Inflation, Economic Policy Changes, and Access to Essential Drugs by Retirees in Argentina.

This cross-sectional study investigates whether there are associations between inflation, economic policy changes, and retirees' access to medicines in Argentina.

Final assessment of the COVID-19 pandemic impact between the different social and economic strata population of the city of Buenos Aires.

Background: During the pandemic, epidemiological communications reported an estimation of excess deaths. However, the final calculation requires a detailed analysis. The study aim was to ascertain the number and distribution of COVID-19 fatalities among various socio-economic strata in a large, moderate to low-income city. Study design: Observational time series analysis in a large city, treated as a natural experiment. Methods: Analysis of death certificates, demographic data, and health system records of positive RT-PCR COVID-19 tests from 2015 to 2021, categorizing by age, sex, and place of residence. The study measured the pandemic's impact on mortality, including COVID and non-COVID deaths, using corrected Poisson regression models for different demographics and assessing socio-economic status impact via ecological community-level analysis. Results: Compared to the pre-pandemic period (2015-2019, IRR = 1.00), the sex- and age-adjusted rate of all-cause death increased significantly during the pandemic (2020-2021) IRR = 1.109 [1.054-1.167], p < 0.0001. This was observed in both males (IRR = 1.158 [1.1-1.219], p < 0.0001) and females (IRR = 1.068 [1.016-1.124], p = 0.01). There was no observed effect of the pandemic on the historical trend in the progressive reduction of mortality in people under 35 years of age. The increase in deaths was at the expense of COVID (+11,175 deaths) and cardiovascular causes (IRR = 1.114 [1.020-1.217] p = 0.017). During the pandemic, there was a significant increase in deaths at home (IRR = 1.219 [1197-1.242], p < 0.0001), especially in people dying of cardiovascular causes (IRR = 1.391 [1.360-1.422], p < 0.0001). The increase in the adjusted mortality rate during the pandemic was socially conditioned. Conclusions: The pandemic not only led to increased COVID-19 mortality but also heightened fatalities from non-COVID causes, reflecting a potential bias in healthcare resource allocation towards SARS-CoV-2 at the expense of chronic pathologies care.

COVID-19 among the inhabitants of the slums in the city of Buenos Aires: a population-based study.

OBJECTIVE: To summarise the unfolding of the COVID-19 epidemic among slum dwellers and different social strata in the city of Buenos Aires during the first 20 weeks after the first reported case. DESIGN: Observational study using a time-series analysis. Natural experiment in a big city. SETTING: Population of the city of Buenos Aires and the integrated health reporting system records of positive RT-PCR for COVID-19 tests. PARTICIPANTS: Records from the Argentine Integrated Health Reporting System for all persons with suspected and RT-PCR-confirmed diagnosis of COVID-19 between 31 January and 14 July 2020. OUTCOMES: To estimate the effects of living in a slum on the standardised incidence rate of COVID-19, corrected Poisson regression models were used. Additionally, the impact of socioeconomic status was performed using an ecological analysis at the community level. RESULTS: A total of 114 052 people were tested for symptoms related with COVID-19. Of these, 39 039 (34.2%) were RT-PCR positive. The incidence rates for COVID-19 towards the end of the 20th week were 160 (155 to 165) per 100 000 people among the inhabitants who did not reside in the slums (n=2 841 997) and 708 (674 to 642) among slums dwellers (n=233 749). Compared with the better-off socioeconomic quintile (1.00), there was a linear gradient on incidence rates: 1.36 (1.25 to 1.46), 1.61 (1.49 to 1.74), 1.86 (1.72 to 2.01), 2.94 (2.74 to 3.16) from Q2 to Q5, respectively. Slum dwellers were associated with an incidence rate of 14.3 (13.4 to 15.4). CONCLUSIONS: The distribution of the epidemic is socially conditioned. Slum dwellers are at a much higher risk than the rest of the community. Slum dwellers should not be considered just another risk category but an entirely different reality that requires policies tailored to their needs.

An analysis of death trends in Argentina, 1990-2017, with emphasis on the effects of economic crises.

