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This study delves into the global evolution of 43 Sustainable Development Goals (SDG) indicators, spanning 7 major health themes across 185 countries to evaluate the potential progress loss due to the COVID-19 pandemic. Both the cross-country and temporal variability of the dataset are employed to estimate an empirical model based on an extended version of the Preston curve, which links well-being to income levels and other key socioeconomic health determinants. The approach reveals significant global evolution trends operating in each SDG indicator assessed. We extrapolate the model yearly between 2020 and 2030 using the IMF’s pre-COVID-19 economic growth projections to show how each country in the dataset are expected to evolve in these health topics throughout the decade, assuming no other external shocks. The results of this baseline scenario are contrasted with a post-COVID-19 scenario, where most of the pandemic costs were already known. The study reveals that economic growth losses are, on average, estimated as 42% and 28% for low- and lower middle-income countries, and of 15% and 7% in high- and upper middle-income countries, respectively, according to the IMF’s projections. These disproportional figures are shown to exacerbate global health inequalities revealed by the curves. The expected progress loss in infectious diseases in low-income countries, for instance, is an average of 34%, against a mean of 6% in high-income countries. The theme of Infectious diseases is followed by injuries and violence; maternal and reproductive health; health systems coverage; and neonatal and infant health as those with worse performance. Low-income countries can expect an average progress loss of 16% across all health indicators assessed, whereas in high-income countries the estimated loss is as low as 3%. The disparity across countries is even more pronounced, with cases where the estimated progress loss is as high as nine times worse than the average loss of 8%. Conversely, countries with greater fiscal capacity are likely to fare much better under the circumstances, despite their worse death count, in many cases. Overall, these findings support the critical importance of integrating the fight against inequalities into the global development agendas.

Abstract The objective of this study was to identify indicators of social inequalities associated with mortality from neoplasms in the Brazilian adult population. A scoping review method was used, establishing the guiding question: What is the effect of social inequalities on mortality from neoplasms in the Brazilian adult population? A total of 567 papers were identified, 22 of which were considered eligible. A variety of indicators were identified, such as the Human Development Index and the Gini Index, which primarily assessed differences in income, schooling, human development and vulnerability. A single pattern of association between the indicators and the different neoplasms was not established, nor was a single indicator capable of explaining the effect of social inequality at all levels of territorial area and by deaths from all types of neoplasms identified. It is known that mortality is influenced by social inequalities and that the study of indicators provides an opportunity to define which best explains deaths. This review highlights important gaps regarding the use of non-modifiable social indicators, analysis of small geographical areas, and limited use of multidimensional indicators. Resumo O objetivo deste estudo foi identificar indicadores de desigualdades sociais associados à mortalidade por neoplasias na população adulta brasileira. Utilizou-se como método a revisão de escopo, estabelecendo-se a pergunta norteadora: qual o efeito das desigualdades sociais na mortalidade por neoplasias na população adulta brasileira? Foram identificados 567 trabalhos, sendo 22 considerados elegíveis. Identificou-se uma diversidade de indicadores, como o Índice de Desenvolvimento Humano e o Índice de Gini, entre outros, que avaliaram primordialmente diferenças de renda, escolarização, desenvolvimento humano e vulnerabilidade. Não foi estabelecido um único padrão de associação entre os indicadores e as diferentes neoplasias, assim como não se identificou um indicador único capaz de explicar o efeito da desigualdade social em todos os níveis de área e por óbitos por todos os tipos de neoplasias, mas identificou-se que a mortalidade é influenciada pelas desigualdades sociais e que o estudo dos indicadores proporciona definir qual melhor explica os óbitos. Essa revisão destaca importantes lacunas referentes ao uso de indicadores sociais não modificáveis, à análise de pequenas áreas e ao uso limitado de indicadores multidimensionais.

