Cancer medicine · 2023
Essential cancer medicines and cancer outcomes: Cross-sectional study of 124 countries.
СтатьяПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод пока не подготовлен
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Ikpeni Oghenefejiro Theresa, Maraj Darshanand, Woods Hannah, Workentin Aine, Booth Christopher M, Persaud Nav
Аннотация
BACKGROUND: Cancer is the second leading cause of death worldwide. Alongside other interventions, access to certain medicines may decrease cancer-associated mortality. Listing medicines on national essential medicines lists may improve health outcomes. We examine the association between cancer mortality amenable to care and the listing of cancer medicines on national essential medicines lists (NEMLs) of 124 countries.
METHODS: In this cross-sectional study, we determined the number of medicines used to treat eight cancers on NEMLs and used multiple linear regression to analyze the association between cancer health outcome scores and the number of medicines on NEMLs while controlling for GDP. A sensitivity analysis was also conducted using selected medicines.
FINDINGS: The number of cancer medicines on NEMLs was not associated with cancer health outcome scores when GDP was controlled for non-melanoma skin (p = 0.224), uterine (p = 0.221), breast (p = 0.145), Hodgkin's lymphoma (p = 0.697), colon (p = 0.299), leukemia (p = 0.103), cervical (p = 0.834), and testicular cancers (p = 0.178).
INTERPRETATION: There was a weak association between listing medicines for eight cancers in NEMLs and amenable mortality. Further studies are required to explore association between cancer health outcomes and other factors such as actual availability of medicines listed, access to surgeries, accurate diagnosis, radiotherapy, and early detection.
METHODS: In this cross-sectional study, we determined the number of medicines used to treat eight cancers on NEMLs and used multiple linear regression to analyze the association between cancer health outcome scores and the number of medicines on NEMLs while controlling for GDP. A sensitivity analysis was also conducted using selected medicines.
FINDINGS: The number of cancer medicines on NEMLs was not associated with cancer health outcome scores when GDP was controlled for non-melanoma skin (p = 0.224), uterine (p = 0.221), breast (p = 0.145), Hodgkin's lymphoma (p = 0.697), colon (p = 0.299), leukemia (p = 0.103), cervical (p = 0.834), and testicular cancers (p = 0.178).
INTERPRETATION: There was a weak association between listing medicines for eight cancers in NEMLs and amenable mortality. Further studies are required to explore association between cancer health outcomes and other factors such as actual availability of medicines listed, access to surgeries, accurate diagnosis, radiotherapy, and early detection.