Objective:To optimize the diagnosis-related groups (DRG) weight calculation method based on the perspective of hospital performance evaluation and the high-quality development orientation of public hospitals.Methods:Using the first page data of 3 256 701 inpatient medical records from secondary and tertiary hospitals in Beijing from January to December 2021, three algorithms including payment DRG weight, five-category DRG weight, and optimized DRG weight were used to calculate the weights of each DRG, and the differences between different algorithms were analyzed. The case-mix index (CMI) of the entire hospital and the clinical specialties to which the key DRG belongs in secondary and tertiary hospitals was calculated by using the three DRG weight algorithms, to reflect the performance evaluation results of different algorithms.Results:The results of one-way ANOVA showed that there was a significant difference ( P=0.019) among the three DRG weight algorithms. Comparing the optimized DRG weight with the payment DRG weight, the weight of BD29 (neural stimulator implantation or removal surgery) in the key DRG decreased from 7.77 to 4.61, and the weight of LA19 (renal tumor surgery) increased from 2.06 to 2.58; Compared with the five-category DRG weight, the weight of ES31 (respiratory infection/inflammation with severe complications or comorbidities) decreased from 2.36 to 1.72, and the weight of CB39 (crystalloid surgery) increased from 0.22 to 0.30. Comparing the use of optimized DRG weights and five-category DRG weights to calculate CMI, all types of hospitals and clinical specialties showed varying degrees of improvement in CMI. The CMI of tertiary hospitals increased from 1.02 to 1.20, and the CMI of secondary hospitals increased from 0.88 to 0.95. The difference in CMI between secondary and tertiary hospitals was even more pronounced. Conclusions:Optimized DRG weights could better reflect the value of medical technology compared with the payment DRG weights. Compared to five-category DRG weights, optimized DRG weights could better reflect the differences in CMI of different levels of hospitals.

Objective: To find out the present pediatrician allocation and the burden of diagnosis and treatment in Beijing, so as to provide evidence for effective allocation of pediatricians. Methods: Data and indicators were selected from Beijing Health Comprehensive Statistical Information Platform, including Manpower Basic Information Survey of Beijing Health Institutions, Annual Report of Medical Institutions, Beijing Statistical Data on Health Work(Compendium), as well as Beijing Health and Family Planning Statistical Yearbook. The study dynamically analyzed the number of pediatricians, that of pediatricians per 1 000 children, that of outpatients and emergency patients per pediatrician and the number of discharges per pediatrician from 2013 to 2017. Descriptive analysis was carried out on the data. Results: In 2017, the proportion of pediatricians accounted for 2.78% of the total number of doctors in the city, the number of pediatric emergencies accounted for 6.47% of the total outpatients and emergencies in the city, and the number of hospitalizations accounted for 5.70% of the total discharge in the city.From 2013 to 2017, the number of outpatients and emergency patients per pediatrician increased by 40.58%, and the number of discharged patients increased by 36.70%. The proportion of hospitalization at tertiary hospitals increased from 80.2% to 85.1%, and that in primary institutions decreased from 6.3% to 1.7%. Conclusions The study found such setbacks in the allocation of pediatric medical resources in Beijing, as insufficient pediatricians, unreasonable allocation and excessive burden on pediatricians. We should strengthen the planning and construction of pediatric human resources, improve the training mode of pediatricians, improve the salary level of pediatricians, and ease the burden on pediatricians, so as to provide high-quality medical services for children.