To predict the development of health resource allocation in Jilin Province during the 14th 5-Year Plan period, and to provide a scientific basis for promoting the improvement of its service capacity. The data of the health resource from 2015 to 2022 were obtained from the Jilin Statistical Yearbook, and the number of medical institutions, medical beds, health technicians, licensed (assistant) physicians, registered nurses and pharmacists were selected as evaluation indicators, and the grey prediction model constructed by Python was used to predict the development from 2023 to 2025. In the 14th 5-Year Plan period, the health resource in Jilin Province showed an increasing trend, and it is predicted that in 2025, the number of medical institutions, medical beds, health technicians, licensed (assistant) physicians, registered nurses, and pharmacists in Jilin Province will reach 28,999, 196,328, 262,219, 101,273, 129,586, and 9469, respectively. Except that the pharmacist team failed to meet the planning objectives of the 14th 5-Year Plan, the remaining health resources could meet the planning requirements. The allocation level of health resources in Jilin Province has been continuously improved, but it still faces the problems that the allocation of medical beds needs to be optimized, the doctor-nurse ratio needs to be improved, the reserve of registered nurses is insufficient, there is a gap in the pharmacist team, and the development of pharmacy services is slow.

BACKGROUND: Ensuring that the scale and hierarchical structure of health human resources are rational, and that medical services are efficient and fair, is an important task of practical significance. On this basis, examining the impact of health human resources on the level of medical services presents a new and formidable challenge. This study aims to delve into how the scale and hierarchical structure of health human resources in China\'s four major economic regions affect the fairness and efficiency of medical services, and to identify optimization strategies.
METHODS: This study utilizes provincial panel data from China\'s four major economic regions spanning the years 2009 to 2021. Initially, it provides a statistical description of the current state of health human resources and the level of medical services. Subsequently, it employs a fixed-effects model to analyze the impact of the scale and hierarchical structure of health human resources, as well as their interactive effects, on the fairness and efficiency of medical services, and discusses the interactive mechanisms between medical service fairness and medical service efficiency. Furthermore, after conducting a comprehensive evaluation of the level of medical services using the entropy weight method, it explores the regional heterogeneity and temporal dynamics in the influence of the scale and hierarchical structure of health human resources on the level of medical services. Finally, the study examines the scientific validity and rationality of the research findings through various robustness checks, including the substitution of research variables and models.
RESULTS: The study found that the scale of health human resources has a promoting effect on the equity of medical services (β ≤ 0.643, p ≤ 0.01), but exhibits an inhibitory effect on the efficiency of medical services (β ≥ -0.079, p ≤ 0.1); the hierarchical structure of health human resources shows a positive impact on both the equity and efficiency of medical services (βequity ≤ 0.160, p ≤ 0.01; βefficiency ≤ 0.341, p ≤ 0.05); at the same time, the results indicate that the interactive effect of the scale and hierarchical structure of health human resources promotes equity in medical services (β = 0.067, p ≤ 0.01), but restricts the efficiency of medical services (β ≥ -0.039, p ≤ 0.01); the mechanism by which health human resources affect the level of medical services in China\'s western and northeastern regions is more pronounced than in the central and eastern regions; after the implementation of the \"Healthy China 2030\" Planning Outline, the role of health human resources in the level of medical services has been strengthened; in the robustness tests, the model remains robust after replacing the core explanatory variables, with R2 maintained between 0.869 and 0.972, and the dynamic GMM model test shows a significant second-order lag in the level of medical services (βequity ≤ 0.149, p ≤ 0.01; βefficiency ≤ 0.461, p ≤ 0.01); the channel test results prove that managerial personnel and other technical personnel are key pathways in regulating the impact of medical staff on the level of medical services.
CONCLUSIONS: This study provides an in-depth analysis of the impact of health human resources on the level of medical services, revealing that both the scale and hierarchical structure of health human resources significantly affect the equity and efficiency of medical services. Furthermore, the influence of health human resources on the level of medical services exhibits regional heterogeneity and temporal characteristics. Robustness tests ensure the scientific validity and robustness of the research conclusions. This provides effective references for optimizing the allocation of health human resources and improving the level of medical services.

