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1.
Thorac Cancer ; 12(11): 1656-1661, 2021 06.
Article in English | MEDLINE | ID: mdl-33829674

ABSTRACT

BACKGROUND: Lung cancer stage has a significant impact on prognosis, and early detection of lung cancer relies on screenings. Despite the strong relationship between screening and lung cancer staging, the role of healthcare expenditure in lung cancer outcomes remains unknown. The aim of this study was to evaluate the relationship between economic status and clinical outcomes in lung cancer. METHODS: Data were obtained from GLOBOCAN and the World Health Organization. Mortality-to-incidence ratios (MIRs) and their change over time, calculated as the difference between the MIRs of 2012 and 2018 (δMIR), were used to evaluate their correlation to expenditures on healthcare and human development index (HDI) disparities via Spearman's rank correlation coefficient. RESULTS: Regions such as North America have relatively high crude incidence rates but low MIR values. Furthermore, countries with lower crude incidence rates spent less on healthcare. The results show significant negative associations between HDI, current health expenditure (CHE) per capita, CHE as a percentage of gross domestic product (CHE/GDP), and MIR. As for MIR and δMIR, countries with favorable MIRs also showed improving MIRs based on δMIR. CONCLUSIONS: HDI, CHE per capita, CHE/GDP, and development status play noticeable roles in the prognosis of lung cancer, leading to large disparities in clinical outcomes.


Subject(s)
Health Expenditures/trends , Healthcare Disparities/trends , Lung Neoplasms/epidemiology , Humans , Incidence , Lung Neoplasms/mortality , Survival Analysis
2.
Article in English | MEDLINE | ID: mdl-30562951

ABSTRACT

The mortality-to-incidence ratio (MIR) is associated with the clinical outcome of cancer treatment. For several cancers, countries with relatively good health care systems have favorable MIRs. However, the association between lung cancer MIR and health care expenditures or rankings has not been evaluated. We used linear regression to analyze the correlation between lung cancer MIRs and the total expenditures on health/gross domestic product (e/GDP) and the World Health Organization (WHO) rankings. We included 57 countries, for which data of adequate quality were available, and we found high rates of incidence and mortality but low MIRs in more developed regions. Among the continents, North America had the highest rates of incidence and mortality, whereas the highest MIRs were in Africa, Asia, Latin America, and the Caribbean. Globally, favorable MIRs correlated with high e/GDP and good WHO ranking (regression coefficient, -0.014 and 0.001; p = 0.004, and p = 0.014, respectively). In conclusion, the MIR for lung cancer in different countries varies with the expenditure on health care and health system rankings.


Subject(s)
Global Health/statistics & numerical data , Gross Domestic Product/statistics & numerical data , Health Expenditures/statistics & numerical data , Healthcare Disparities/statistics & numerical data , Lung Neoplasms/epidemiology , Humans , Incidence , Linear Models , Lung Neoplasms/mortality , World Health Organization
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