Project description:BackgroundJiangsu was one of the first four pilot provinces to engage in comprehensive health care reform in China, which has been on-going for the past 5 years. This study aims to evaluate the equity, efficiency and productivity of health care resource allocation in Jiangsu Province using the most recent data, analyse the causes of deficiencies, and discuss measures to solve these problems.MethodsData were extracted from the Jiangsu Health/Family Planning Statistical Yearbook (2015-2019) and Jiangsu Statistical Yearbook (2015-2019). The Gini coefficient (G), Theil index (T) and health resource density index (HRDI) were chosen to study the fairness of health resource allocation in Jiangsu Province. Data envelopment analysis (DEA) and the Malmquist productivity index (MPI) were used to analyse the efficiency and productivity of this allocation.ResultsFrom 2014 to 2018, the total amount of health resources in Jiangsu Province increased. The G of primary resource allocation by population remained below 0.15, and that by geographical area was between 0.14 and 0.28; additionally, the G of health financial resources was below 0.26, and that by geographical area was above 0.39. T was consistent with the results for G and Lorenz curves. The HRDI shows that the allocated amounts of health care resources were the highest in southern Jiangsu, except for the number of health institutions. The average value of TE was above 0.93, and the DEA results were invalid for only two cities. From 2014 to 2018, the mean TFPC in Jiangsu was less than 1, and the values exceeded 1 for only five cities.ConclusionThe equity of basic medical resources was better than that of financial resources, and the equity of geographical allocation was better than that of population allocation. The overall efficiency of health care resource allocation was high; however, the total factor productivity of the whole province has declined due to technological regression. Jiangsu Province needs to further optimize the allocation and increase the utilization efficiency of health care resources.

Project description:BackgroundTo better meet people's growing demand for medical and health services, 21 cities in Guangdong Province were involved in the reform of public hospitals in 2017. This paper evaluates the equity and efficiency of public hospitals' health resource allocation in Guangdong Province and explores ways to change the current situation.MethodsData were collected from the Guangdong Health Statistical Yearbook 2016-2020 and Guangdong Statistical Yearbook 2017-2021. The Gini coefficient (G), Theil index (T), and health resource density index (HRDI) were used to measure the equity of health resource allocation. An improved three-stage DEA method was applied in efficiency evaluation. The entropy weight method was employed to calculate the weight of different indicators to obtain a comprehensive indicator representing the overall volume of health resources in each city. A two-dimensional matrix was drawn between the HRDI of the comprehensive indicator and efficiency and the per capita government financial subsidies and efficiency to observe the coordination of equity and efficiency across regions.ResultsFrom 2016 to 2020, the G of public hospital, bed, and health technician allocation by population remained below 0.2, while that by geographical area ranged from 0.4 to 0.6; the G of government financial subsidies by population was above 0.4, while that by geographical area was greater than 0.7. The results for T showed that inequality mainly comes from intraregional differences, and the Pearl River Delta contributes most to the overall differences. Although the HRDI of the Pearl River Delta is far greater than that of other regions, obvious differences exist across cities in the region. Only 38.1% of cities were found to be efficient in 2020. The Pearl River Delta was in the first quadrant, and the other three regions were in the third quadrant, accounting for a large proportion.ConclusionThe equity of government financial subsidies allocation was the worst, and there were distinct regional differences in the geographical distribution of health resources. The development of healthcare within the Pearl River Delta was highly unbalanced. The development of healthcare was uneven between the Pearl River Delta, eastern, western, and mountainous regions. In addition, most cities in the eastern, western, and mountainous regions bore the dual pressures of relatively insufficient health resources and inefficiency.