OBJECTIVE: To analyze the coupling and coordination level of medical education and health resource allocation in China, and to provide scientific basis for promoting the high-quality development of medical education and the efficient allocation of health resources.
METHODS: Based on the panel data from 2011 to 2021, the coupling coordination degree model was used to measure the coupling coordination index of medical education and health resources in China. The spatial auto-correlation model was used to analyze the development status and distribution characteristics of the coupling coordination degree of the two systems. The kernel density estimation method was used to analyze the dynamic evolution trend of the coupling coordination of the two systems. The QR quantile regression model was used to explore the key factors affecting the coupling coordination degree of the two systems.
RESULTS: During the observation period, the coupling coordination degree of the two systems increased from 0.393 to 0.465, with a growth rate of 18.3%. The coupling coordination degree between regions gradually decreased in the eastern-central and eastern-western regions, and there were still large differences between the central and western regions. The coupling coordination degree of the two systems in the region was significantly different in the eastern and western regions, and the central region was relatively similar. There is a positive spatial correlation between the provinces, and 25.81% of the provinces have transitions. Finally, the number of points in the first and third quadrants is higher than that in the second and fourth quadrants. In the process of dynamic distribution, the degree of polarization of the coupling coordination degree curve of the two systems is gradually weakened. Per capita GDP, residents \' income difference and population size are the positive and significant factors driving the coupling and coordinated development of the two systems.
CONCLUSIONS: The coupling and coordination degree of the two systems of medical education and health resource allocation showed a stable upward trend during the observation period, and the global spatial positive correlation also gradually increased, showing the spatial agglomeration characteristics of \' high-high agglomeration \' and \' low-low agglomeration \'. The spatial difference of coupling coordination degree shows a shrinking trend and develops towards equalization. The coupling coordination degree of the two systems is affected by social, economic and demographic factors to varying degrees. Therefore, it is necessary to innovate the coordinated development mechanism of the two systems, promote the two-way flow of medical education and health resource allocation in talents, technology and other elements, and then promote the coupling and coordinated development of the two systems.

UNASSIGNED: To evaluate the cost-effectiveness of budesonide/formoterol reliever and maintenance therapy compared with salmeterol/fluticasone plus salbutamol as reliever therapy for asthma patients ≥12 years from the societal perspective in China.
UNASSIGNED: A Markov model was developed with three health states (non-exacerbation, exacerbation, and death) with a lifetime horizon. The exacerbation rates were obtained from a prospective cohort study conducted in Chinese asthma patients. Healthcare resources utilization data were estimated based on current clinical asthma management guidelines. Asthma-related mortality, cost input and utility values were derived from public database and literature. Model robustness was assessed with one-way sensitivity and probabilistic sensitivity analyses.
UNASSIGNED: Compared with salmeterol/fluticasone plus salbutamol, budesonide/formoterol reliever and maintenance therapy led to fewer exacerbation events (13.6 vs. 15.9) and 0.0077 quality-adjusted life years (QALY) gain at an additional cost of ¥196.38 over lifetime. The base case incremental cost-effectiveness ratio (ICER) was ¥25,409.98 per QALY gained. The variables that had most impact on the model output included drug costs and medication adherence. At a willingness-to-pay threshold of ¥257,094/QALY (3 times of gross domestic product per capita in China in 2022), the probability of budesonide/formoterol maintenance and reliever therapy being cost-effective versus salmeterol/fluticasone plus as-needed salbutamol was 83.00%.
UNASSIGNED: From the societal perspective, budesonide/formoterol reliever and maintenance therapy is likely to be a cost-effective option compared with salmeterol/fluticasone plus as-needed salbutamol for Chinese asthma patients ≥12 years.

