IBOV 178,000.24 — 0.00% IPSA 11,049.81 ▲ 0.30% IPC MEX 66,935.53 ▼ 0.58% MERVAL 3,287,637 ▼ 0.11% COLCAP 2,382.69 ▼ 0.39% BVL PERÚ 57,378.30 — — USD/BRL5.09▲ 0.23% USD/MXN17.31▼ 0.03% USD/CLP925.12▼ 0.64% USD/COP3,229▲ 0.82% USD/PEN3.39▼ 0.09% USD/ARS1,494▲ 0.57% USD/UYU40.27▲ 0.17% USD/PYG5,936▲ 0.08% USD/BOB12.07▼ 0.25% USD/DOP58.13▲ 0.24% USD/CRC448.42— 0.00% USD/GTQ7.62▼ 0.08% USD/HNL26.78▲ 0.07% USD/NIO 36.62 — 0.00% USD/VES746.91▼ 0.13% USD/PAB1.00— 0.00% USD/BZD2.00— 0.00% USD/JMD157.19— 0.00% USD/TTD6.74▲ 0.40% EUR/BRL5.85▼ 0.14% BRENT 83.51 ▼ 7.33% WTI 80.06 ▼ 5.44% IRON ORE 161.91 — — COPPER 6.54 ▲ 1.67% GOLD 4,111 ▲ 1.53% SILVER 58.40 ▲ 1.40% SOY 1,192 ▲ 1.73% CORN 473.00 ▲ 7.32% WHEAT 651.50 ▲ 1.92% COFFEE 321.15 ▼ 3.30% SUGAR 15.01 ▲ 2.39% ORANGE JUICE 159.20 ▲ 2.74% COTTON 81.39 ▲ 1.11% COCOA 5,903 ▲ 9.38% BEEF 227.03 ▼ 2.04% CATTLE 343.00 ▼ 1.44% LITHIUM 69.41 ▲ 0.27% PETR4 43.05 ▼ 0.85% VALE3 74.64 ▼ 2.15% ITUB4 43.17 ▲ 0.70% BBDC4 18.55 ▲ 0.76% ABEV3 15.77 ▼ 1.38% BBAS3 21.27 ▼ 0.37% B3SA3 15.62 ▼ 0.70% WEGE3 48.20 ▲ 2.12% PRIO3 58.50 ▼ 3.86% SUZB3 43.10 ▼ 0.51% RENT3 38.10 ▲ 1.30% AZZA3 16.23 ▼ 1.16% CSAN3 4.10 ▲ 0.74% RAIZ4 0.26 — 0.00% PCAR3 2.75 ▲ 6.18% GMAT3 3.97 ▼ 1.49% PSSA3 54.00 ▼ 1.28% CVCB3 1.44 ▲ 9.92% POSI3 3.51 ▼ 1.13% SLCE3 13.35 ▼ 0.22% NATU3 8.50 ▲ 1.43% BRKM5 5.96 ▼ 0.17% RANI3 8.42 ▲ 3.82% CSNA3 4.51 ▼ 6.82% CMIN3 5.73 ▲ 0.35% USIM5 7.56 ▲ 2.72% GGBR4 25.63 ▲ 2.60% ENEV3 26.75 ▲ 1.67% CPFE3 46.11 ▼ 0.07% CMIG4 11.28 ▼ 0.53% EQTL3 38.89 ▲ 0.59% LREN3 13.85 ▲ 1.84% VIVT3 32.30 ▼ 1.01% RAIL3 14.16 ▼ 1.94% KLABIN 18.24 ▼ 0.05% RAIA DROGASIL 18.85 ▲ 2.00% RDOR3 34.06 ▼ 1.67% HAPV3 11.91 ▲ 5.59% FLRY3 17.27 ▲ 0.76% SMTO3 14.38 ▼ 0.96% UGPA3 33.10 ▲ 0.15% VBBR3 36.13 ▲ 0.22% BBSE3 41.36 ▲ 0.24% BPAC11 57.12 ▲ 0.56% CURY3 31.45 ▲ 4.52% AERI3 2.15 — 0.00% VIVARA 22.84 ▲ 2.98% COMPASS 25.10 ▲ 1.05% VAMOS 3.26 ▼ 2.40% SANB11 28.93 ▲ 1.08% ASAI3 