Distribution Of Health Care Resources Research Articles

Dynamic recommender system for chronic disease-focused online health community

Unequal distribution of healthcare resources poses a significant challenge in numerous regions and countries worldwide. Online Health Communities (OHCs) serve as pivotal platforms for patients to share treatment experiences and seek emotional support from peers facing similar health challenges. The facilitation of efficient user navigation to relevant sub-communities and topics within OHCs emerges as a critical need. Addressing these complexities, a recommendation system specifically designed for OHCs is proposed to tackle unique challenges such as simultaneous prediction of sub-communities and topics with varying levels of information, capturing the influence of evolving health stages on patient interactions, and ensuring coherent recommendations. To meet these challenges, OHCs are conceptualized as dynamic tripartite graphs that model three primary entities—patients, sub-communities, and topics—alongside their temporal interactions. Novel techniques including dynamic tripartite subgraph convolution and dynamic tripartite collaborative filtering are introduced to effectively capture the impact of changing health stages. Additionally, a multi-type entity prediction method is developed to forecast sub-communities and topics, incorporating robust constraints to ensure the validity of predictions. The study conducts extensive experiments using real-world datasets from two online chronic disease communities, including the Breast OHC dataset and the Bladder OHC dataset, encompassing 5,346,591 and 16,427 patient interactions, respectively. Results demonstrate significant advancements over state-of-the-art methods, achieving maximum improvements of 11% and 15% in Mean Reciprocal Rank and Recall metrics, respectively. Sensitivity analyses of online and batch-based algorithms provide insights into the trade-offs between efficiency and accuracy, supported by an illustrative application example highlighting the system’s superiority over existing approaches.

Advances in the selection and timing of postoperative radioiodine treatment in patients with differentiated thyroid carcinoma.

Differentiated thyroid cancer (DTC) is the most common endocrine malignancy. Patients who receive systematic care typically have a better prognosis. RAI treatment plays a key role in eradicating any remaining thyroid lesions in DTC patients, hence decreasing the risk of distant metastases and cancer recurrence. As research continues to advance, RAI treatment is becoming more and more individualized. Because of the excellent prognosis for DTC patients, there is a relatively broad window for RAI treatment, making it easy to overlook when to receive RAI treatment. However, research on this issue can help patients with varying recurrence risk stratification make better decisions about when to begin RAI treatment following surgery, and physicians can schedule patients based on the severity of their disease. This will improve patient prognosis and lessen needless anxiety in addition to helping solve the problems of unjust healthcare resource distribution. In this review, we will mainly discuss the target population of RAI treatment as well as studies that examine the impact of RAI treatment timingon patient outcomes. In an effort to discourage DTC patients and physicians from selecting RAI therapy at random, we also review the possible negative effects of this treatment.

Equality of healthcare resource allocation between impoverished counties and non-impoverished counties in Northwest China: a longitudinal study

BackgroundThe Health and Medical Assistance Program for Poverty Alleviation is part of China’s targeted poverty elimination strategy, which aims to protect poor people’s right to health and prevent them from becoming trapped in or returning to poverty because of illness. Many tasks have been defined in this program, including raising the medical insurance level, providing a triage system, improving medical and health services, and enhancing people’s health. One pivotal aspect of this initiative involves equitable health resource allocation, a key measure aimed at bolstering medical and health services. This study aimed to analyze and compare health resource allocations in different counties in Northwest China after the implementation of the program.MethodsThe Gini coefficient quantifies the level of distributional equality, the Theil index assesses the sources of inequality, and the Health Resource Agglomeration Degree gauges the accessibility of health resources.Results1) The health resource allocation distributed based on population(Gini Coefficient < 0.45) was more equitable than that distributed based on area(Gini Coefficient > 0.35) among counties in Northwest China. 2) The contribution rate within non-impoverished counties is higher than that of impoverished counties, which means the inequality within non-impoverished counties. 3) The allocation of beds in medical institutions by area in non-impoverished counties was better than that in impoverished counties, and accessibility to health services for residents in non-impoverished counties was better than that in impoverished counties.ConclusionThe analysis of health resource allocation among the five provinces in Northwest China revealed significant differences in equality among the five provinces in Northwest China, and the differences were mainly derived from the non-impoverished counties. Although the equality is gradually improving, the number of health resources in impoverished counties remain lower than that in non-impoverished counties.Subsequently, it is essential to ensure equitable distribution of healthcare resources while also taking into account their utilization and quality.

