Catastrophic health expenditure and its determinants in households with lung cancer patients in China: a retrospective cohort study.

BACKGROUND: Numerous studies have examined catastrophic health expenditures (CHE) worldwide, mostly focusing on general or common chronic populations, rather than particularly vulnerable groups. This study assessed the medical expenditure and compensation of lung cancer, and explored the extent and influencing factors of CHE among households with lung cancer patients in China. METHODS: During 2018-2019, a hospital-based multicenter retrospective survey was conducted in seven provinces/municipalities across China as a part of the Cancer Screening Program of Urban China. CHE was measured according to the proportion of out-of-pocket (OOP) health payments of households on non-food expenditures. Chi-square tests and logistic regression analysis was adjusted to determine the factors that significantly influenced the likelihood of a household with lung cancer patient to incur in CHE. RESULTS: In total, 470 households with lung cancer patients were included in the analysis. Health insurance was shown to protect some households from the impact of CHE. Nonetheless, CHE incidence (78.1%) and intensity (14.02% for average distance and 22.56% for relative distance) were still relatively high among households with lung cancer patients. The incidence was lower in households covered by the Urban Employee Basic Medical Insurance (UEMBI) insurance, with higher income level and shorter disease course. CONCLUSION: More attention is needed for CHE incidence among vulnerable populations in China. Households with lung cancer patients were shown to be more likely to develop CHE. Therefore, policy makers should focus on improving the financial protection and reducing the economic burden of this disease.

A systematic review of the budget impact analyses for antitumor drugs of lung cancer.

BACKGROUND: Budget impact analyses (BIAs) are used for reimbursement decisions and drug access medical insurance, as a supplement to cost-effectiveness analyses (CEAs). OBJECTIVES: We systematically reviewed BIAs for antitumor drugs of lung cancer to provide reference for high-value drug budget impact analyses and decision making. METHODS: We conducted a literature search on PubMed, EMbase, The Cochrane Library, China National Knowledge Infrastructure and Wanfang Data Knowledge Service Platform from 2010 to 2019. The methodological indicators and result information of the budget impact analyses were extracted and evaluated for quality. RESULTS: A total of 14 studies on the budget impact for antitumor drugs of lung cancer were included, and the overall quality was good. Half of studies were from developed countries. Nine of the studies were designed using the BIA cost calculation model, and two were simulated using the Markov model Monte Carlo model. From all studies, only 14.3% reported model validation. The budget impact results of the same drug in different countries were inconsistent. CONCLUSIONS: Included studies evaluating budget impact analyses for anti-tumor drugs of lung cancer showed variability in the methodological framework for BIAs. The budget impact analyses of high-value drugs need to be more stringent to ensure the accuracy of the parameters, and should provide reliable results based on real data to decision-making departments, which should carefully consider access to lung cancer drugs.

Catastrophic Health Expenditure and Its Determinants Among Households With Breast Cancer Patients in China: A Multicentre, Cross-Sectional Survey.

Background: Although numerous studies have examined catastrophic health expenditures (CHE) worldwide, most focus on the general population, not on specific vulnerable groups. We aimed to analyse the extent and the influencing factors of CHE in households with breast cancer patients in China, and explore the ability of different insurances to protect these households from CHE. Methods: A multicentre, cross-sectional interview surveys was conducted in households with breast cancer patients across seven provinces/municipalities in China. CHE were defined as out-of-pocket expenditures ≥ 40% of households' non-food expenditures. Chi-square tests and logistic regression analysis were performed to identify the determinants of CHE in household with breast cancer patients. Results: In the 639 participating households with breast cancer patients, the mean out-of-pocket (OOP) expenditure accounted for ~55.20% of the mean households' non-food expenditures. The overall incidence of CHE was 87.95 and 66.28% before and after insurance compensation, respectively. The logistic regression model revealed that education, disease course, health insurance, treatment method, and income were significant predictors of CHE. Conclusions: The results indicated that medical insurance protects some households with breast cancer patients from the impact of CHE. However, their reimbursement rates were relatively low. Therefore, breast cancer still had a significant catastrophic effect on the economy of households. Policy efforts should focus on improving insurance compensation rates and relieving the economic burden of critical illnesses such as breast cancer.