8.55 ▲ 0.59% SBSP3 27.57 ▼ 0.47% WALMEX 49.94 ▼ 0.62% GMEXICO 211.62 ▲ 1.88% FEMSA 217.81 ▼ 1.64% CEMEX 20.60 ▲ 0.44% GFNORTE 198.18 ▼ 1.20% BIMBO 61.29 ▼ 1.08% TELEVISA 9.67 ▼ 1.43% AMX 21.68 ▼ 1.77% GAP 377.50 ▲ 0.26% ASUR 278.60 ▲ 1.08% OMA 230.90 ▼ 0.19% KOF 185.35 ▼ 1.02% GRUMA 263.20 ▲ 1.92% KIMBER 40.01 ▼ 0.47% SQM-B 61,910 ▼ 1.26% COPEC 6,342 ▼ 0.13% BSANTANDER 80.44 ▼ 0.68% FALABELLA 6,384 ▲ 2.70% ENELAM 87.00 ▼ 1.13% CENCOSUD 1,955 ▲ 0.01% CMPC 1,050 ▼ 0.47% BANCO CHILE 192.48 ▼ 0.64% LATAM AIR 25.25 ▲ 2.06% YPF 8,080 ▼ 2.53% GGAL 7,980 ▲ 1.25% PAMPA 5,505 ▼ 0.90% TXAR 654.50 ▼ 0.76% ALUAR 966.50 ▼ 1.13% TGS 9,890 ▼ 1.59% CEPU 2,370 ▼ 1.09% MIRGOR 1,680 ▼ 89.72% COME 43.19 ▼ 1.91% LOMA NEGRA 3,588 ▼ 0.90% BYMA 293.25 ▼ 0.76% TELECOM ARG 4,380 ▼ 0.62% ECOPETROL 16.60 ▼ 1.01% BANCOLOMBIA 91.07 ▼ 1.57% GRUPO AVAL 5.24 ▼ 0.76% CREDICORP 395.79 ▼ 1.20% SOUTHERN COPPER 185.91 ▲ 1.75% BUENAVENTURA 30.47 ▲ 0.63% MERCADOLIBRE 1,899 ▲ 1.11% NUBANK 14.44 ▲ 0.77% XP 17.03 ▼ 0.18% PAGSEGURO 9.60 ▼ 0.41% STONE 11.35 ▼ 0.22% GLOBANT 37.14 ▲ 1.48% TECNOGLASS 46.76 ▲ 7.64% GAP AIRPORT 218.14 ▲ 0.36% ASUR 278.60 ▲ 1.08% OMA AIRPORT 106.73 ▼ 0.16% AMX ADR 24.96 ▼ 1.54% FEMSA ADR 125.75 ▼ 1.75% CEMEX ADR 11.84 ▲ 0.17% PETROBRAS ADR 19.06 ▼ 1.75% VALE ADR 14.58 ▼ 3.19% ITAU ADR 8.49 ▲ 0.35% SANTANDER BR 5.74 ▲ 1.23% AMBEV ADR 3.05 ▼ 1.93% CSN 0.93 ▼ 5.65% GERDAU 5.06 ▲ 2.02% LATAM ADR 54.53 ▲ 3.35% BTC 63,660 ▲ 0.28% ETH 1,865 ▼ 0.93% SOL 73.71 ▲ 0.36% XRP 1.08 ▼ 0.40% BNB 589.80 ▲ 0.38% ADA 0.19 ▲ 2.30% DOGE 0.07 ▼ 0.45% AVAX 6.56 ▲ 0.30% LINK 8.21 ▼ 1.89% DOT 0.82 ▲ 2.79% LTC 44.40 ▼ 0.53% BCH 213.93 ▲ 0.66% TRX 0.33 ▲ 0.66% XLM 0.17 ▼ 1.10% HBAR 0.07 ▲ 1.22% NEAR 1.74 ▲ 1.63% ATOM 1.37 ▲ 8.08% AAVE 92.74 ▲ 0.80% SELIC 14.25% EMBRAER 89.60 ▲ 3.12% EMBRAER ADR 70.94 ▲ 3.82% JBS 13.76 ▼ 1.85% JBS BDR 69.57 ▼ 1.60% MBRF3 17.70 ▲ 0.91% MBRFY 3.37 ▼ 2.03% INTER 5.63 ▲ 0.54% EGX 54,094 ▼ 