Uncovering the state of knowledge about healthcare gentrification: a scoping review protocol

IntroductionHealthcare gentrification is the process in which the distribution of healthcare resources within a neighbourhood affects residents' access to healthcare services. To understand the complexity of healthcare access and to...

Machine Learning for Evaluating Hospital Mobility: An Italian Case Study

This study delves into hospital mobility within the Italian regions of Apulia and Emilia-Romagna, interpreting it as an indicator of perceived service quality. Utilizing logistic regression alongside other machine learning techniques, we analyze the impact of structural, operational, and clinical variables on patient perceptions of quality, thus influencing their healthcare choices. The analysis of mobility trends has uncovered significant regional differences, emphasizing how the regional context shapes perceived service quality. To further enhance the analysis, SHAP (SHapley Additive exPlanations) values have been integrated into the logistic regression model. These values quantify the specific contributions of each variable to the perceived quality of service, significantly improving the interpretability and fairness of evaluations. A methodological innovation of this study is the use of these SHAP impact scores as weights in the data envelopment analysis (DEA), facilitating a comparative efficiency analysis of healthcare facilities that is both weighted and normative. The combination of logistic regression and SHAP-weighted DEA provides a deeper understanding of perceived quality dynamics and offers essential insights for optimizing the distribution of healthcare resources. This approach underscores the importance of data-driven strategies to develop more equitable, efficient, and patient-centered healthcare systems. This research significantly contributes to the understanding of perceived quality dynamics within the healthcare context and promotes further investigations to enhance service accessibility and quality, leveraging machine learning as a tool to increase the efficiency of healthcare services across diverse regional settings. These findings are pivotal for policymakers and healthcare system managers aiming to reduce regional disparities and promote a more responsive and personalized healthcare service.

The Impact of a City’s Healthcare Resources on Immigrants’ Employment Quality

This study investigates the impact of city healthcare resources on immigrants’ employment quality. It has implications for promoting equity in the distribution of healthcare resources, which is critical for immigrants’ survival and settlement. Moreover, the relationship between healthcare resources and employment quality is equally relevant to developing-country urbanization. Using data from the China Migrants Dynamic Survey (CMDS) from 2016 to 2018, we demonstrate the effect of healthcare resources on employment quality. Cities’ healthcare resources are significantly correlated with immigrants’ quality of employment. The more healthcare resources are available, the higher the income from work, the shorter the working hours, and the more stable the employment of immigrants. The quality-enhancing effect of healthcare resources on employment quality is substantial among immigrants with health training and medical files. Urban medical insurance has important differentiating implications for immigrants’ access to healthcare resources. Healthcare resources enhance the employment quality of immigrants by improving their health status and integration into local society. Promoting equalizing healthcare resources and adjusting the differences between urban and rural medical insurance systems increase immigrant employment quality.

Temporal Analysis of the Incidence, Mortality and Disability-Adjusted Life Years of Benign Gallbladder and Biliary Diseases in High-Income Nations, 1990-2019.

The aim of this observational study was to analyze trends in the incidence, mortality, and disability-adjusted life years (DALYs) of benign gallbladder and biliary diseases across high-income countries between 1990 and 2019. Benign gallbladder and biliary diseases place a substantial burden on healthcare systems in high-income countries. Accurate characterization of the disease burden may help optimize healthcare policy and resource distribution. Age-standardized incidence rates (ASIRs), age-standardized mortality rates (ASMRs), and DALYs data for gallbladder and biliary diseases in males and females were extracted from the 2019 Global Burden of Disease (GBD) study. A mortality-incidence index (MII) was also calculated. Joinpoint regression analysis was performed. The median ASIRs across the European Union 15+ countries in 2019 were 758/100,000 for females and 282/100,000 for males. Between 1990 and 2019 the median percentage change in ASIR was +2.49% for females and +1.07% for males. The median ASMRs in 2019 were 1.22/100,000 for females and 1.49/100,000 for males with a median percentage change over the observation period of -21.93% and -23.01%, respectively. In 2019, the median DALYs was 65/100,000 for females and 37/100,000 among males, with comparable percentage decreases over the observation period of -21.27% and -19.23%, respectively. International variation in lifestyle factors, diagnostic and management strategies likely account for national and sex disparities. This study highlights the importance of ongoing clinical efforts to optimize treatment pathways for gallbladder and biliary diseases, particularly in the provision of emergency surgical services and efforts to address population risk factors.

