Background: The demographical and geographical distributions of health resources are important aspects of healthcare access. Few studies have been published on health resource allocation in TCM hospitals in China despite public equity concerns. Methods: This article uses the Gini coefficient and agglomeration degree to analyze the health resources of TCM hospitals in China according to demographic and geographic configuration conditions in order to study the equity of the health resources of TCM from 2009 to 2018. Results: From 2009 to 2018, all regions of the TCM health resources per ten thousand people and per ten thousand square kilometers showed overall upward trends. The overall equity of the health resource allocations of TCM hospitals in China tended to improve year by year. However, there were still great differences among regions. Generally, the equity of physical resource allocation was better than the equity of human resource allocation. Additionally, the equity of health resources in TCM hospitals allocated by population was better than it was by geographic region. Conclusions: It is necessary to further optimize the structure of TCM resource allocation, and enhance the equity of resource allocation among different regions.

Background: Advances in next-generation sequencing technologies are changing the ways cancer diagnosis and treatment, which leads to a new branch of precision medicine: “Precision Oncology”. This study aims to deliver a structured overview to carry out a bibliometric analysis of precision oncology research over the past 10 years retrospectively. Methods: Bibliometric methods including clustering analysis and co-occurrence visualized study were conducted based on publications of academic databases Web of Science Main Collection from 1st January 2012, to 31st December 2021. This study analyzed the information about related research outputs, countries, institutions, authors, cited papers, and hot topics. Results: 7163 papers related to precision oncology were identified. Since 2014, the number of articles has proliferated, and oncology precision has attracted significant attention from scholars worldwide in recent years. The USA leads the research in this field, and the League of European Research Universities is the primary research institution. Research institutions from Asia paid more attention to this field through high-level international cooperation. Besides, there are still many issues expected to be explored and evaluated correctly. Such as the considerable uncertainty that pharmacogenomic methods have no significant influence on patient outcomes. Conclusions: Precision oncology serves as an essential method in clinical treatment, and is closely related to biological study, including biochemistry, molecular and genetics, advanced technology, and pharmacology discovery. The future research prospect would be the broad involvement of social participation and global cooperation in oncology precision research to acquire better results via the balance of technology and public health policy.

Objective: To understand the current situation of China's health food, and to provide a reference for the development of Healthcare Industry. Methods: Create a database of China's health food information from China Food and Drug Administration website. Conduct a systemic analysis of the regional distribution, annual distribution, dosage forms distribution and functions of health food. Results: Guangdong and Beijing have produced the most health food; the data line of health food quantity has two peaks in 1997 and 2004. From 2013, the number of health food started growing steadily; health food formulations are mainly capsules and tablets; the functions of health food are centered mainly on strengthening the immune system and relieving physical fatigue. Conclusion: Innovation is needed in the formulations and the functions of domestic health food; China’s domestic health food industry should increase investment in science and technology; Overall, China’s health food industry has a bright future.

Objective: To examine the spatiotemporal evolution and equity of traditional Chinese medicine (TCM) service capacity across China from 2012 to 2023 and to provide empirical evidence for improving regional resource allocation. Methods: Using data on TCM services from the China Health Statistical Yearbook (2013–2024 editions), we constructed a panel dataset for 31 provinces in China covering 2012–2023. Six core indicators were included: outpatient and emergency visits to TCM institutions, number of discharged patients, number of TCM medical and health institutions, number of beds, number of TCM practitioners, and number of staff in TCM hospitals. To improve interprovincial comparability, four contextual indicators were additionally incorporated: gross domestic product per capita, year-end resident population, administrative area, and population density. An entropy-weighting method was used to calculate the composite score of TCM service capacity for each province and year. Spatial dependence was assessed using global Moran's I based on an economic-geographic weight matrix and further examined through local hot spot analysis. Overall disparities, intra-regional disparities, inter-regional disparities, and the contribution of transvariation density were evaluated using the Dagum Gini coefficient and its decomposition. Results: From 2012 to 2023, TCM service capacity in China improved steadily. Outpatient and emergency visits, number of discharged patients, number of TCM medical and health institutions, number of beds, number of TCM practitioners, and number of staff in TCM hospitals increased by 105.5%, 99.0%, 135.0%, 145.4%, 114.0%, and 121.2%, respectively. Composite scores rose in all 31 provinces, with Beijing and Shanghai consistently ranking among the top-performing regions, while Sichuan, Chongqing, Guangdong, and Shandong showed particularly marked improvement. Spatial analysis indicated that global Moran's I was positive and statistically significant in every year, ranging from 0.140 to 0.224, suggesting a stable positive spatial autocorrelation in provincial TCM service capacity. Local spatial patterns were characterized by strengthening hot spots in northern China and relatively stable cold spots in the south. The Dagum Gini coefficient showed that overall national disparities declined from 0.2107 in 2012 to 0.1459 in 2023, with a mean value of 0.1767, indicating an overall convergence trend. Intra-regional disparities were relatively higher in the eastern and western regions and lower in the central and northeastern regions. Inter-regional disparities accounted for the largest share of overall inequality, with a mean contribution rate of 42.57%, exceeding that of intra-regional disparities (28.15%) and transvariation density (29.28%). Conclusion: From 2012 to 2023, TCM service capacity improved overall across provinces in China, although interprovincial disparities persisted. Overall inequality showed a converging trend and was accompanied by significant spatial clustering. In terms of the sources of disparity, inter-regional differences remained the primary driver of overall inequality, with particularly pronounced gradients between the eastern region and other parts of the country, whereas within-region disparities were relatively small in the central and northeastern regions. Future efforts should therefore focus not only on continued capacity expansion, but also on strengthening cross-regional coordination, optimizing the targeted allocation of resources, and promoting a more spatially balanced distribution of TCM services to improve equity in service capacity.