0.35% USD/ZAR16.51▼ 0.26% USD/NGN1,361▲ 0.07% NIKKEI 63,755 ▼ 0.94% CSI300 4,543 ▼ 0.98% HSI 26,009 ▲ 0.48% NIFTY 24,774 ▲ 1.60% KOSPI 6,257 ▼ 5.12% JCI 6,234 ▼ 0.03% USD/JPY157.16▼ 0.19% USD/CNY6.75▲ 0.01% DAX 26,001 ▲ 1.45% CAC 8,614 ▲ 1.22% FTSE 10,858 ▼ 0.10% MIB 52,872 ▲ 1.34% IBEX 19,983 ▲ 1.01% STOXX 652.09 ▲ 0.45% EUR/USD1.15▼ 0.26% GBP/USD1.34▼ 0.42% SPX 7,601 ▲ 1.48% DJI 53,178 ▲ 1.32% NDX 28,777 ▲ 1.78% RUT 2,982 ▲ 1.73% TSX 35,226 ▼ 0.79% VIX 15.86 ▼ 0.81% USD/CAD1.40▲ 0.25% US10Y 4.6860 ▼ 1.24% IBOV 178,000.24 — 0.00% IPSA 11,049.81 ▲ 0.30% IPC MEX 66,935.53 ▼ 0.58% MERVAL 3,287,637 ▼ 0.11% COLCAP 2,382.69 ▼ 0.39% BVL PERÚ 57,378.30 — — USD/BRL 5.09 ▲ 0.23% USD/MXN 17.30 ▼ 0.04% USD/CLP 925.12 ▼ 0.64% USD/COP 3,229 ▲ 0.82% USD/PEN 3.39 ▼ 0.09% USD/ARS 1,494 ▲ 0.57% USD/UYU 40.27 ▲ 0.17% USD/PYG 5,936 ▲ 0.08% USD/BOB 12.07 ▼ 0.25% USD/DOP 58.13 ▲ 0.24% USD/CRC 448.42 ▲ 0.00% USD/GTQ 7.62 ▼ 0.08% USD/HNL 26.78 ▲ 0.07% USD/NIO 36.62 — 0.00% USD/VES 746.91 ▼ 0.13% USD/PAB 1.00 — 0.00% USD/BZD 2.00 — 0.00% USD/JMD 157.19 ▲ 0.58% USD/TTD 6.74 ▲ 1.53% EUR/BRL 5.85 ▼ 0.14% BRENT 83.51 ▼ 7.33% WTI 80.06 ▼ 5.44% IRON ORE 161.91 — — COPPER 6.54 ▲ 1.67% GOLD 4,111 ▲ 1.53% SILVER 58.40 ▲ 1.40% SOY 1,192 ▲ 1.73% CORN 473.00 ▲ 7.32% WHEAT 651.50 ▲ 1.92% COFFEE 321.15 ▼ 3.30% SUGAR 15.01 ▲ 2.39% ORANGE JUICE 159.20 ▲ 2.74% COTTON 81.39 ▲ 1.11% COCOA 5,903 ▲ 9.38% BEEF 227.03 ▼ 2.04% CATTLE 343.00 ▼ 1.44% LITHIUM 69.41 ▲ 0.27% PETR4 43.05 ▼ 0.85% VALE3 74.64 ▼ 2.15% ITUB4 43.17 ▲ 0.70% BBDC4 18.55 ▲ 0.76% ABEV3 15.77 ▼ 1.38% BBAS3 21.27 ▼ 0.37% B3SA3 15.62 ▼ 0.70% WEGE3 48.20 ▲ 2.12% PRIO3 58.50 ▼ 3.86% SUZB3 43.10 ▼ 0.51% RENT3 38.10 ▲ 1.30% AZZA3 16.23 ▼ 1.16% CSAN3 4.10 ▲ 0.74% RAIZ4 0.26 — 0.00% PCAR3 2.75 ▲ 6.18% GMAT3 3.97 ▼ 1.49% PSSA3 54.00 ▼ 1.28% CVCB3 1.44 ▲ 9.92% POSI3 3.51 ▼ 1.13% SLCE3 13.35 ▼ 0.22% NATU3 8.50 ▲ 1.43% BRKM5 5.96 ▼ 0.17% RANI3 8.42 ▲ 3.82% CSNA3 