[Purpose]To analyze the incidence and mortality rates of female breast cancer in Henan Province in 2020 and the trends from 2010 to 2020.[Methods]Breast cancer incidence and mor-tality data stratified by urban and rural areas and age groups were collected from Henan Provincial tumor registry,and the province's household population statistics were used.The crude incidence/mortality rate,age-standardized incidence/mortality rate by Chinese standard population(ASIRC/ASMRC)and world standard population(ASIRW/ASMRW),cumulative rate(0～74 year old)were calculated.The annual percentage change(APC),average annual percentage change(AAPC)and 95％confidence interval(CI)were calculated using Joinpoint software to analyze the trends of the incidence and mortality from 2010 to 2020.[Results]In 2020,24 744 new cases and 4 989 deaths of female breast cancer were documented in Henan Province,with a crude incidence rate of 46.96/105,ASIRC of 38.43/105 and ASIRW of 35.71/105;a crude mortality rate of 9.47/105,ASMRC of 6.80/105 and ASMRW of 6.72/105,respectively.The above indicators in urban areas were signifi-cantly higher than those in rural areas.The highest incidence was observed in the age group of 50～54 years old,while the highest mortality reached in the age group of 85 years old and above.From 2010 to 2020,the overall incidence of female breast cancer showed a slow upward trend(AAPC=2.09％,95％CI:0.62％～3.58％,P=0.010),while the mortality rate exhibited a signif-icant downward trend(AAPC=-3.49％,95％CI:-5.62％～-1.30％,P=0.005).[Conclusion]The incidence and mortality rates of female breast cancer in Henan Province are still at a high level,and corresponding preventive measures and control strategies are needed to effectively reduce the health hazards of breast cancer to women.

Operation management is an important tool to promote the high-quality development of public hospitals in China.Since the founding of New China,based on China's economic and social development and medical and health system reform,the evolution of operation management of public hospitals in China can be divided into four stages,the system building stage(1949-1978),the liberalization and revitalization stage(1979-1996),the operation mechanism reform stage(1997-2020),and the new stage of high-quality development(2021 present).The development trend of public hospital operation management in future should deepen the public welfare-oriented public hospital operation management,explore the value-oriented medical operation management model based on high-quality development and the refined operation and management model of public hospitals,so as to promote the high-quality development of public hospitals in China.

Promoting the innovation of the operational assistant service model of public hospitals is an important task to realize the lean operation management of public hospital.Through literature research,four typical operational assistant service models currently implemented in public hospitals in China are summarized:the specialized opera-tional assistant service model,the part-time operational assistant service model,the'team-based'operational assistant service model,and the hybrid financial assistant service model combining full-time and part-time roles.These four models are compared and analyzed from five dimensions:management system,role positioning,per-sonnel composition,selection and training,and service mechanism.Based on this,it is proposed that a new Spe-cialized Multi-Disciplinary Team operational assistant service model should be explored and developed according to local conditions to meet the new requirements for lean operational management and high-quality development of public hospitals in the new era.

Objective To construct a competency modeling index system for operation assistants,and to provide a scientific tool for the selection,training,assessment and evaluation of operation assistants in public hospitals.Methods The job analysis method is used to analyze the job responsibilities and functional positioning of operation assistants;key elements of operation assistant competency are extracted based on the iceberg model,and the competency evaluation indexes are constructed by borrowing thematic group discussion and expert consulting method;the CRITIC weight method is used to determine the weights of each index.Results A competency evaluation index system for operations assistants in public hospitals was established with five dimensions and 19 indicators,including professional knowledge,work skills,coordination ability,behavioral motivation and personal traits.Conclusion The competency evaluation index system for operations assistants in public hospitals constructed in this study is of good scientific quality and can provide a quantitative evaluation tool for realizing job matching.

Under the new situation,the selection of operation assistants in public hospitals is a major measure to improve the level of lean operation management of hospitals,so it is very important to design a scientific and reasonable selection and training mechanism for operation assistants.Through literature research and drawing on the competency model,a tertiary grade A cardiovascular disease hospital was selected as a case study to explore the construction of a selection mechanism from four aspects:selection objects,selection conditions,selection methods and selection criteria.Five training mechanisms were formulated from five aspects:capacity improvement,clinical service,data analysis,evaluation and feedback,and organizational behavior norms,and then it was proposed that attention should be paid to the scientific,feasible,replicable and innovative nature of the selection and training mechanism,so as to build an effective public hospital operation assistant team.

Historically,with the decentralisation of county-level medical service price management,inconsistencies in large urban county medical service prices have arisen,facing a serious challenge to the allocation of regional medical resources and the fairness of patients' access to healthcare.There is therefore an urgent need to integrate and standardise county medical service prices.It provides a comprehensive overview of the integration process of county medical service prices in Zhengzhou,focusing on the establishment of integration principles,the determination of programme parameters,the initial integration phase,and the refinement of measurement mechanisms.It also puts forward a series of recommendations and strategies for enhancement,including the further rationalisation of the ratio-price relationship among items,the gradual promotion of price adjustment,and the establishment of a continuous dynamic monitoring mechanism.It also puts forward suggestions and strategies for improvement in terms of further rationalising the price relationship between items and gradually promoting price adjustment,and establishing a continuous dynamic monitoring mechanism.

Objective Exploring the influencing factors and coping strategies for Loss-Making Groups under DIP payment in public hospitals.Methods Using grounded theory,semi-structured interviews were conducted at a cardiovascular hospital in Henan Province from July to September 2023.The collected data were organized,coded,and integrated.Results Analysis of 19 interview transcripts yielded 54 initial concepts,13 initial categories,6 main categories and 3 core categories,leading to the construction of an optimization model for DIP loss-making groups in public hospitals.This model encompasses internal hospital control,incentive mechanisms,and support from health insurance policies.Conclusion It is recommended that hospitals enhance diagnostic and cost-control standards for DIP,establish a DIP-oriented performance evaluation system,and ensure reasonable reimbursement through health insurance policies.Additionally,policy measures should encourage innovation in new technologies to maximize resource efficiency and promote sustainable operations.