Trajectory of medical expenditure and regional disparities in hypertensive patients in South Korea.

The aim of this study is to understand how different regions influence the management and financial burden of hypertension, and to identify regional disparities in hypertension management and medical expenditure. The study utilized data from the Korean Health Panel Survey conducted between 2014 and 2018, focusing on individuals with hypertension. Medical expenditures were classified into three trajectory groups: "Persistent Low," "Expenditure Increasing," and "Persistent High" over a five-year period using trajectory analysis. Inverse Probability Weighting (IPW) analysis was then employed to identify the association between regions and medical expenditure trajectories. The results indicate that individuals residing in metropolitan cities (Busan, Daegu, Incheon, Gwangju, Daejeon, and Ulsan) and rural areas were more likely to belong to the "Expenditure Increasing" group compared to the "Persistent Low Expenditure" group (OR = 1.07; 95% CI; p < 0.001), as opposed to those in the capital city (Seoul) (OR = 1.07; 95% CI; p < 0.001). Additionally, residents of rural areas were more likely to be in the "High Expenditure" group compared to the "Persistent Low Expenditure" group than those residing in the capital city (OR = 1.05; 95% CI; p = 0.001). These findings suggest that individuals in rural areas may be receiving relatively inadequate management for hypertension, leading to higher medical expenditures compared to those in the capital region. These disparities signify health inequality and highlight the need for policy efforts to address regional imbalances in social structures and healthcare resource distribution to ensure equitable chronic disease management across different regions.

Trends in Regional Disparities in Cardiovascular Surgery and Mortality in Korea: A National Cross-sectional Study.

Regional disparities in cardiovascular care in Korea have led to uneven patient outcomes. Despite the growing need for and access to procedures, few studies have linked regional service availability to mortality rates. This study analyzed regional variation in the utilization of major cardiovascular procedures and their associations with short-term mortality to provide better evidence regarding the relationship between healthcare resource distribution and patient survival. A cross-sectional study was conducted using nationwide claims data for patients who underwent coronary artery bypass grafting (CABG), percutaneous coronary intervention (PCI), stent insertion, or aortic aneurysm resection in 2022. Regional variation was assessed by the relevance index (RI). The associations between the regional RI and 30-day mortality were analyzed. The RI was lowest for aortic aneurysm resection (mean, 26.2; standard deviation, 26.1), indicating the most uneven regional distribution among the surgical procedures. Patients undergoing this procedure in regions with higher RIs showed significantly lower 30-day mortality (adjusted odds ratio [aOR], 0.73; 95% confidence interval, 0.55 to 0.96; p=0.026) versus those with lower RIs. This suggests that cardiovascular surgery regional availability, as measured by RI, has an impact on mortality rates for certain complex surgical procedures. The RI was not associated with significant mortality differences for more widely available procedures like CABG (aOR, 0.96), PCI (aOR, 1.00), or stent insertion (aOR, 0.91). Significant regional variation and underutilization of cardiovascular surgery were found, with reduced access linked to worse mortality for complex procedures. Disparities should be addressed through collaboration among hospitals and policy efforts to improve outcomes.