4.51 ▼ 6.82% CMIN3 5.73 ▲ 0.35% USIM5 7.56 ▲ 2.72% GGBR4 25.63 ▲ 2.60% ENEV3 26.75 ▲ 1.67% CPFE3 46.11 ▼ 0.07% CMIG4 11.28 ▼ 0.53% EQTL3 38.89 ▲ 0.59% LREN3 13.85 ▲ 1.84% VIVT3 32.30 ▼ 1.01% RAIL3 14.16 ▼ 1.94% KLABIN 18.24 ▼ 0.05% RAIA DROGASIL 18.85 ▲ 2.00% RDOR3 34.06 ▼ 1.67% HAPV3 11.91 ▲ 5.59% FLRY3 17.27 ▲ 0.76% SMTO3 14.38 ▼ 0.96% UGPA3 33.10 ▲ 0.15% VBBR3 36.13 ▲ 0.22% BBSE3 41.36 ▲ 0.24% BPAC11 57.12 ▲ 0.56% CURY3 31.45 ▲ 4.52% AERI3 2.15 — 0.00% VIVARA 22.84 ▲ 2.98% COMPASS 25.10 ▲ 1.05% VAMOS 3.26 ▼ 2.40% SANB11 28.93 ▲ 1.08% ASAI3 8.55 ▲ 0.59% SBSP3 27.57 ▼ 0.47% WALMEX 49.94 ▼ 0.62% GMEXICO 211.62 ▲ 1.88% FEMSA 217.81 ▼ 1.64% CEMEX 20.60 ▲ 0.44% GFNORTE 198.18 ▼ 1.20% BIMBO 61.29 ▼ 1.08% TELEVISA 9.67 ▼ 1.43% AMX 21.68 ▼ 1.77% GAP 377.50 ▲ 0.26% ASUR 278.60 ▲ 1.08% OMA 230.90 ▼ 0.19% KOF 185.35 ▼ 1.02% GRUMA 263.20 ▲ 1.92% KIMBER 40.01 ▼ 0.47% SQM-B 61,910 ▼ 1.26% COPEC 6,342 ▼ 0.13% BSANTANDER 80.44 ▼ 0.68% FALABELLA 6,384 ▲ 2.70% ENELAM 87.00 ▼ 1.13% CENCOSUD 1,955 ▲ 0.01% CMPC 1,050 ▼ 0.47% BANCO CHILE 192.48 ▼ 0.64% LATAM AIR 25.25 ▲ 2.06% YPF 8,080 ▼ 2.53% GGAL 7,980 ▲ 1.25% PAMPA 5,505 ▼ 0.90% TXAR 654.50 ▼ 0.76% ALUAR 966.50 ▼ 1.13% TGS 9,890 ▼ 1.59% CEPU 2,370 ▼ 1.09% MIRGOR 1,680 ▼ 89.72% COME 43.19 ▼ 1.91% LOMA NEGRA 3,588 ▼ 0.90% BYMA 293.25 ▼ 0.76% TELECOM ARG 4,380 ▼ 0.62% ECOPETROL 16.60 ▼ 1.01% BANCOLOMBIA 91.07 ▼ 1.57% GRUPO AVAL 5.24 ▼ 0.76% CREDICORP 395.79 ▼ 1.20% SOUTHERN COPPER 185.91 ▲ 1.75% BUENAVENTURA 30.47 ▲ 0.63% MERCADOLIBRE 1,899 ▲ 1.11% NUBANK 14.44 ▲ 0.77% XP 17.03 ▼ 0.18% PAGSEGURO 9.60 ▼ 0.41% STONE 11.35 ▼ 0.22% GLOBANT 37.14 ▲ 1.48% TECNOGLASS 46.76 ▲ 7.64% GAP AIRPORT 218.14 ▲ 0.36% ASUR 278.60 ▲ 1.08% OMA AIRPORT 106.73 ▼ 0.16% AMX ADR 24.96 ▼ 1.54% FEMSA ADR 125.75 ▼ 1.75% CEMEX ADR 11.84 ▲ 0.17% PETROBRAS ADR 19.06 ▼ 1.75% VALE ADR 14.58 ▼ 3.19% ITAU ADR 8.49 ▲ 0.35% SANTANDER BR 5.74 ▲ 1.23% AMBEV ADR 3.05 ▼ 1.93% CSN 