Long-term exposure to particulate matter 2.5 μm (PM_2.5) air pollution is associated with an increased risk of lung cancer. However, the evidence is limited in low-income and middle-income countries. We estimated the association between the incidence of lung cancer and PM_2.5air pollution exposure in the Urban Employee Basic Medical Insurance (UEBMI) beneficiaries in China. A total of 16 483 new lung cancer cases diagnosed from 12 966 137 UEBMI beneficiaries from 36 cities between 2013 and 2016. The relative risk for lung cancer associated with a 10 µg/m³increase in 3-year PM_2.5exposure was 1.12 (95% CI 1.00 to 1.26). The population attributable risk estimated for a reduction in PM_2.5concentration to 35 µg/m³corresponded to a decrease of 14% in cases of lung cancer. Reducing PM_2.5air pollution has a significant public health benefit.

Background: It is evident that comorbidity exacerbate the complexity of the management of lung cancer, however, limited research has been conducted to investigate the impact of comorbidity on health service utilization and cost, as well as the treatment choice among lung cancer patients. We examined the association of comorbidity with medical service utilization, cost and treatment choice among lung cancer patients in China. Methods: We used claims data from China Urban Employees’ Basic Medical Insurance (UEBMI) and Urban Residents’ Basic Medical Insurance (URBMI) between 2013 to 2016 and data from Hospital Information System (HIS) Database in Beijing Cancer Hospital (BCH). Elixhauser Comorbidity Index was used to assess comorbidity. Negative binomial regression, generalized linear model (GLM) with a gamma distribution and a log link, and logistic regression was applied to assess the associations between comorbidity and medical service utilization, cost and treatment choice, respectively. Results: Among 8655 patients with lung cancer, 31.3% of had at least one comorbid conditions. Having comorbidity was associated with increased number of annual outpatient visits (1.6, 95%CI: 1.3, 1.9) and inpatients admissions (0.8, 95%CI, 0.70, 0.90), increased outpatient (USD635.5, 95%CI: 490.3, 780.8) and inpatient expenditure (USD2 470.3, 95CI%: 1998.6, 2941.9), as well as increased possibility of choosing radio therapy (OR: 1.208, 95%CI:1.012–1.441) and chemotherapy (1.363, 1.196–1.554), and decreased possibility of choosing surgery (0.850, 0.730–0.989). The medical utilization and expenditure, the possibility of choosing radiotherapy increases, and the possibility of choosing surgery decreases with the increasing number of chronic conditions. There are variations in the association with medical service utilization and expenditure, and treatment choice among individuals with different types of comorbid conditions. Conclusion: Comorbidity among lung cancer patients restricts the potential treatment choices and poses an extra substantial health care burden. Our findings provide implications for both the clinical management and health service planning and financing for lung cancer patients.

Background: Evidence‐based policy making for delivering affordable lung cancer care relies on the breadth, depth and quality of knowledge of its treatment costs. This study estimates the annual prevalence, medical service utilization and direct treatment costs of lung cancer in urban China.Materials and Methods: Using claim data from China's urban basic medical insurance between 2013 and 2016, we constructed a nationally representative sample of lung cancer patients in urban China. Weighted descriptive analyses, Poisson regressions and generalized linear modelling were used to analyse lung cancer medical service utilization and costs and their associations with patient characteristics.Results: In urban China, the annual prevalence of lung cancer was 87.65/100000, with nearly 0.65% of total health expenditures of urban residents spent on lung cancer treatments. Weighted average annual total medical costs of lung cancer was RMB33.78 (US$5.36) thousand, with annual out‐of‐pocket costs of RMB10.26 (US$1.63) thousand. The average yearly number of lung cancer‐related outpatient visits was 2.42 and inpatient admissions was 2.07, with an average cost of RMB0.75 (US$0.12) thousand for outpatients and RMB 15.67 (US$2.49) thousand for inpatients. Inpatient expenses were the major component (95%) of lung cancer medical costs, with roughly 67% of inpatient services occurring in high‐level tertiary hospitals. Medical care utilization and direct medical costs were associated with sex, age and insurance status. Western medicine costs were the major contributor (39.4%) to average lung cancer‐related medical costs.Conclusion: Lung cancer imposed a significant economic burden on China's health system and a financial cost on lung cancer sufferers and their families. Specific policies are required to efficiently allocate health resources, contain health expenditure and decrease the individual financial burden of lung cancer.

