Objective:To analyze the coordination between the growth of per capita health expenditure and per capita gross domestic product (GDP) in China from 2012 to 2021, and to explore the changes and regional disparities in the health consumption elasticity coefficient.Methods:Descriptive analysis was used to compare the average annual growth rates of per capita health expenditure and per capita GDP between 2012-2019, Pearson correlation analysis was conducted to test the relationship between the two variables. The health consumption elasticity coefficient was calculated as the ratio of the growth rates of health expenditure to GDP, and its temporal changes and regional distribution characteristics were analyzed.Results:After adjusting for price factors, the average annual growth rate of per capita health expenditure in China from 2012 to 2021 was 9.11%, higher than that of per capita GDP (6.11%), with no correlation between the two variables ( r=0.30, P>0.05). The national average health consumption elasticity coefficient was 1.49, lower than that in 2012-2019 (1.60), indicating an improvement in coordination. Compared with developed countries, China′s elasticity coefficient was at a moderate level. Conclusions:Overall, the growth of health expenditure in China remains faster than that of economic growth, with certain regional differences, but the degree of coordination has improved compared with the previous period.

Objective:To construct and validate an age-specific medical expenditure index for analyzing healthcare cost differences across age groups.Methods:Data on demographics and costs from 1.8162 million residents covered by urban and rural residents′ basic medical insurance in a city of Zhejiang Province in 2019, 2021, and 2022 were analyzed. Average per capita medical costs were calculated for each single-year age group. The arithmetic mean of per capita medical expenditure for each age group was determined, and the medical cost of the age group closest to this average was used as the reference value to calculate the relative medical expenditure index for each group. Validation was conducted using data from a district in Guangdong province for 2022-2023.Results:The average per capita cost for the entire sample in the city of Zhejiang province was 3 692.20 yuan, with the 54-year-old age group having the closest cost to this value, thus serving as the reference for calculating age-specific medical expenditure index. The 14-year-old age group had the lowest medical expenditure index at 0.190, while the 84-year-old group had the highest at 2.638. The life-cycle medical expenditure index totaled 89.942, corresponding to 317 528.80 yuan. Cumulative indices by life stage were 7.724 (children, 0-19 years old), 9.455 (young adults, 20-39 years old), 17.993 (middle-aged, 40-59 years old), 39.543 (younger elderly, 60-79 years old), and 15.227 (older elderly, ≥80 years old), accounting for 8.59%, 10.51%, 20.01%, 43.96%, and 16.93% of the full life-cycle cost. Validation showed similar index patterns between the two regions before the age of 60, with slight differences in the elderly stage.Conclusions:The age-specific medical expenditure index could reflect the impact of age structure on healthcare costs and provide a practical tool for estimating medical insurance funding and optimizing healthcare resource allocation.

Objective:To develop a financing model for the urban and rural residents′ basic medical insurance (URBMI) based on medical service costs, providing a scientific foundation for achieving a balance between fund revenue and expenditure.Methods:Drawing on operational experience from regional hospitals, 10 key factors influencing URBMI fund expenditures were distilled: the number of hospital beds per thousand population, annual hospitalization rates per hundred population, average length of stay, bed occupancy rate, county-level hospitalization rate, regional age-specific medical expenditure index, proportion of hospital personnel costs in medical revenue, number of hospital staff per bed, average annual personnel costs per employee, and the average reimbursement rate for insured individuals. Based on these 10 key factors, a URBMI financing model for a sample region was developed, and the reasonable per-capita medical expenditure and the sustainability threshold of per-capita financing were preliminarily estimated.Results:Model calculations revealed that the predicted reasonable per-capita medical expenditure of the sample county was 4 140.9 yuan. Assuming an average reimbursement rate of 50% for URBMI enrollees, the per-capita financing requirement was at least 2 070.5 yuan. Sensitivity analysis showed that the sustainability threshold of per-capita financing was more sensitive to changes in average length of stay and the proportion of hospital personnel costs in medical revenue.Conclusions:This study constructed a URBMI financing model based on 10 key factors affecting fund expenditures. By adjusting regional characteristic variables, the model can reflect how regional economic conditions and health-care needs influence URBMI financing requirements.

Objective:To analyze the coordination between the growth of per capita health expenditure and per capita gross domestic product (GDP) in China from 2012 to 2021, and to explore the changes and regional disparities in the health consumption elasticity coefficient.Methods:Descriptive analysis was used to compare the average annual growth rates of per capita health expenditure and per capita GDP between 2012-2019, Pearson correlation analysis was conducted to test the relationship between the two variables. The health consumption elasticity coefficient was calculated as the ratio of the growth rates of health expenditure to GDP, and its temporal changes and regional distribution characteristics were analyzed.Results:After adjusting for price factors, the average annual growth rate of per capita health expenditure in China from 2012 to 2021 was 9.11%, higher than that of per capita GDP (6.11%), with no correlation between the two variables ( r=0.30, P>0.05). The national average health consumption elasticity coefficient was 1.49, lower than that in 2012-2019 (1.60), indicating an improvement in coordination. Compared with developed countries, China′s elasticity coefficient was at a moderate level. Conclusions:Overall, the growth of health expenditure in China remains faster than that of economic growth, with certain regional differences, but the degree of coordination has improved compared with the previous period.