Predictive Model for Medical Assistance

Medical tourism has emerged as a prominent global healthcare phenomenon, driven by various factors such as cost differentials, quality of care, and accessibility. The first aspect of medical tourism is the transnational use of healthcare services, which is frequently driven by financial savings and shortened wait times. Patients from high-income nations frequently go to less expensive locations for elective surgery, while people from low-income nations may look overseas for cutting-edge medical care due to a lack of local healthcare infrastructure. Patients who choose medical tourism locations do so because of the high quality of the care they receive. Patients are enticed to particular locations by accredited healthcare facilities and highly trained medical personnel. However, maintaining uniform quality across many healthcare systems is still difficult. The economic impact on the countries of origin and destination makes up the third aspect of medical tourism. Through higher healthcare sector income, tourism-related activities, and job creation, medical tourism can promote economic growth in destination nations. On the other hand, source nations could experience issues with the distribution of healthcare resources and the "brain drain" of medical specialists. The relevance of ethical considerations in medical travel cannot be overstated. To preserve the credibility of medical tourism, issues relating to informed consent, patient safety, and the equal distribution of healthcare resources must be properly addressed. The COVID-19 pandemic's effects on international travel and healthcare systems are just a few of the aspects that are taken into account in this abstract while discussing the future of medical tourism. It emphasises the necessity of international cooperation to create uniform policies, rules, and moral frameworks that guarantee the safety of patients taking part in medical tourism.

Impact of Healthcare Infrastructure on Maternal Mortality in Nigeria

This study investigates the impact of healthcare infrastructure on maternal mortality in Nigeria, focusing on the quality of care, availability of healthcare facilities, and institutional capacity. We employed a cross-sectional survey design, guided by Donabedian's Quality of Care Framework, and targeted 380 healthcare facilities in Lagos, Kano, and Enugu. Data was collected using structured questionnaires and analyzed using multiple regression analysis. The findings reveal that quality of care (β = .643, p &lt; .001) and availability of healthcare facilities (β = .362, p &lt; .001) significantly influence maternal mortality rates, while institutional capacity (β = .003, p = .882) does not have a significant impact. High-quality care and accessible healthcare facilities are crucial in reducing maternal deaths. Recommendations include continuous professional development for healthcare providers, equitable distribution of healthcare resources, and investments in healthcare infrastructure and governance. This research provides valuable insights for policymakers and healthcare stakeholders aiming to improve maternal health outcomes in Nigeria.

Spatial and social inequality of hierarchical healthcare accessibility in urban system: A case study in Shanghai, China

Urbanization is intensifying in cities, accompanied by burgeoning inequalities, notably in the healthcare sector. Limited research offers a granular examination of healthcare resource accessibility across diverse population groups. In this study, we employ census data from all 6164 communities in Shanghai to investigate the relationship between multi-scalar spatial dimensions and the socio-economic (dis)advantage of populations concerning healthcare resource accessibility. Distinct from previous studies, this research quantifies social inequality by considering the demographics of community residents and their interactions with healthcare facilities. We elucidate the stratified spatial distribution of healthcare accessibility across various spatial scales in Shanghai, leveraging Web Application Programming Interface (API) technology and examine the pervasive social inequalities across sub-district, district, and the central urban-suburban divide, focusing on specific population subgroups including gender, age, education level, wealth, household registration, ethnicity, occupation, and housing living facilities. Findings reveal that disparities in healthcare accessibility correlate with the quality of healthcare facilities, the socio-spatial attributes of localities, and the socio-economic and demographic profiles of the populations. The insights from this research will aid policymakers in enhancing the distribution and provision of healthcare resources, thereby promoting spatial and social equity in public healthcare system planning and implementation.

Spatial distribution and influencing factors of CDC health resources in China: a study based on panel data from 2016-2021.