BACKGROUND: Economic crises have heterogeneous effects on population-level mortality between high- and low- or middle-income countries. Argentina - a middle income country- has suffered economic crises repeatedly over the past 30 years and is a model case study for the effects of economic crises on mortality. METHODS: Over 28 years (1990-2017), all death records in Argentina were analysed at the most disaggregated level possible (departments, that is, second-level administrative divisions). Age-and-sex-standardized all-cause mortality, premature death (<75 years) and the probability of death at different ages for both the entire population and each socio-economic quintile were calculated by level of unsatisfied basic needs (UBNs). Standardized rates are reported as biannual average and 95% confidence interval. RESULTS: Considered globally since the beginning of the series and using the 1990-1 biennium as a reference category, the standardized death rate was significantly reduced from biennium 2 (1992-3) to biennium 14 (2016-7), interrupted by two statistically significant increases in mortality, in years 2002-3 and 2016-7. In 2002-3, women had greater increase in mortality than men, and in 2016-7, even more so. The probability of dying before 75 years of age increased significantly in the last biennium, mostly among people between 50 and 74 years in the most deprived quintiles. CONCLUSIONS: Despite significant overall improvement over time, economic crises impose severe increases in mortality, especially among vulnerable groups such as the poor, the elderly, and women.

Inequidad social, lugar de residencia y muerte prematura por cualquier causa en la Argentina / Social Inequity, Place of Residence and All-Cause Premature Death in Argentina

Introducción: Aunque recientemente se reportó la relación entre la muerte prematura y la condición socioeconómica en la Argentina, no existen análisis sobre el impacto que dicha condición tiene en distintas regiones del país. Objetivo: Describir el impacto que la condición socioeconómica presentó sobre la incidencia de muerte prematura en las distintas provincias de la Argentina durante el período 2000-2010. Material y métodos: Se utilizó un modelo ecológico, que evaluó las tasas estandarizadas de muerte prematura (≤ 74 años) durante el período 2000-2010. Asimismo, se examinó la relación entre la condición socioeconómica medida en deciles de necesidades básicas insatisfechas por departamento geográfico y la muerte prematura. La unidad de análisis fueron los 512 departamentos de la Argentina y las 15 comunas de la ciudad de Buenos Aires. Resultados: La condición socioeconómica estuvo significativamente asociada con la muerte prematura en la Argentina durante el período analizado. En todas las provincias y regiones se observó un gradiente lineal entre la muerte precoz y la condición socioeconómica. Sin embargo, la pendiente de desigualdad entre los componentes de la condición socioeconómica varió significativamente entre los distintos departamentos. Mientras que en toda la Argentina la diferencia absoluta en la tasa estandarizada de muerte prematura entre los componentes extremos de condición socioeconómica fue de 10 muertes (rango: 7,81-12,36) por cada 10.000 personas por año, en la ciudad de Buenos Aires esa diferencia fue de 61 muertes (rango: 53-69). Las comunas del sur de la ciudad de Buenos Aires fueron las zonas con mayor desigualdad social y sanitaria de la Argentina. Conclusiones: Aunque la inequidad social tuvo un impacto significativo en la muerte prematura en todo el período en toda la Argentina, la ciudad de Buenos Aires se mostró como la región más desigual.

Background: Although the relationship between premature death and socioeconomic status has been recently reported in Argentina, there are no analyses on the impact of this condition in different regions of the country. Objective: The aim of this study was to describe the influence of socioeconomic status on the incidence of premature death rate in different provinces of Argentina, from 2000 to 2010. Methods: An ecological model was used to evaluate standardized premature death rates (≤74 years) during the period between 2000 and 2010. In addition, the relationship between socioeconomic status, measured in deciles of unmet basic needs at geo-graphic departmental level and premature death was examined. The units of analysis were the 512 Argentine departments and the 15 communes of the city of Buenos Aires. Results: Socioeconomic status was significantly associated with premature death rate in Argentina during the study period. A linear gradient was observed between premature death and socioeconomic status in all provinces and regions. However, the slope index of inequality varied significantly between departments. While the absolute difference in standardized premature death rate between the extreme components of socioeconomic status was 10 deaths (range: 7.81-12.36) per 10,000 persons pers year in all Argentina, in the city of Buenos Aires this difference was 61 deaths (range: 53-69). The Southern communes of Buenos Aires were the areas with the highest social and health inequalities of Argentina. Conclusions: Although social inequity had a significant impact on premature death rate throughout Argentina during the study period, the city of Buenos Aires was the most unequal region.

On the hypothetical universal use of statins in primary prevention: an observational analysis on low-risk patients and economic consequences of a potential wide prescription rate.