Background Litigation for health care, also known as health judicialization, is frequent in Brazil. It involves recourse to the court system to access health services. The study aimed to evaluate whether cancer patients in Belo Horizonte, Minas Gerais, Brazil, increased their overall survival by increasing access to certain drugs or treatments through litigation, controlling for the effect of demographic and disease-related variables. Methods A retrospective cohort study was conducted. Patients with breast, prostate, brain, lung, or colon cancers from 2014 to 2019 were included. Survival analysis was performed using the Cox proportional hazards model. Results In the multivariate analysis, litigation was significantly associated with increased survival in cancers of breast (HR = 0.51, 95%CI 0.33–0.80), prostate (HR = 0.50, 95%CI 0.30–0.85), colon (HR = 0.59, 95%CI 0.38–0.93), and lung (HR = 0.36, 95%CI 0.22–0.60). Five-year survival rates of patients who sued for treatment were 97.8%, 88.7%, 59.3%, and 26.0%, compared to median survival of 95.7%, 78.7%, 41.2%, and 2.4%, respectively, among patient that did not resort to court action. The study suggests that litigation for access to cancer treatment may represent a step forward in obtaining more effective treatment. This study´s main limitations are the lack of patients´ clinical information for use as control variables and the lack of variables to assess patients´ quality of life. The study also found that many cases involved claims that could have been solved by administrative rather than legal action. Some claims thus reflect the lack of adequate administrative procedures. Conclusion When based on scientific evidence, access to new therapies, combined with other technologies already available, can favor patient survival. Access to new therapies through litigation may increase health inequalities since low-income patients have limited access to legal recourse against the State to meet their needs. The timely approval of new effective therapies can mitigate the judicialization of cancer treatment.

In the recent decades, Brazil has outperformed comparable countries in its progress toward meeting the Millennium Development Goals. Many of these improvements have been driven by investments in health and social policies. In this article, we aim to identify potential impacts of austerity policies in Brazil on the chances of achieving the sustainable development goals (SDGs) and its consequences for population health. Austerity’s anticipated impacts are assessed by analysing the change in federal spending on different budget programmes from 2014 to 2017. We collected budget data made publicly available by the Senate. Among the selected 19 programmes, only 4 had their committed budgets increased, in real terms, between 2014 and 2017. The total amount of extra money committed to these four programmes in 2017, above that committed in 2014, was small (BR$9.7 billion). Of the 15 programmes that had budget cuts in the period from 2014 to 2017, the total decrease amounted to BR$60.2 billion (US$15.3 billion). In addition to the overall large budget reduction, it is noteworthy that the largest proportional reductions were in programmes targeted at more vulnerable populations. In conclusion, it seems clear that the current austerity policies in Brazil will probably damage the population’s health and increase inequities, and that the possibility of meeting SDG targets is lower in 2018 than it was in 2015.

Resumo O objetivo deste estudo foi identificar indicadores de desigualdades sociais associados à mortalidade por neoplasias na população adulta brasileira. Utilizou-se como método a revisão de escopo, estabelecendo-se a pergunta norteadora: qual o efeito das desigualdades sociais na mortalidade por neoplasias na população adulta brasileira? Foram identificados 567 trabalhos, sendo 22 considerados elegíveis. Identificou-se uma diversidade de indicadores, como o Índice de Desenvolvimento Humano e o Índice de Gini, entre outros, que avaliaram primordialmente diferenças de renda, escolarização, desenvolvimento humano e vulnerabilidade. Não foi estabelecido um único padrão de associação entre os indicadores e as diferentes neoplasias, assim como não se identificou um indicador único capaz de explicar o efeito da desigualdade social em todos os níveis de área e por óbitos por todos os tipos de neoplasias, mas identificou-se que a mortalidade é influenciada pelas desigualdades sociais e que o estudo dos indicadores proporciona definir qual melhor explica os óbitos. Essa revisão destaca importantes lacunas referentes ao uso de indicadores sociais não modificáveis, à análise de pequenas áreas e ao uso limitado de indicadores multidimensionais. Abstract The objective of this study was to identify indicators of social inequalities associated with mortality from neoplasms in the Brazilian adult population. A scoping review method was used, establishing the guiding question: What is the effect of social inequalities on mortality from neoplasms in the Brazilian adult population? A total of 567 papers were identified, 22 of which were considered eligible. A variety of indicators were identified, such as the Human Development Index and the Gini Index, which primarily assessed differences in income, schooling, human development and vulnerability. A single pattern of association between the indicators and the different neoplasms was not established, nor was a single indicator capable of explaining the effect of social inequality at all levels of territorial area and by deaths from all types of neoplasms identified. It is known that mortality is influenced by social inequalities and that the study of indicators provides an opportunity to define which best explains deaths. This review highlights important gaps regarding the use of non-modifiable social indicators, analysis of small geographical areas, and limited use of multidimensional indicators.