Measuring the development of Chinese centers for disease control and prevention only by analyzing human resources for health seems incomplete. Moreover, previous studies have focused more on the quantitative changes in healthcare resources and ignored its determinants. Therefore, this study aimed to analyze the allocation of healthcare resources in Chinese centers for disease control and prevention from the perspective of population and spatial distribution, and to further explore the characteristics and influencing factors of the spatial distribution of healthcare resources. Disease control personnel density, disease control and prevention centers density, and health expenditures density were used to represent human, physical, and financial resources for health, respectively. First, health resources were analyzed descriptively. Then, spatial autocorrelation was used to analyze the spatial distribution characteristics of healthcare resources. Finally, we used spatial econometric modeling to explore the influencing factors of healthcare resources. The global Moran index for disease control and prevention centers density decreased from 1.3164 to 0.2662 (p < 0.01), while the global Moran index for disease control personnel density increased from 0.4782 to 0.5067 (p < 0.01), while the global Moran index for health expenditures density was statistically significant only in 2016 (p < 0.1). All three types of healthcare resources showed spatial aggregation. Population density and urbanization have a negative impact on the disease control and prevention centers density. There are direct and indirect effects of disease control personnel density and health expenditures density. Population density and urbanization had significant negative effects on local disease control personnel density. Urbanization has an indirect effect on health expenditures density. There were obvious differences in the spatial distribution of healthcare resources in Chinese centers for disease control and prevention. Social, economic and policy factors can affect healthcare resources. The government should consider the rational allocation of healthcare resources at the macro level.

Mapping of Health Resources in Lower Manya Krobo Municipality in the Eastern Region of Ghana.

Spatial disparities impact population health and are linked to social and health disparities. Understanding the scope, nature, and trends of regional inequalities can help create policies, strategies, and interventions that affect the morbidity and mortality of various disease control. The variations in the distribution of health facilities have resulted in differences in health outcomes within Ghana's administrative districts, of which the Lower Manya Krobo Municipality (LMKM) is no exception. The primary objective of this study was to examine the distribution of healthcare resources in the LMKM in the Eastern Region of Ghana. A single case study approach involving all health resources, facilities, and supporting service centers in the LMKM was adopted. All functional health facilities in the municipality during the study were included. The study partly used records of generated coordinates using the global positioning system of other resources and services. The Municipality had 16 health facilities and 29 supporting centers. There were 285 clinical health workers in the municipality. Odumase and Akuse had higher percentages of clinical health personnel. The municipality's population per single health worker ratio was 13,201:1. Agomanya had the highest number of facilities and support centers. The population per health facility ratio was 15,086 per facility. The study demonstrated disparities in the distribution of health facilities across the municipality. There is a need to ensure that all health resources are allocated to the population size and the health needs of the LMKM.

Factors affecting the place of death in patients with liver cancer in China, 2013–2020: A population-based study

BackgroundDespite the country's substantial liver cancer burden, there is limited research on the factors influencing the place of death (POD) of patients with liver cancer in China. This study aimed to delineate POD distribution among patients with liver cancer, identify the factors associated with hospital deaths, and offer valuable insights for the government to develop healthcare policies. MethodsData from 2013 to 2020 were obtained from the National Mortality Surveillance System (NMSS) of China. This analysis focused on the distribution of POD among individuals who succumbed to liver cancer. Variations in characteristic distributions across different categories were evaluated using a chi-squared test. We also applied a multilevel logistic regression analysis to identify the factors associated with hospital liver cancer deaths. The proportional change in variance was computed to evaluate the contributions of different factors in the model. ResultsFrom 2013 to 2020, the NMSS reported a total of 608,789 liver cancer-related deaths, of which 440,079 (72.29%) died at home, and 158,291 (26.00%) died in the hospital. Home remained the preferred POD among patients with liver cancer. The results demonstrated that female patients, aged between 0 and 14 years, of Han ethnicity, living in urban areas, unmarried, highly educated, and either employed in a professional, staff, or civil servant capacity, or retired patients tended to end their lives in the hospital. ConclusionsIn China, home continues to be the predominant POD for patients with liver cancer, with demographic and socioeconomic factors significantly influencing whether a hospital is their POD. Enhancing healthcare policymakers' understanding of the factors influencing the place of death for patients with liver cancer may assist in creating a more equitable distribution of healthcare resources and providing a variety of choices for minorities with distinct preferences for end-of-life care.