PURPOSE: Recent guidelines expand indications for statins. However, research on practical economic feasibility and cost-effectiveness in low-risk people is lacking. We aimed to describe the incidence of cardiovascular events (CVE), their total direct costs and the hypothetical effects of wide provision of statins on those rates and expenditures. METHODS: We conducted a population-based cohort study using administrative data among low risk individuals. Estimators of effects of statins were taken from Cholesterol Treatment trialist metaanalysis and from Heart Protection Study trial. Two statin prices were used for analyses: National Italian Health System (€ 0.36) and the International Drug Price Indicator (€ 0.021). RESULTS: Overall, 920,067 persons at low risk were identified and 14,849 CVE were registered (incidence rate 27.3 per 10,000 person-years). Direct costs for hospitalizations for CVE were 143 M €. Universal provision of statins would result in a significant decrease in CVE rates, from 27.3 to 17.5 per 10,000 person-years (PY) (95% confidence interval (CI): 15.8-19.4). Universal prescription of simvastatin 20 mg would cost 802 M €. Otherwise, provision of simvastatin at International Drug Price Indicator's prices would be both clinically effective and cost saving in men older than age 44 (observed expenditures 120 M €, expected 97.4 M €) but not in women (observed expenditures 22.7 M €, expected 36.5 M €). CONCLUSIONS: Among a low-risk population, hypothetical universal provision of low-cost simvastatin to men over 44 years could be both clinically effective and a cost-saving strategy.

Educational inequalities in obesity, abdominal obesity, and metabolic syndrome in seven Latin American cities: the CARMELA Study.

AIMS: Earlier reviews have found that the proportion of inverse associations between socioeconomic status and obesity increased according to the level of development of the studied country. Based on this finding, it has been hypothesized that in low- to middle- income countries the burden of obesity shifts to disadvantaged groups as a country develops. METHODS AND RESULTS: CARMELA is a cross-sectional, population-based observational study that sampled 11,550 women and men age 25-64 from seven major Latin American cities. We analyzed by gender the association of educational attainments (as proxy of socioeconomic status) with body mass index, waist circumference and metabolic syndrome. Participating cities were divided by country Human Development Index (HDI). An inverse gradient between socioeconomic status and body mass index in women was uniformly present in High HDI cities (Buenos Aires, Santiago, Mexico) but not in Medium HDI group (Barquisimeto, Bogota, Lima, Quito), where two cities showed an inverse gradient and two cities did not. In men, no clear socioeconomic gradients were found. Findings regarding waist circumference and metabolic syndrome closely mirrored those about body mass index. CONCLUSION: In women but not men, these results give support to the hypothesis of obesity shifting to the poor and extend it to the related concepts of abdominal obesity and metabolic syndrome. Obesity should be considered as a socially-generated disease and an indicator of socioeconomic disadvantage, to be approached by comprehensive strategies that bear in mind this perspective.

CARMELA: assessment of cardiovascular risk in seven Latin American cities.

OBJECTIVE: This cross-sectional, population-based observational study using stratified multistage sampling assessed the prevalence of cardiovascular risk factors and carotid plaques and measured carotid intima-media thickness in individuals living in major cities in 7 Latin American countries. PATIENTS AND METHODS: The study comprised individuals (n=11,550) aged 25 to 64 years, living in Barquisimeto, Bogota, Buenos Aires, Lima, Mexico City, Quito, and Santiago. Data on anthropometric parameters, blood pressure, fasting glucose, total and high-density lipoprotein cholesterol, triglycerides, carotid intima-media thickness, carotid plaque, and smoking status were collected through household interviews and clinical, biochemical, and sonographic measurements. RESULTS: The overall prevalence rates (ranges across cities) were as follows: hypertension (> or = 140/90 mm Hg or pharmacologic treatment), 18% (9%-29%); hypercholesterolemia (total cholesterol > or = 240 mg/dL), 14% (6%-20%); diabetes (glycemia > or = 126 mg/dL or self-reported diabetes), 7% (4%-9%); metabolic syndrome, 20% (14%-27%); obesity (body mass index > or = 30 kg/m2), 23% (18%-27%); smoking, 30% (22%-45%); and plaque, 8% (5%-14%). The mean intima-media thickness was 0.65 mm (0.60-0.74 mm). CONCLUSION: The prevalence of hypertension mirrored the world average in 3 cities but was lower in the rest. Hypercholesterolemia was highly prevalent even in countries of different socioeconomic levels. The prevalence of diabetes was similar to that in the developed countries. Tobacco use in women living in Santiago and Buenos Aires was among the world's highest. Intima-media thickness and carotid plaque prevalences varied widely.