Background: Comorbidity has been established as one of the important predictors of poor prognosis in lung cancer. In this study, we analyzed the prevalence of main comorbidities and its association with hospital readmission and fatality for lung cancer patients in China. Methods: The analyses are based on China Urban Employees’ Basic Medical insurance (UEBMI) and Urban Residents’ Basic Medical Insurance (URBMI) claims database and Hospital Information System (HIS) Database in the Beijing University Cancer Hospital in 2013–2016. We use Elixhauser Comorbidity Index to identify main types of comorbidities. Results: Among 10,175 lung cancer patients, 32.2% had at least one comorbid condition, and the proportion of patients with one, two, and three or more comorbidities was 21.7, 8.3 and 2.2%, respectively. The most prevalent comorbidities identified were other malignancy (7.5%), hypertension (5.4%), pulmonary disease (3.7%), diabetes mellitus (2.5%), cardiovascular disease (2.4%) and liver disease (2.3%). The predicted probability of having comorbidity and the predicted number of comorbidities was higher for middle elderly age groups, and then decreased among patients older than 85 years. Comorbidity was positively associated with increased risk of 31-days readmission and in-hospital death. Conclusion: Our study is the first to provide an overview of comorbidity among lung cancer patients in China, underlines the necessity of incorporating comorbidity in the design of screening, treatment and management of lung cancer patients in China.

Background: Stroke is a major cause of death and disability worldwide. Over the years, traditional medicines for stroke treatment have undergone tremendous progress, but few bibliometric studies have been performed. This study explored the trends and issues relating to the application of traditional medicine in stroke research. Methods: A bibliometric search was performed in the Web of Science Core Collection database to identify studies that investigated the application of traditional medicine in stroke management. CiteSpace VI and Excel 2016 were used to analyze information from the retrieved studies. Activity index and attractive index were used to explore the worldwide development modes. Results: A total of 1083 English articles published between 2004 and 2018 were identified. Over the last 15 years, the developments in research occurred in three geographic clusters. The development modes were investigated and classified into 4 categories. In mainland China, the number and impact of research showed an increasing trend over the study period. The United States played a leading role in this topic. Three clusters of institutes and the majority of authors mainly came from South Korea, Taiwan and mainland China. Reperfusion injury and angiogenesis were identified as the potential topics likely to dominate future research in this field. Conclusion: The progress of studies on traditional medicine for stroke could be explained by the global attention to traditional medicine, the geospatial proximity for research collabration, and the increasing resources invested. Based on a large amount of existing research, researchers engaged in this topic should objectively consider the influential studies to identify and solve the common issues worldwide.

Background: Understanding the treatment costs of stroke can guide health policies and interventions. However, few studies have analyzed the treatment costs of stroke in China. The aim of this study is to assess stroke-related medical service utilization, direct costs of stroke and associated stroke predictors, and, second, to understand the structure of medical resource use. Methods: This study used a 5% random sample of claim data from China’s Urban Basic Medical Insurance between January 2013 to December 2016. The sampling design assigned a sample weight to each beneficiary. Weighted descriptive analyses, Poisson regression and generalized linear model were used to analyze the medical service utilization, costs and their associations with patient characteristics. Results: In urban China, the annual prevalence of stroke was 730.43 (95% CI = 730.10-730.76) cases per 100 000 people, and nearly 2% of total health expenditures of urban residents was spent on stroke-related medical costs. Weighted average annual total medical cost of stroke was RMB10 637 [95% CI = 10 435-10 840] (US$1682, 95% CI = 1650-1714), with annual out-of-pocket (OOP) cost of RMB3093 [95% CI = 3026-3161] (US$489, 95% CI = 478-500). The average yearly number of stroke-related outpatient visit was 1.67 [SD = 3.39] and inpatient admission was 0.79 [SD = 0.83], with an average cost of RMB440 [SD = 739] (US$70, SD = 117) for outpatients and RMB12 702 [SD = 21 424] (US$2008, SD = 3387) for inpatients. Inpatient costs accounted for 94% (RMB10 034 or US$ 1586) of medical costs, and tertiary hospitals were the main provider of stroke care. Stroke-related medical care utilization and direct costs were associated with gender, age, pathological stroke types and insurance status. Medication costs contributed to 50.6% (RMB5382 or US$ 851) of the average stroke-related medical costs. Conclusion: China’s health system bares a large economic burden from stroke. Specific policies are needed to strengthen the capacity of secondary hospitals, alter the structure of medical resource allocation, and target specific sections of the stroke population.