Objective:To establish a health economics evaluation-based adjustment mechanism for the medical insurance fund package in compact county-level medical community.Methods:A health risk assessment system was designed,with weights determined using the Delphi method.Population health risks were evaluated via rapid assessment methods to calculate health risk scores for each county(city,district),which were then used to determine the medical insurance fund package adjustment amount.Results:The county-level health risk evaluation index system encompassed four dimensions:health risk influencing factor,health protection resource,population health risk,and health level.Through information collection and field surveys,health risk scores for counties(cities,districts)in a case prefecture-level city were obtained,serving as a tool for allocating medical consortium package adjustment funds.Conclusion:The health economics evaluation-based medical insurance fund adjustment mechanism enhances the equity of total medical insurance fund allocation,activates the incentive role of medical insurance in healthcare delivery,and transmits intervention pressure to reduce residents'health risks to public management departments at the county level.This approach realizes mutual benefits among medical insurance,residents,and healthcare providers.

Objective:To establish a health economics evaluation-based adjustment mechanism for the medical insurance fund package in compact county-level medical community.Methods:A health risk assessment system was designed,with weights determined using the Delphi method.Population health risks were evaluated via rapid assessment methods to calculate health risk scores for each county(city,district),which were then used to determine the medical insurance fund package adjustment amount.Results:The county-level health risk evaluation index system encompassed four dimensions:health risk influencing factor,health protection resource,population health risk,and health level.Through information collection and field surveys,health risk scores for counties(cities,districts)in a case prefecture-level city were obtained,serving as a tool for allocating medical consortium package adjustment funds.Conclusion:The health economics evaluation-based medical insurance fund adjustment mechanism enhances the equity of total medical insurance fund allocation,activates the incentive role of medical insurance in healthcare delivery,and transmits intervention pressure to reduce residents'health risks to public management departments at the county level.This approach realizes mutual benefits among medical insurance,residents,and healthcare providers.

Objective:To explore the application of targeted mRNA sequencing in fusion gene diagnosis of hematologic diseases.Methods:Bone marrow or peripheral blood samples of 105 patients with abnormally elevated eosinophil proportions and 291 acute leukemia patients from January 2015 to June 2023 in the First Affiliated Hospital of Soochow University were analyzed and gene structural variants were detected by targeted mRNA sequencing.Results:Among 105 patients with abnormally elevated eosinophil proportions,6 cases were detected with gene structural variants,among which fusion gene testing results in 5 cases could serve as diagnostic indicators for myeloid neoplasms with eosinophilia.In addition,a IL3::ETV6 fusion gene was detected in one patient with chronic eosinophilic leukemia,not otherwise specified.Among 119 patients with acute myeloid leukemia(AML),38 cases were detected structural variants by targeted mRNA sequencing,accounting for 31.9％,which was significantly higher than 20.2％(24/119)detected by multiple quantitative PCR(P＜0.05).We also found one patient with AML had both NUP98::PRRX2 and KCTD5::JAK2 fusion genes.A total of 104 patients were detected structural variants by targeted mRNA sequencing in 172 cases with acute B-lymphoblastic leukemia who were tested negative by multiple quantitative PCR,with a detection rate of 60.5％(102/172).Conclusion:Targeted mRNA sequencing can effectively detect fusion gene and has potential clinical application value in diagnosis and classificatation in hematologic diseases.

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.

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.

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.

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.

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.

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.

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.