Evaluation of healthcare-related factors influencing mental health of Taiwanese citizens among different age groups

The issue of mental health has gained heightened recognition as a significant public health concern due to its potential to significantly impact various aspects of individuals’ lives. Numerous factors may influence mental health, and this study seeks to investigate and compare potential healthcare-related factors that affect the mental health of Taiwanese individuals across different age groups. Data for this study were taken from the Taiwan Social Change Survey (TSCS), conducted in 2021. Descriptive statistics were calculated to compare the three age groups. Then, multiple regression models were constructed with mental health conditions as the dependent variable and demographics and other key healthcare-related components as independent variables, respectively. Results showed that, among the three age groups, the middle-aged adults had the highest BMI, and the older adults had significantly better mental health. As compared with the other age groups, the older adults had significantly better perceptions of fair distribution of healthcare resources, and their trust in the healthcare system was the highest. With regard to searching for online healthcare information, the frequency reported by the older adults was the lowest. The regression model showed that, religious belief, trust in the healthcare system and searching for online healthcare information were significantly associated with mental health of middle-aged adults. In the younger group, searching for online healthcare information was significantly negatively associated with mental health. The study’s findings provide insight into how to provide Taiwanese citizens of different age groups with proper and targeted mental health promotion activities.

Relationships between long-term exposure to major PM2.5 constituents and outpatient visits and hospitalizations in Guangdong, China

Ambient fine particulate matter (PM2.5) has attracted considerable attention due to its crucial role in the rising global disease burden. Evidence of health risks associated with exposure to PM2.5 and its major constituents is important for advancing hazard assessments and air pollution emission policies. We investigated the relationship between exposure to major constituents of PM2.5 and outpatient visits as well as hospitalizations in Guangdong Province, China, where 127 million residents live in a severe PM2.5 pollution environment. An approach that integrates the generalized weighted quantile sum (gWQS) regression with the difference-in-differences (DID) approach was used to assess the overall mixture effects and relative contributions of each constituent. We observed significant associations between long-term exposure to the mixture of PM2.5 constituents (WQS index) and outpatient visits (IR%, percentage increases in risk per unit WQS index increase:1.73, 95%CI: 1.72, 1.74) as well as hospitalizations (IR%:5.15, 95%CI: 5.11, 5.20). Black carbon (weight: 0.34) and nitrate (weight: 0.60) respectively exhibited the highest contributions to outpatient visits and hospitalizations. The overall mixture effects on outpatient visits and hospitalizations were higher with increased summer air temperatures (IR%: 7.54, 95%CI: 7.33, 7.74 and IR%: 9.55, 95%CI: 8.36, 10.75, respectively) or decreased winter air temperatures (IR%: 1.88, 95%CI: 1.68, 2.08 and IR%: 4.87, 95%CI: 3.73, 6.02, respectively). Furthermore, the overall mixture effects on outpatient visits and hospitalizations were significantly higher in populations with higher socioeconomic status (P < 0.01). It's crucial to address the primary sources of nitrate precursor substances and black carbon (mainly traffic-related and industrial-related air pollutants) and consider the complex interaction effects between air temperature and PM2.5 in the context of climate change. Of particular concern is the need to prioritize healthcare demands in economically disadvantaged regions and to address the health inequalities stemming from the uneven distribution of healthcare resources and PM2.5 pollution.

Healthcare equity in focus: bridging gaps through a spatial analysis of healthcare facilities in Irbid, Jordan

In the Irbid Governorate, Jordan, equitable healthcare facility distribution is vital to ensuring healthcare accessibility and improving public health outcomes. This study investigated the spatial distribution, accessibility, and conformity of healthcare facilities to the Ministry of Health standards to identify areas requiring improvement. Using geographic information systems (GIS), three spatial analyses were conducted: nearest neighbor analysis, buffer analysis, and service area analysis. These analyses comprehensively assessed the healthcare landscape, revealing a random spatial distribution pattern of healthcare facilities; and indicating an absence of structured organization. The buffer analysis revealed concentrations in specific regions, while others were underserved. The Service Area Analysis revealed significant healthcare access challenges, especially in remote areas. The healthcare resource distribution of the Irbid governorate fell short of national and international standards, emphasizing the need for improvements. To address these disparities, policymakers and healthcare authorities should focus on equitably redistributing resources, tailoring allocation to local needs, improving remote area infrastructure, and refining government policies. Continuous monitoring and evaluation are imperative to ensure alignment with international standards and achieve healthcare equity. The insights from this case study provide valuable guidance for regions facing similar healthcare distribution challenges.