Project description:ObjectiveTo analyze the equity and efficiency of public health resource allocation in China from 2018 to 2022, and to provide a scientific basis for promoting the development of public health resources in China.MethodsData on public health resources of 31 provincial-level administrative regions in mainland China were extracted from 2018 to 2022, and descriptive analysis, Theil index, and health resource agglomeration degree (HRAD) were used to analyze the equity, and data envelopment analysis (DEA) was used to analyze the efficiency.ResultsThe Theil index of public health resource allocation by population in China ranges from 0.006 to 0.049, and the Theil index contribution rate of the number of beds, health technicians, licensed (assistant) physicians, and registered nurses within region is less than 28.76%. The Theil index of public health resource allocation by geography in China ranges from 0.274 to 0.624, and the Theil index contribution rate of the number of institutions, the number of beds, health technicians, licensed (assistant) physicians, and registered nurses within region is more than 77.05%. The HRAD of public health resources is more than 2.18 in the eastern and central regions, while the HRAD of public health resources is less than 1 in the northeastern and western regions. The overall HRAD/population agglomeration degree (PAD) is less than 1 in the northeastern and eastern regions, and greater than 1 in the central and western regions overall. The scale efficiency and overall efficiency of public health resource allocation in China are not 1, the returns to scale are decreasing, and the DEA is relatively ineffective from 2019 to 2022.ConclusionThe equity by geography is slightly worse than the equity by population, and the inequity by population mainly comes from between regions, while the inequity by geography mainly comes from within regions. There is a contradiction in the equity by population and by geography allocation in the eastern and western regions, and a congruence in the equity by population and by geography allocation in the northeastern and central regions. The DEA of public health resource allocation in China is relatively ineffective in 2019-2022.

Project description:ObjectiveThis study aimed to evaluate the fairness and efficiency of health resource allocation (HRAE) in Chengdu-Chongqing Economic Circle after the new healthcare reform. This study also aimed to identify existing problems, providing empirical evidence for the government to formulate regional health plans scientifically and reasonably.MethodsThe fairness of health resource allocation was analyzed using the Gini coefficient, Theil index, and agglomeration degree from population and geographical area perspectives. The three-stage data envelopment analysis and the Malmquist productivity index were used to analyze HRAE from static and dynamic perspectives.ResultsThe Gini coefficient for population allocation in Chengdu-Chongqing Economic Circle was 0.066-0.283, and the Gini coefficient for geographical area allocation was 0.297-0.469. The contribution rate within a region was greater than that between regions, and health resources were mainly concentrated in economically developed core areas. The overall fairness of Chengdu Economic Circle was relatively better than that of Chongqing Economic Circle. Moreover, the adjusted mean technical efficiency was 0.806, indicating room for HRAE improvement in Chengdu-Chongqing Economic Circle. Stochastic Frontier Analysis found that different environmental variables have varying degrees of impact on HRAE. The adjusted mean total factor productivity change (Tfpch) was 1.027, indicating an overall upward trend in HRAE since the new healthcare reform. However, scale efficiency change (Sech) (0.997) limited the improvement of Tfpch.ConclusionThe fairness of health resources allocated by population was better than that allocated by geographical area. The unfairness of health resources mainly stemmed from intra-regional differences, with considerable health resources concentrated in core areas. Over the past 13 years, HRAE has improved but exhibited spatial heterogeneity and Sech-hindered productivity improvement. The study recommends strengthening regional cooperation and sharing to promote the integrated and high-quality development of the health and well-being in Chengdu-Chongqing Economic Circle.

Project description:BackgroundWith the increasing global aging population, how to allocate older people care resources reasonably has become an increasingly urgent international issue. China, as the largest developing country, has made many efforts to actively respond to the challenges of an aging population. However, there are still problems with uneven allocation of older people care resources and low efficiency of allocation. Therefore, this study evaluates the regional differences and dynamic evolution of the equity and efficiency of older people care resource allocation in China from 2009 to 2020, and explores ways to change the current situation.MethodsThe data used in this study were derived from the "China Statistical Yearbook" and the "China Civil Affairs Statistical Yearbook" for the period of 2010-2021. Firstly, the equity of older people care resource allocation was measured using the Gini coefficient, the Theil index, the Older People Care Resource Density Index, and the Older People Care Resource Agglomeration Degree. Secondly, the dynamic Slack-Based Measure data envelopment analysis method was adopted to evaluate efficiency. Lastly, the Z-score is used to normalize the equity index and perform classification matching with the efficiency value. Spatial autocorrelation analysis and hotspot analysis were conducted using GIS technology to examine the dynamic evolution process of older people care resource allocation equity and efficiency, as well as their spatial distribution patterns and coordination across provinces from 2009 to 2020.ResultsThe equity analysis showed that the spatial distribution of various types of older people care resources was uneven, and the differences were mainly due to internal differences within each region, with the largest equity differences observed in western provinces. Currently, older people care resources are mainly concentrated in eastern regions, while the total amount of older people care resources in western regions and some central regions is relatively small, which cannot meet the older people care needs of residents. The efficiency analysis results showed that the efficiency of older people care resource allocation has been improving over the past 12 years, and in 2020, 77.42% of provinces were located on the efficiency frontier with an average efficiency value of 0.9396. Finally, the coordination analysis results showed that there were significant spatiotemporal differences in the equity and efficiency of older people care resources allocation.ConclusionWith the development of society and economy, the total amount and service capacity of older people care resources in China have greatly improved. However, there are still significant spatiotemporal differences in the equity and efficiency of older people care resource allocation. The development of older people care services in central and eastern provinces is unbalanced, and there is a polarization trend in terms of equity and efficiency of older people care resource allocation. Most provinces in western regions face the dual dilemma of inadequate older people care resources and low utilization efficiency. It is recommended that policymakers comprehensively consider population and geographic factors in different provinces, establish relevant allocation standards according to local conditions, improve the redistribution system, and focus on increasing the total amount of older people care resources in underdeveloped provinces while promoting resource flow.

