so as to improve the health level of the whole society in the longer term.

Objective:Clarify the correlation between the Centralized Drug Volume-based Purchasing Policy,changes in physical&mental health status,and health inequalities among the older adults,as well as exploring whether this correlation differs between urban and rural areas so as to determine the role played by the total cost of healthcare.Methods:Based on CFPS 2018 and 2020,DID and PSM-DID were used to verify the impact of the Centralized Drug Volume-based Purchasing Policy on physical&mental health status and health inequalities of the elderly in urban and rural China.Three-step method and Sobel test were used to verify the mediating effect of total medical costs.Results:The pilot effect of the Centralized Drug Volume-based Purchasing Policy was first realized among the urban elderly population,promoting their physical and mental health through the intermediary mechanism of reducing the total medical costs,but for the time being did not show a significant correlation with health inequalities within this group.Among the rural elderly population,none of the three dependent variables was significant(P＞0.1).Conclusion:The underlying logic of the Centralized Drug Volume-based Purchasing Policy is right,but its future reform should focus on the rural elderly group,and consider the fairness of the effect within the group and between urban and rural areas,so as to improve the health level of the whole society in the longer term.

Objective:Clarify the correlation between the Centralized Drug Volume-based Purchasing Policy,changes in physical&mental health status,and health inequalities among the older adults,as well as exploring whether this correlation differs between urban and rural areas so as to determine the role played by the total cost of healthcare.Methods:Based on CFPS 2018 and 2020,DID and PSM-DID were used to verify the impact of the Centralized Drug Volume-based Purchasing Policy on physical&mental health status and health inequalities of the elderly in urban and rural China.Three-step method and Sobel test were used to verify the mediating effect of total medical costs.Results:The pilot effect of the Centralized Drug Volume-based Purchasing Policy was first realized among the urban elderly population,promoting their physical and mental health through the intermediary mechanism of reducing the total medical costs,but for the time being did not show a significant correlation with health inequalities within this group.Among the rural elderly population,none of the three dependent variables was significant(P＞0.1).Conclusion:The underlying logic of the Centralized Drug Volume-based Purchasing Policy is right,but its future reform should focus on the rural elderly group,and consider the fairness of the effect within the group and between urban and rural areas,so as to improve the health level of the whole society in the longer term.

Objective:Clarify the correlation between the Centralized Drug Volume-based Purchasing Policy,changes in physical&mental health status,and health inequalities among the older adults,as well as exploring whether this correlation differs between urban and rural areas so as to determine the role played by the total cost of healthcare.Methods:Based on CFPS 2018 and 2020,DID and PSM-DID were used to verify the impact of the Centralized Drug Volume-based Purchasing Policy on physical&mental health status and health inequalities of the elderly in urban and rural China.Three-step method and Sobel test were used to verify the mediating effect of total medical costs.Results:The pilot effect of the Centralized Drug Volume-based Purchasing Policy was first realized among the urban elderly population,promoting their physical and mental health through the intermediary mechanism of reducing the total medical costs,but for the time being did not show a significant correlation with health inequalities within this group.Among the rural elderly population,none of the three dependent variables was significant(P＞0.1).Conclusion:The underlying logic of the Centralized Drug Volume-based Purchasing Policy is right,but its future reform should focus on the rural elderly group,and consider the fairness of the effect within the group and between urban and rural areas,so as to improve the health level of the whole society in the longer term.

Objective It aims to construct an evaluation index system for the development level of intelligent health insurance,which can serve as a reference for health insurance management departments in assessing the develop-ment level of intelligent health insurance and the implementation of health insurance informatization.Methods Key events in intelligent health insurance were identified based on event system theory and text analysis.The evaluation index system was determined through a combination of expert interviews and Delphi expert consultations.The entro-py method was used to calculate the weights of each index,followed by the assessment of the current and ideal de-velopment levels.Results A total of 16 experts were consulted.After two rounds of Delphi expert consultation,two first-level indicators and 18 second-level indicators were finally included in the system.The current development level of intelligent health insurance in China is at the intelligent development stage(2.524 points),while the ideal de-velopment level is at the intelligent improvement stage(4.073 points).The positivity coefficient of both rounds of Del-phi expert consultation was 100%,with an authority coefficient of 0.842,and the degree of expert coordination im-proved with each round.Conclusion The constructed evaluation index system exhibits high scientificity,stability,and generalizability.It can provide an effective evaluation tool for the development of intelligent health insurance in various pooled areas.