Background: The high fragmentation and decentralization in the provision of health care services that characterizes Argentina’s health system, as well as the economic and social inequalities, challenge the achievement of the Universal Health Coverage (UHC). The objective of this study is to measure socioeconomic-related inequality and horizontal inequity in the use of health care services in Argentina as well as identify the factors that contribute to these disparities.Methods: The 2013 National Risk Factor Survey, developed by the Ministry of Health of Argentina, was used to measure socioeconomic-related inequality and inequity in the use of health care services through concentration curves, the Erreygers concentration index, and the index of horizontal inequity. Econometric micro-decomposition was applied to estimate the contribution of each determining factor to inequality in the use of health care services.Results: The Erreygers concentration index for the use of health care services was 0.1223, evidencing pro-rich inequalities. By adding variables of health care needs, the horizontal inequity index was 0.1296. Non-need factors such as education and health coverage with social security increase pro-rich inequality.Conclusions: The Argentine health system shows pro-rich inequality in the use of health care services. It is necessary to design strategies to improve articulation between the three coverage subsectors and national, provincial, and municipal governments to keep the commitment of “not leaving anyone behind.” The results showed here could provide lessons for countries with similar contexts and challenges in public health.

Background: Informal care is a key element of health care and well-being for society, yet it is scarcely visible and rarely studied in health economic evaluations. This study aims to estimate the time use and cost associated with informal care for cardiovascular diseases, pneumonia and ten different cancers in eight Latin American countries (Argentina, Brazil, Chile, Colombia, Costa Rica, Ecuador, Mexico and Peru). Methods: We carried out an exhaustive literature review on informal caregivers’ time use, focusing on the selected diseases. We developed a survey for professional caregivers and conducted expert interviews to validate this data in the local context. We used an indirect estimate through the interpolation of the available data, for those cases in which we do not found reliable information. We used the proxy good method to estimate the monetary value of the use of time of informal care. National household surveys databases were processed to obtain the average wage per hour of a proxy of informal caregiver. Estimates were expressed in 2020 US dollars. Results: The study estimated approximately 1,900 million hours of informal care annually and $ 4,300 million per year in average informal care time cost for these fifteen diseases and eight countries analyzed. Cardiovascular diseases accounted for an informal care burden that ranged from 374 to 555 h per year, while cancers varied from 512 to 1,825 h per year. The informal care time cost share on GDP varied from 0.26% (Mexico) to 1.38% (Brazil), with an average of 0.82% in the studied American countries. Informal care time cost represents between 16 and 44% of the total economic cost (direct medical and informal care cost) associated with health conditions. Conclusions: The study shows that there is a significant informal care economic burden -frequently overlooked- in different chronic and acute diseases in Latin American countries; and highlights the relevance of including the economic value of informal care in economic evaluations of healthcare.

Objective To investigate the tobacco-attributable burden on disease, medical costs, productivity losses and informal caregiving; and to estimate the health and economic gains that can be achieved if the main tobacco control measures (raising taxes on tobacco, plain packaging, advertising bans and smoke-free environments) are fully implemented in eight countries that encompass 80% of the Latin American population. Design Markov probabilistic microsimulation economic model of the natural history, costs and quality of life associated with the main tobacco-related diseases. Model inputs and data on labour productivity, informal caregivers’ burden and interventions’ effectiveness were obtained through literature review, surveys, civil registrations, vital statistics and hospital databases. Epidemiological and economic data from January to October 2020 were used to populate the model. Findings In these eight countries, smoking is responsible each year for 351 000 deaths, 2.25 million disease events, 12.2 million healthy years of life lost, US$22.8 billion in direct medical costs, US$16.2 billion in lost productivity and US$10.8 billion in caregiver costs. These economic losses represent 1.4% of countries’ aggregated gross domestic products. The full implementation and enforcement of the four strategies: taxes, plain packaging, advertising bans and smoke-free environments would avert 271 000, 78 000, 71 000 and 39 000 deaths, respectively, in the next 10 years, and result in US$63.8, US$12.3, US$11.4 and US$5.7 billions in economic gains, respectively, on top of the benefits being achieved today by the current level of implementation of these measures. Conclusions Smoking represents a substantial burden in Latin America. The full implementation of tobacco control measures could successfully avert deaths and disability, reduce healthcare spending and caregiver and productivity losses, likely resulting in large net economic benefits.

Lung cancer remains a significant global public health challenge and is still one of the leading causes of cancer-related death in Argentina. This study aims to assess the disease and economic burden of lung cancer in the country. Burden of disease study. A mathematical model was developed to estimate the disease burden and direct medical cost attributable to lung cancer. Epidemiological parameters were obtained from local statistics, the Global Cancer Observatory, the Global Burden of Disease databases, and a literature review. Direct medical costs were estimated through micro-costing. Costs were expressed in US dollars (US$), April 2023 (1 US$ = 216.38 Argentine pesos). A second-order Monte Carlo simulation was performed to estimate the uncertainty. Considering approximately 10,000 deaths, 12,000 incident cases, and 14,000 5-year prevalent cases, the economic burden of lung cancer in Argentina in 2023 was estimated to be US$ 556.20 million (396.96-718.20), approximately 1.4% of the total healthcare expenditure for the country. The cost increased with a higher stage of the disease, and the main driver was drug acquisition (80%). A total of 179,046 disability-adjusted life years could be attributable to lung cancer, representing 10% of the total cancer. The disease and economic burden of lung cancer in Argentina implies a high cost for the health system and would represent 19% of the previously estimated economic burden for 29 cancers in Argentina.

Lung cancer (LC) is a leading cause of cancer mortality in Argentina. Low-dose computed tomography (LDCT) had demonstrated higher efficacy than chest radiography as a screening method for early detection and reducing LC mortality. This study estimates the Budget Impact of implementing annual LDCT screening for individuals aged 55-74 with at least 30 pack-years of smoking in Argentina. A budgetary impact model for a dynamic cohort was developed from the Argentine health system's perspective, accounting for LC incidents, prevalents and death probability, distinguishing by disease stage and survival years. Model parameters were sourced from literature and official databases, with costs expressed in 2023 USD. In Argentina, 726,420 individuals were eligible for annual LC screening. The average annual budget was USD 196,611,452 in the current scenario and USD 207,439,560 in the projected scenario, leading to a 5.20% incremental cost due to more false positives in LDCT and screening costs. The budget impact per member per month was USD 0.019, slightly above the estimated threshold of USD 0.015. The introduction of LDCT for LC screening increased the health system budget in Argentina but improved early disease detection.

Sugar-sweetened beverages (SSBs) are a major source of added sugar and are associated with noncommunicable diseases (NCDs) such as obesity and diabetes. This study assessed the impact of SSBs consumption on disease burden in Brazil, including deaths, disability-adjusted life years (DALYs), and healthcare costs. A 3-stage methodology was used to assess the direct effects of SSBs on diabetes, cardiovascular diseases, and body mass index (BMI), along with the influence of BMI on disease incidence. These assessments were then used to estimate the economic and health burden using population-attributable factors. Results showed that 2.7% and 11% of adult and children overweight/obesity cases were attributable to SSBs, respectively. SSBs consumption in Brazil led to 1,814,486 cases, 12,942 deaths, 362,088 DALYs, and USD 2,915.91 million in medical costs related to diabetes, cardiovascular diseases, oncological diseases, and other NCDs. Urgent implementation of public policies is crucial to address the consumption of SSBs, recognized as a key risk factor for NCDs.