Project description:ObjectiveTo analyze the equity of health resource allocation of Traditional Chinese Medicine(TCM) and predict its development during the 14th Five-Year Plan period, and to provide a scientific basis for promoting the improvement of TCM service capacity.MethodsThe Chinese Mainland (excluding Hong Kong, Macao and Taiwan) was divided into the Northeast, Eastern, Central and Western regions, and the number of TCM medical institutions, the number of TCM beds, practitioners (assistants) of TCM and Chinese pharmacists from 2016 to 2020 were selected as evaluation indicators, and the equity of health resource allocation of TCM was evaluated by Concentration index(CI), Theil index(T) and Health resource agglomeration degree (HRAD), and the development of health resource of TCM during the 14th Five-Year Plan period was predicted by grey prediction model GM (1,1).ResultsThe Concentration index of the number of TCM medical institutions and TCM beds is negative, and the allocation tends to the regions with low economic development level. The Concentration index of practitioners (assistants) of TCM and Chinese pharmacists is positive, and the allocation tends to the regions with higher economic development level. The number of TCM medical institutions, TCM beds, practitioners (assistants) of TCM and Chinese pharmacists' Theil index allocated by geography is larger than that allocated by population, which indicates that the equity of TCM health resources allocated by population is better than that allocated by geography. The number of TCM medical institutions, practitioners (assistants) of TCM and Chinese pharmacists in between regions by population contributed more than 72% to the Theil index, indicating that the inequity mainly comes from between regions. The number of TCM medical institutions, TCM beds, practitioners (assistants) of TCM and Chinese pharmacists in within regions by geography contributed more than 80% to the Theil index, indicating that the inequity mainly comes from within regions. The HRAD in the Eastern and Central regions is greater than 1, indicating that the equity is better by geography. The HRAD in the Western region is less than 1, indicating insufficient equity by geography. The HRAD/PAD of the Central region (except for the number of TCM beds in 2020) is less than 1, indicating that it cannot meet the medical needs of the agglomerated population. The HRAD/PAD of the Western region (excluding for the Chinese pharmacists) is greater than 1, indicating that the equity is better than that of the agglomeration population.ConclusionThe number of TCM medical institutions and TCM beds tends to regions with low economic development levels, while the number of practitioners (assistants) of TCM and Chinese pharmacists tends to regions with high economic development levels. The equity of the allocation of TCM health resources by population is better than that by geography, and the inequity of the allocation by geography mainly comes from within region. The allocation of health resources of TCM in the four regions is different, and there is a contradiction between equity and actual medical needs.