Sistemas de saúde plurais enfrentam de forma recorrente o desafio de coordenar múltiplos setores e níveis de governo na busca do interesse público. Investigamos como esse desafio foi enfrentado pelo sus durante a pandemia de Covid-19. Identificamos o protagonismo dos atores subnacionais, a cooperação entre setores e a saúde digital como inovações que potencializaram essa coordenação. Discutimos sua emergência, as possibilidades que oferecem para o aperfeiçoamento do sus e como sustentá-las.

The objective of this study was to identify indicators of social inequalities associated with mortality from neoplasms in the Brazilian adult population. A scoping review method was used, establishing the guiding question: What is the effect of social inequalities on mortality from neoplasms in the Brazilian adult population? A total of 567 papers were identified, 22 of which were considered eligible. A variety of indicators were identified, such as the Human Development Index and the Gini Index, which primarily assessed differences in income, schooling, human development and vulnerability. A single pattern of association between the indicators and the different neoplasms was not established, nor was a single indicator capable of explaining the effect of social inequality at all levels of territorial area and by deaths from all types of neoplasms identified. It is known that mortality is influenced by social inequalities and that the study of indicators provides an opportunity to define which best explains deaths. This review highlights important gaps regarding the use of non-modifiable social indicators, analysis of small geographical areas, and limited use of multidimensional indicators.

In the past 15 years, Brazil has undergone notable social and public health changes, including a large reduction in child mortality. The Bolsa Familia Programme (BFP) is a widespread conditional cash transfer programme, launched in 2003, which transfers cash to poor households (maximum income US$70 per person a month) when they comply with conditions related to health and education. Transfers range from $18 to $175 per month, depending on the income and composition of the family. We aimed to assess the effect of the BFP on deaths of children younger than 5 years (under-5), overall and resulting from specific causes associated with poverty: malnutrition, diarrhoea, and lower respiratory infections. The study had a mixed ecological design. It covered the period from 2004–09 and included 2853 (of 5565) municipalities with death and livebirth statistics of adequate quality. We used government sources to calculate all-cause under-5 mortality rates and under-5 mortality rates for selected causes. BFP coverage was classified as low (0·0–17·1%), intermediate (17·2–32·0%), high (>32·0%), or consolidated (>32·0% and target population coverage ≥100% for at least 4 years). We did multivariable regression analyses of panel data with fixed-effects negative binomial models, adjusted for relevant social and economic covariates, and for the effect of the largest primary health-care scheme in the country (Family Health Programme). Under-5 mortality rate, overall and resulting from poverty-related causes, decreased as BFP coverage increased. The rate ratios (RR) for the effect of the BFP on overall under-5 mortality rate were 0·94 (95% CI 0·92–0·96) for intermediate coverage, 0·88 (0·85–0·91) for high coverage, and 0·83 (0·79–0·88) for consolidated coverage. The effect of consolidated BFP coverage was highest on under-5 mortality resulting from malnutrition (RR 0·35; 95% CI 0·24–0·50) and diarrhoea (0·47; 0·37–0·61). A conditional cash transfer programme can greatly contribute to a decrease in childhood mortality overall, and in particular for deaths attributable to poverty-related causes such as malnutrition and diarrhoea, in a large middle-income country such as Brazil. National Institutes of Science and Technology Programme, Ministry of Science and Technology, and Council for Scientific and Technological Development Programme (CNPq), Brazil.