Adopting a total cardiovascular risk approach instead of a single risk factor approach reduces health care expenditure by reducing drug costs. Therefore, limited resources can be more efficiently used to target high-risk people who will benefit the most. This strategy needs to be complemented with population-wide measures to shift the cardiovascular risk distribution of the whole population.

If the absolute risk approach for assessment of risk and effective management of hypertension is to be implemented in low-resource settings, appropriate policy measures need to be taken to improve the competency of health-care providers, to provide basic laboratory facilities and to develop affordable financing mechanisms.

Background The World Health Assembly 2018 approved a resolution on rheumatic heart disease to strengthen programmes in countries where this condition remains a substantial public health problem. We aimed to describe the regional burden, trends, and inequalities of rheumatic heart disease in the Americas. MethodsIn this secondary analysis of the Global Burden of Disease, Injuries, and Risk Factors Study (GBD) 2017, we extracted data for deaths, prevalence of cases, disability-adjusted life-years (DALYs), years lived with disability, and years of life lost (YLL) as measures of rheumatic heart disease burden using the GBD Results Tool. We analysed 1990-2017 trends in rheumatic heart disease mortality and prevalence, quantified cross-country inequalities in rheumatic heart disease mortality, and classified countries according to rheumatic heart disease mortality in 2017 and 1990-2017.Findings GBD 2017 estimated that 3 604 800 cases of rheumatic heart disease occurred overall in the Americas in 2017, with 22 437 deaths. We showed that in 2017 rheumatic heart disease mortality in the Americas was 51% (95% UI 44-59) lower (1•8 deaths per 100 000 population [95% uncertainty interval 1•7-1•9] vs 3•7 deaths per 100 000 population [3•4-3•9]) and prevalence was 30% (29-33) lower (346•4 cases per 100 000 [334•1-359•2] vs 500•6 cases per 100 000 [482•9-519•7]) than the corresponding global estimates. DALYs were half of those globally (55•7 per 100 000 [49•8-63•5] vs 118•7 per 100 000 [108•5 to 130•7]), with a 70% contribution from YLL (39•1 out of 55•7 per 100 000). A significant reduction in rheumatic heart disease mortality occurred, from a regional average of 88•4 YLL per 100 000 (95% uncertainty interval 88•2-88•6) in 1990 to 38•2 (38•1-38•4) in 2017, and a significant reduction in income-related inequality, from an excess of 191•7 YLL per 100 000 (68•6-314•8) between the poorest and richest countries in 1990 to 66•8 YLL per 100 000 (6•4-127•2) in 2017. Of the 37 countries studied, eight (22%) had both the highest level of premature rheumatic heart disease mortality in 2017 and the smallest reduction in this mortality between 1990 and 2017.Interpretation The Americas have greatly reduced premature mortality due to rheumatic heart disease since 1990. These health gains were paired with a substantial reduction in the magnitude of income-related inequalities across countries, which is consistent with overall socioeconomic and health improvements observed in the Region. Countries with less favourable rheumatic heart disease situations should be targeted for strengthening of their national programmes.

BackgroundAcute rheumatic fever (ARF) and rheumatic heart disease (RHD) persist in many low- and middle-income countries. To date, the cost-effectiveness of population-based, combined primary and secondary prevention strategies has not been assessed. In the Pinar del Rio province of Cuba, a comprehensive ARF/RHD control program was undertaken over 1986 – 1996. The present study analyzes the cost-effectiveness of this Cuban program.Methods and FindingsWe developed a decision tree model based on the natural history of ARF/RHD, comparing the costs and effectiveness of the 10-year Cuban program to a “do nothing” approach. Our population of interest was the cohort of children aged 5 – 24 years resident in Pinar del Rio in 1986. We assessed costs and health outcomes over a lifetime horizon, and we took the healthcare system perspective on costs but did not apply a discount rate. We used epidemiologic, clinical, and direct medical cost inputs that were previously collected for publications on the Cuban program. We estimated health gains as disability-adjusted life years (DALYs) averted using standard approaches developed for the Global Burden of Disease studies. Cost-effectiveness acceptability thresholds were defined by one and three times per capita gross domestic product per DALY averted. We also conducted an uncertainty analysis using Monte Carlo simulations and several scenario analyses exploring the impact of alternative assumptions about the program’s effects and costs. We found that, compared to doing nothing, the Cuban program averted 5051 DALYs (1844 per 100,000 school-aged children) and saved $7,848,590 (2010 USD) despite a total program cost of $202,890 over 10 years. In the scenario analyses, the program remained cost saving when a lower level of effectiveness and a reduction in averted years of life lost were assumed. In a worst-case scenario including 20-fold higher costs, the program still had a 100% of being cost-effective and an 85% chance of being cost saving.ConclusionsA 10-year program to control ARF/RHD in Pinar del Rio, Cuba dramatically reduced morbidity and premature mortality in children and young adults and was cost saving. The results of our analysis were robust to higher program costs and more conservative assumptions about the program’s effectiveness. It is possible that the program’s effectiveness resulted from synergies between primary and secondary prevention strategies. The findings of this study have implications for non-communicable disease policymaking in other resource-limited settings.