Project description:BackgroundChongqing, the most populous city in Southwest China. This study aims to examine the equity of health resource allocation in Chongqing using the latest statistics, analyse possible shortcomings and propose strategies to address these issues.MethodsThis cross-sectional study used healthcare resource, population, area and gross domestic product data from the Seventh National Census Bulletin of Chongqing, the National County Statistical Yearbook, the Chongqing Municipal Bureau of Statistics and the Chongqing Health Statistical Yearbook 2022. We also studied the equity of health resource allocation in Chongqing by using the Gini coefficient, Lorenz curve and Theil index, and used the Analytical Hierarchy Process and Technique for Order of Preference by Similarity to Ideal Solution (AHP-TOPSIS) method to comprehensively evaluate the health resources in the four major regions of Chongqing.ResultsThe Gini coefficient of health resources in Chongqing in 2021 was the highest when allocated according to geographical area, between 0.4285 and 0.6081, both of which exceeded 0.4, and the Gini coefficient of medical equipment was the highest and exceeded 0.6. The inter-regional Theil index of each resource was greater than the intraregional Theil index, and the contribution of inter-regional differences ranged from 64.83% to 80.21%. The results of the AHP-TOPSIS method showed that the relative proximity between health resources and ideal solutions in four regions of Chongqing ranged from 0.0753 to 0.9277.ConclusionThe allocation of health resources in Chongqing exhibits pronounced inequities, particularly in the distribution of medical equipment according to geographical area. Moreover, there exists a substantial gap in the equity of health resource allocation among the four regions of Chongqing. As such, this study emphasises the need for Chongqing, China, to prioritise the equitable allocation of health resources and increase consideration of geographic factors. Implementing measures to promote equitable allocation of health resources, particularly in geographic terms, is critical.

Project description:ObjectiveThis study aimed to assess the fairness of medical resource allocation in the Yangtze River Economic Belt, based on the Healthy China strategy. It aimed to identify the issues with resource allocation fairness and provide optimization suggestions.MethodsTo assess the allocation fairness from a geographical population perspective, the study used the Health Resource Concentration and Entropy Weight TOPSIS methods. Additionally, the study analyzed the allocation fairness from an economic level angle, using the Concentration Curve and Concentration Index.ResultsThe study found that the downstream area had higher resource allocation fairness than the midstream and upstream areas. The middle reaches had more resources than the upper and lower reaches, based on population concentration. The Entropy Weight TOPSIS method found that Shanghai, Zhejiang, Chongqing, and Jiangsu had the highest comprehensive score index of agglomeration. Furthermore, from 2013 to 2019, the fairness of medical resource distribution gradually improved for different economic levels. Government health expenditure and medical beds were distributed more equitably, while general practitioners had the highest level of unfairness. However, except for medical and health institutions, traditional Chinese medicine institutions, and primary health institutions, other medical resources were mostly distributed to areas with better economic conditions.ConclusionThe study found that the fairness of medical resource allocation in the Yangtze River Economic Belt varied greatly based on geographical population distribution, with inadequate spatial accessibility and service accessibility. Although the fairness of distribution based on economic levels improved over time, medical resources were still concentrated in better economic areas. The study recommends improving regional coordinated development to enhance the fairness of medical resource allocation in the Yangtze River Economic Belt.

Project description:ObjectiveThis study aimed to examine the clinical capability of township healthcare centres (THCs), the main primary care providers in rural China, as a basis for rural health service planning.DesignObservational study of quantitative analysis using administrative data.SettingThree counties with low, middle and high social economic development level, respectively, in Sichuan province western China.Participants9 THCs and 6 county hospitals (CHs) were purposively selected in the three counties. Summary of electronic medical records of 31 633 admissions from 1 January 2015 to 30 December 2015 of these selected health institutions was obtained from the Health Information Centre of Sichuan province.Main outcome measuresSix indicators in scope of inpatient services related to diseases and surgeries in the THCs as proxy of clinical capability, were compared against national standard of capability building of THCs, among counties, and between THCs and CHs of each county.ResultsThe clinical capability of THCs was suboptimal against the national standard, though that of the middle-developed county was better than that in the rich and the poor counties. THCs mainly provided services of infectious or inflammatory diseases, of respiratory and digestive systems, but lacked clinical services related to injuries, poisoning, pregnancy, childbirth and surgeries. A large proportion of the top 20 diseases of inpatients were potentially avoidable hospitalisations (PAHs) and were overlapped between THCs and CHs.ConclusionsThe clinical capability of THCs was generally suboptimal against national standard. It may be affected by the economics, population size, facilities, workforce and the share of services of THCs in local health systems. Identification of absent services and PAHs may help to identify development priorities of local THCs. Clarification of the roles of THCs and CHs in the tiered rural health system in China is warranted to develop a better integrated health system.

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Equity and efficiency of health resource allocation in township health centers in Sichuan Province, China

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