Since 2009, China has made large investments in strengthening the primary healthcare system. This study aimed to examine the trends in the number and distribution of health resources in rural China following the health system reform and to decompose the sources of inequalities. Data were collected from standardized reports compiled by each county in rural China and compiled by the National Health Commission and Bureau of Statistics. From the findings of this empirical study, resource allocation per capita for primary health care (PHC) improved gradually from 2008 to 2014. The distribution of beds across counties (ranked by level of economic development) was relatively equitable. However, the concentration curve analysis indicated that the distribution of primary care professionals remained skewed in favour of wealthier and more urbanised counties. Economic status was proved to be a major contributor to the inequality of health human resource. China\'s primary care reforms resulted in simultaneously improved supply of PHC resources as well as pro-rich inequality in distribution of the workforce. To advance equality in health resource allocation, greater attention should be paid to the substantial inequality of economic status within counties.

OBJECTIVE: To analyze the trend of the coupling and coordination of the supply and demand of healthcare resources between the elderly population and healthcare resources in China during the period of 2012-2022, to reveal the impact of the growth of the elderly population on the relationship between the supply and demand of healthcare resources, and to put forward suggestions to improve the coupling and coordination between the supply and demand of healthcare resources and the elderly population, in order to cope with the challenges of an aging society.
METHODS: By obtaining relevant data from authoritative data sources such as China Statistical Yearbook, Health and Health Statistics Yearbook, and the Chinese government website from 2012 to 2022, we constructed a comprehensive measurement index for the three systems of elderly population, healthcare resource supply, and healthcare resource demand; Using the entropy value method to assign weights to the indicators, combined with the coupling coordination degree model, to reveal the changes of the elderly population change and the supply and demand of medical and health resources; using ArcGIS technology, to study the spatial characteristics of the elderly population change and the supply and demand of medical and health resources.
RESULTS: From 2012 to 2022, the supply and demand of healthcare resources and the variation of the elderly population in China show a continuous growth trend, and the comprehensive development level of the system gradually climbs from a low level to a high level. The fluctuation of coupling degree and coordination degree rises, although the coordination degree has always been lower than the coupling degree, but the distance between the coordination degree and the coupling degree gradually narrows with the passage of time. The coordination degree between population aging and medical and health resources development shows spatial heterogeneity in China, with the eastern region significantly higher than the western region/.
CONCLUSIONS: The coupling degree between population aging and healthcare resource supply and demand in China from 2012 to 2022 shows a general upward trend from low coupling to medium-high coupling, but it is worth noting that even though the degree of coupling increases, the degree of coordination is still relatively lagging behind, suggesting that the government and relevant departments need to pay more attention to coordinated allocation and management of healthcare resources. At the same time, the spatial differences in the degree of coordination among provinces suggest that future policymakers should take regional differences into full consideration in policymaking and sustainable development.

Multiple sclerosis (MS) is uncommon in China and the standard of care is underdeveloped, with limited utilization of disease-modifying treatment (DMT). An understanding of real-world disease burden (including direct medical, non-medical, and indirect costs, such as loss of productivity), is currently lacking in this population. To investigate the overall burden of managing patients with MS in China, a cross-sectional survey of physicians and their consulting patients with MS was conducted in 2021. Physicians provided information on healthcare resource utilization (HCRU; consultations, hospitalizations, tests, medication) and associated costs. Patients provided data on changes in their life, productivity, and impairment of daily activities due to MS. Results were stratified by disease severity using generalized linear models, with a p value < 0.05 considered statistically significant. Patients with more severe disease had greater HCRU, including hospitalizations, consultations and tests/scans, and incurred higher direct and indirect costs and productivity loss, compared with those with milder disease. However, the use of DMT was higher in patients with mild disease severity. With the low uptake and limited efficacy of non-DMT drugs, Chinese patients with MS experience a high disease burden and significant unmet needs. Therapeutic interventions could help save downstream costs and lessen societal burden.