Objective:To construct and validate an age-specific medical expenditure index for analyzing healthcare cost differences across age groups.Methods:Data on demographics and costs from 1.8162 million residents covered by urban and rural residents′ basic medical insurance in a city of Zhejiang Province in 2019, 2021, and 2022 were analyzed. Average per capita medical costs were calculated for each single-year age group. The arithmetic mean of per capita medical expenditure for each age group was determined, and the medical cost of the age group closest to this average was used as the reference value to calculate the relative medical expenditure index for each group. Validation was conducted using data from a district in Guangdong province for 2022-2023.Results:The average per capita cost for the entire sample in the city of Zhejiang province was 3 692.20 yuan, with the 54-year-old age group having the closest cost to this value, thus serving as the reference for calculating age-specific medical expenditure index. The 14-year-old age group had the lowest medical expenditure index at 0.190, while the 84-year-old group had the highest at 2.638. The life-cycle medical expenditure index totaled 89.942, corresponding to 317 528.80 yuan. Cumulative indices by life stage were 7.724 (children, 0-19 years old), 9.455 (young adults, 20-39 years old), 17.993 (middle-aged, 40-59 years old), 39.543 (younger elderly, 60-79 years old), and 15.227 (older elderly, ≥80 years old), accounting for 8.59%, 10.51%, 20.01%, 43.96%, and 16.93% of the full life-cycle cost. Validation showed similar index patterns between the two regions before the age of 60, with slight differences in the elderly stage.Conclusions:The age-specific medical expenditure index could reflect the impact of age structure on healthcare costs and provide a practical tool for estimating medical insurance funding and optimizing healthcare resource allocation.

Objective:To develop a financing model for the urban and rural residents′ basic medical insurance (URBMI) based on medical service costs, providing a scientific foundation for achieving a balance between fund revenue and expenditure.Methods:Drawing on operational experience from regional hospitals, 10 key factors influencing URBMI fund expenditures were distilled: the number of hospital beds per thousand population, annual hospitalization rates per hundred population, average length of stay, bed occupancy rate, county-level hospitalization rate, regional age-specific medical expenditure index, proportion of hospital personnel costs in medical revenue, number of hospital staff per bed, average annual personnel costs per employee, and the average reimbursement rate for insured individuals. Based on these 10 key factors, a URBMI financing model for a sample region was developed, and the reasonable per-capita medical expenditure and the sustainability threshold of per-capita financing were preliminarily estimated.Results:Model calculations revealed that the predicted reasonable per-capita medical expenditure of the sample county was 4 140.9 yuan. Assuming an average reimbursement rate of 50% for URBMI enrollees, the per-capita financing requirement was at least 2 070.5 yuan. Sensitivity analysis showed that the sustainability threshold of per-capita financing was more sensitive to changes in average length of stay and the proportion of hospital personnel costs in medical revenue.Conclusions:This study constructed a URBMI financing model based on 10 key factors affecting fund expenditures. By adjusting regional characteristic variables, the model can reflect how regional economic conditions and health-care needs influence URBMI financing requirements.

In order to improve the professional level and service ability of general practitioners, this study is guided by the needs of community medical institutions in the county medical communities. Two small-class training of 15 modules were carried out for a week, taking "2+5" training mode, including 2 days of theoretical teaching and case discussion, and 5 days of bedside teaching. After the training, the theoretical examination, case report and objective clinical structured examination were carried out. Those who passed the examination were issued a certificate of qualification and given corresponding rewards. The results showed that the post-test scores of trainees after training were significantly improved compared with the pre-test scores, and the qualification rate increased from 18.4% to 85.9%. This training mode can be promoted in a wider range, but it should be adjusted appropriately according to the actual situation in various places, and the relevant departments and hospitals should give full support.

Due to the insufficient education of medical ethics and tending to medical moral educa-tion, the residents lack the ability to make ethical decisions. Therefore, we applied Four Topics method in the clinical ethics training of residents. The clinical ethics training was divided into three stages, and each stage had different training content and objectives. Dongyang People's Hospital adopted the form of lectures and panel discussions. During the group discussion, the group leader was in charge of case preparation, which came from clinical practice, and then all members applied the Four Topics method to analyze and discuss the ethical conflicts, and make the ethical decision. Through this process, residents' ability to solve ethical problems in clinical practice was enhanced.

Education of evidence-based medicine in clinical research is important in enhancing primary hospital clinical research capacity and quality.Dongyang People's Hospital of Zhejiang Province has carried out evidence-based medicine education and training,and greatly improved the performance of clinical research and development of scientific researchers.

Clinical thinking of Clinicians in Dongyang People's Hospital is gradually shifting from ‘empirical medicine’ to ‘evidence-based medicine’ after popularizing of evidence-based medicine, training core members and implementing multi-layered, multi-channeled, comprehensive and sustainable resident doctor training mode with clear steps and purposes within three years. This paper discussed on reasonable clinical practice of evidence-based medicine in primary hospital and provided realistic basis for the further development and improvement of training of evidence-based medicine in primary hospital.