Objective:To investigate the survival outcomes and prognostic factors of patients with double primary breast cancer (BC) and endometrial cancer (EC).Methods:A retrospective cohort study was conducted using data for the period 1992-2018 from the Surveillance, Epidemiology, and End Results (SEER) database. There were 3 465 patients with BC as the first primary cancer (BC-EC group) and 2 804 patients with EC as the first primary cancer (EC-BC group). Kaplan-Meier analysis and cumulative incidence function were used to estimate overall mortality, breast cancer-specific mortality, and endometrial cancer-specific mortality, respectively. Cox regression and Fine-Gray regression were used to analyze the prognostic factors of overall mortality, breast cancer-specific mortality, and endometrial cancer-specific mortality, respectively.Results:During a median follow-up of 160 months, 1 616 deaths occurred in the BC-EC group, with EC being the leading cause of death (37.69%); 994 deaths occurred in the EC-BC group, with BC being the leading cause of death (28.77%). Cox regression identified patients with older ages at first primary cancer diagnosis (54-61 years: HR=1.46, 95% CI: 1.26-1.69; 62-68 years: HR=2.64, 95% CI: 2.29-3.03; ≥69 years: HR=4.89, 95% CI: 4.27-5.60), shorter time interval between the diagnoses (0-5 months: HR=6.13, 95% CI: 5.21-7.21; 6-23 months: HR=5.69, 95% CI: 4.95-6.55; 24-59 months: HR=3.44, 95% CI: 3.04-3.89; 60-119 months: HR=2.32, 95% CI: 2.07-2.59), mixed ductal-lobular BC ( HR=1.29, 95% CI: 1.11-1.48), endometrial mixed cell adenocarcinoma ( HR=1.23, 95% CI: 1.01-1.50), advanced tumor grade (grade Ⅱ BC: HR=1.13, 95% CI: 1.01-1.27; grade Ⅲ BC: HR=1.24, 95% CI: 1.10-1.41; grade Ⅱ EC: HR=1.19, 95% CI: 1.06-1.33; grade Ⅲ EC: HR=1.68, 95% CI: 1.48-1.90), advanced tumor stage of the two cancers (distant BC: HR=3.14, 95% CI: 2.50-3.94; regional EC: HR=1.53, 95% CI: 1.36-1.71; distant EC: HR=3.00, 95% CI: 2.59-3.47) had increased risk of overall mortality. Fine-Gray regression showed that compared with BC-EC patients, EC-BC patients had a higher risk of breast cancer-specific mortality [sub-distribution hazard ratio (s HR=1.24, 95% CI: 1.04-1.47], but a lower risk of endometrial cancer-specific mortality (s HR=0.37, 95% CI: 0.30-0.46). Older ages at first cancer diagnosis, shorter intervals between the diagnoses, negative ER and PR status, and advanced BC grades/stages were associated with increased breast cancer-specific mortality ( P＜0.05). Similarly, older ages, shorter intervals, endometrial serous carcinoma/mixed cell adenocarcinoma, and advanced EC grades/stages correlated with elevated endometrial cancer-specific mortality ( P＜0.05). Conclusion:The management of double primary BC and EC patients requires multidisciplinary strategies, with particular attention to patients presenting older ages at first cancer diagnosis, shorter intervals between the diagnoses, and unfavorable tumor characteristics.

As one of the major public health challenges globally, tuberculosis requires epidemiological research for its control and prevention. With the advent of the big data era, machine learning has advantages over traditional methods in handling complex, high-dimensional datasets and providing accurate predictive results. This paper introduces the application of machine learning in the discovery and diagnosis of tuberculosis cases, risk factor analysis, predictive modeling, and evaluation of intervention strategies, providing new means for more in-depth exploration of the value in tuberculosis epidemiological research.

Objective:To evaluate the association between triglyceride-glucose(TyG) index level, their variability, and the risk of incident hyperuricemia(HUA).Methods:A total of 1 583 cases with good compliance who underwent follow-up at the health examination center of a tertiary hospital physical in Zhengzhou were enrolled. The TyG index mean(TyG-mean) and variability indexes, including standard deviation(TyG-SD), coefficient of variation(TyG-CV), and adjusted standard deviation(adj-TyG-SD), were calculated based on TyG index values from three consecutive annual health check-ups. Cox proportional risk regression model was used to assess the relationship between the variability of TyG index and the risk of new-onset HUA; the dose-response relationship between different TyG indexes and HUA was examined using restricted cubic spline(RCS). Results:After a 3-year follow-up, 146 participants developed incident HUA. Both TyG-mean and TyG index variability indicators were significantly higher in the HUA group compared to the non-HUA group( P<0.05). After adjusting for multiple confounders, each standard deviation σincrease in TyG-SD, TyG-CV, and adj-TyG-SD was associated with a 1.23-fold(95% CI 1.06-1.43), 1.22-fold(95% CI 1.05-1.42), and 1.26-fold(95% CI 1.08-1.45) higher risk of incident HUA, respectively. RCS analysis revealed a nonlinear association between adj-TyG-SD and HUA risk( P<0.05), with a critical threshold of 0.55 at a hazard ratio( HR) of 1. Conclusions:Increased TyG index variability is associated with a higher risk of incident HUA, with adj-TyG-SD showing the strongest correlation with HUA risk.