UNASSIGNED: Internet hospitals, online health communities, and other digital health APPs have brought many changes to people\'s lives. However, digital health resources are experiencing low continuance intention due to many factors, including information security, service quality, and personal characteristics of users.
UNASSIGNED: We used cross-sectional surveys and structural equation modeling analysis to explore factors influencing user willingness to continue using digital health resources.
UNASSIGNED: Information quality (β = 0.31, p < 0.05), service quality (β = 0.19, p < 0.05), platform reputation (β = 0.34, p < 0.05), and emotional support (β = 0.23, p < 0.05) have significant positive effects on user value co-creation behavior. Additionally, user trust and perceived usefulness could mediate the association between user value co-creation behavior and continuance intention, with mediation effects of 0.143 and 0.125, respectively. User involvement can positively moderate the association between user value co-creation behavior and user trust (β = 0.151, t = 2.480, p < 0.001). Also, user involvement can positively moderate the association between value co-creation behavior and perceived usefulness (β = 0.103, t = 3.377, p < 0.001).
UNASSIGNED: The keys to solving the problem of low continuance intention are improving the quality and service level of digital health resources, and promoting users\' value co-creation behavior. Meanwhile, enterprises should build a good reputation, create a positive communication atmosphere in the community, and enhance user participation and sense of belonging.

UNASSIGNED: China\'s rural population is immense, and to ensure the well-being of rural residents through healthcare services, it is essential to analyze the resources of rural grassroots healthcare institutions in China. The objective is to examine the discrepancies and deficiencies in resources between rural grassroots healthcare institutions and the national average, providing a basis for future improvements and supplementation of rural healthcare resources.
UNASSIGNED: The study analyzed data from 2020 to 2022 on the number of healthcare establishments, the capacity of hospital beds, the number of healthcare professionals, and the number of physicians in both rural and national settings. Additionally, it examined the medical service conditions and ratios of township health centers in rural areas to assess the resource gap between rural areas and the national average.
UNASSIGNED: Healthcare establishments: On average, there were 2.2 fewer healthcare institutions per 10,000 persons in rural areas compared to the national average over three years. Hospital beds: On average, there were approximately 36 fewer hospital beds per 10,000 persons in rural areas compared to the national average over three years. Healthcare professionals and physicians: On average, there were about 48 fewer healthcare technical personnel and 10 fewer practicing (including assistant) physicians per 10,000 persons in rural areas compared to the national average over three years.
UNASSIGNED: Compared to the national average, there are significant discrepancies and deficiencies in grassroots healthcare resources in rural China. This underscores the necessity of increasing funding to progressively enhance the number of healthcare institutions in rural areas, expand the number of healthcare personnel, and elevate medical standards to better align with national benchmarks. Improving rural healthcare resources will strategically equip these institutions to cater to rural communities and effectively handle public health emergencies. Ensuring that the rural population in China has equal access to healthcare services as the rest of the country is crucial for promoting the well-being of rural residents and achieving health equity.

In this article, we have constructed a stochastic SIR model with healthcare resources and logistic growth, aiming to explore the effect of random environment and healthcare resources on disease transmission dynamics. We have showed that under mild extra conditions, there exists a critical parameter, i.e., the basic reproduction number $ R_0^s $, which completely determines the dynamics of disease: when $ R_0^s < 1 $, the disease is eradicated; while when $ R_0^s > 1 $, the disease is persistent. To validate our theoretical findings, we conducted some numerical simulations using actual parameter values of COVID-19. Both our theoretical and simulation results indicated that (1) the white noise can significantly affect the dynamics of a disease, and importantly, it can shift the stability of the disease-free equilibrium; (2) infectious disease resurgence may be caused by random switching of the environment; and (3) it is vital to maintain adequate healthcare resources to control the spread of disease.