The economic impact of cancer mortality among working-age individuals in Brazil from 2001 to 2030

• Autor(a) principal: Souza, Dyego Leandro Bezerra de
• Data de Publicação: 2023
• Outros Autores: Cancela, Marianna De Camargo, Santos, Jonas Eduardo Monteiro dos, Souza, Leonardo Borges Lopes de, Martins, Luís Felipe Leite, Barchuk, Anton, Hanly, Paul, Sharp, Linda, Soerjomataram, Isabelle, Pearce, Alison
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Institucional da UFRN
• Texto Completo: https://repositorio.ufrn.br/handle/123456789/54658; https://doi.org/10.1016/j.canep.2023.102438
• topic: productivity loss; human capital approach; cancer mortality; cancer; indirect costs

Background: About half of cancer deaths in Brazil occur among individuals of working-age (under 65 years for men, under 60 for women), resulting in a substantial economic impact for the country. We aimed to estimate the years of potential productive life lost (YPPLL) and value the productivity lost due to premature deaths from cancer between 2001 and 2015 and the projected to 2030. Methods: We used the Human Capital Approach to estimate the productivity losses corresponding to YPPLL for cancer deaths in working age people (15–64 years). Mortality data were obtained from the Mortality Information System from 2001 to 2015 and projected between 2016 and 2030. Economic data were obtained from the Continuous National Household Sample Survey and forecasted to 2030. Productivity lost was calculated as the monetary value arising from YPPLL in Int$(2016). Results: Between 2001 and 2030, a total of 2.3 million premature deaths from all cancers combined were observed and forecasted in Brazil (57% men, 43% women), corresponding to 32 million YPPLL and Int$141.3 billion in productivity losses (men: Int$102.5 billion, women: Int$38.8 billion). Between 2001 and 2030, among men, lung (Int$ 12.6 billion), stomach (Int$ 10.6 billion) and colorectal (Int$ 9.4 billion) cancers were expected to contribute to the greatest productivity losses; and among women, it will be for breast (Int$ 10.0 billion), cervical (Int$ 6.4 billion) and colorectal (Int$ 3.2 billion) cancers. Conclusions: Many preventable cancers result in high lost productivity, suggesting measure to reduce smoking prevalence, alcohol consumption, physical inactivity and inadequate diet, improving screening programs and increasing vaccination coverage for human papillomavirus and hepatitis B would have a positive impact on the economy, as well as reducing morbidity and mortality from cancer