Does unequal economic development contribute to the inequitable distribution of healthcare resources? Evidence from China spanning 2001–2020

BackgroundThere is a dearth of research combining geographical big data on medical resource allocation and growth with various statistical data. Given the recent achievements of China in economic development and healthcare, this study takes China as an example to investigate the dynamic geographical distribution patterns of medical resources, utilizing data on healthcare resources from 290 cities in China, as well as economic and population-related data. The study aims to examine the correlation between economic growth and spatial distribution of medical resources, with the ultimate goal of providing evidence for promoting global health equity.MethodsThe data used in this study was sourced from the China City Statistical Yearbook from 2001 to 2020. Two indicators were employed to measure medical resources: the number of doctors per million population and the number of hospital and clinic beds per million population. We employed dynamic convergence model and fixed-effects model to examine the correlation between economic growth and the spatial distribution of medical resources. Ordinary least squares (OLS) were used to estimate the β values of the samples.ResultsThe average GDP for all city samples across all years was 36,019.31 ± 32,029.36, with an average of 2016.31 ± 1104.16 doctors per million people, and an average of 5986.2 ± 6801.67 hospital beds per million people. In the eastern cities, the average GDP for all city samples was 47,672.71 ± 37,850.77, with an average of 2264.58 ± 1288.89 doctors per million people, and an average of 3998.92 ± 1896.49 hospital beds per million people. Cities with initially low medical resources experienced faster growth (all β < 0, P < 0.001). The long-term convergence rate of the geographic distribution of medical resources in China was higher than the short-term convergence rate (|βi + 1| > |βi|, i = 1, 2, 3, …, 9, all β < 0, P < 0.001), and the convergence speed of doctor density exceeded that of bed density (bed: |βi| >doc: |βi|, i = 3, 4, 5, …, 10, P < 0.001). Economic growth significantly affected the convergence speed of medical resources, and this effect was nonlinear (doc: βi < 0, i = 1, 2, 3, …, 9, P < 0.05; bed: βi < 0, i = 1, 2, 3, …, 10, P < 0.01). The heterogeneity between provinces had a notable impact on the convergence of medical resources.ConclusionsThe experiences of China have provided significant insights for nations worldwide. Governments and institutions in all countries worldwide, should actively undertake measures to actively reduce health inequalities. This includes enhancing healthcare standards in impoverished regions, addressing issues of unequal distribution, and emphasizing the examination of social determinants of health within the domain of public health research.

Availability of resources for paediatric hearing care in a South African province.

Unavailability of healthcare resources can lead to poor patient outcomes. The latter is true for infants with hearing loss and require early hearing detection and intervention (EHDI). To determine the availability and distribution of resources for EHDI in state hospitals in the Eastern Cape (EC) province, South Africa. Sixteen state hospitals (nine district, four regional and three tertiary hospitals). Descriptive cross-sectional survey completed between July 2022 and October 2022. Thirteen hospitals had audiologists (n= 4) or speech therapists and audiologists (n= 9). Specific to equipment, 10 hospitals had a screening otoacoustic emissions or automated auditory brainstem response, 8 hospitals had diagnostic middle ear analysers and only 3 hospitals had diagnostic auditory brainstem response and/or auditory steady state response. Twelve hospitals did not have visual response audiometry (VRA) and 94% had no hearing aid verification systems. Budget allocations were uneven, with only 10 hospitals, i.e., 4 districts, all regional and 2 tertiary hospitals being allocated varying amounts. Subsequently, only 50% provided newborn hearing screening, 56% provided diagnostic evaluations and 14 hospitals fitted hearing aids. Results revealed a limited and uneven distribution of resources, which negatively impacted the provision of EHDI. Even distribution of healthcare resources and further research aimed at strengthening hearing health services is recommended as these could potentially improve equitable access to EHDI and the overall quality of healthcare provided.Contribution:This study highlights the need for even distribution of resources and strengthening of health systems, especially in the dawn of the National Health Insurance.