0.93 ▼ 5.65% GERDAU 5.06 ▲ 2.02% LATAM ADR 54.53 ▲ 3.35% BTC 63,660 ▲ 0.28% ETH 1,865 ▼ 0.93% SOL 73.71 ▲ 0.36% XRP 1.08 ▼ 0.40% BNB 589.80 ▲ 0.38% ADA 0.19 ▲ 2.30% DOGE 0.07 ▼ 0.45% AVAX 6.56 ▲ 0.30% LINK 8.21 ▼ 1.89% DOT 0.82 ▲ 2.79% LTC 44.40 ▼ 0.53% BCH 213.93 ▲ 0.66% TRX 0.33 ▲ 0.66% XLM 0.17 ▼ 1.10% HBAR 0.07 ▲ 1.22% NEAR 1.74 ▲ 1.63% ATOM 1.37 ▲ 8.08% AAVE 92.74 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Argentina Brazil

Argentina and Brazil: a comparative analysis of the trajectory of health systems, 2001-2016

By · July 15, 2022 · 4 min read

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By Marcelo Rasga Moreira, Jose Mendes Ribeiro and Mariano Fontela

RIO DE JANEIRO, BRAZIL – This article aims to analyze the trajectories of the health systems of Argentina and Brazil from the period 2001-2016. It is the product of the research National Health Systems in Comparative Perspective: studies on local, regional and participatory management and the second of a series of three prepared for the journal Movimiento.

For the analysis, a model was developed composed of variables that, in the health sector, express political, economic, and overcoming inequalities aspects, articulating them in classic performance indicators of health systems.

The results indicate that, in the investigated period, there was an effective strengthening of the health systems in both countries and a reduction of inequalities. This, however, was not enough to prevent the existing social protection gap from widening between these two South American countries, on the one hand, and the European countries studied and the OECD average, on the other.

ANALYSIS OF THE TRAJECTORIES OF HEALTH SYSTEMS

The analysis begins with the relationship between the results of 2016 and those verified in 2001: ‘better’, ‘same’, or ‘worse’. It is not enough, however, to analyze and compare the performance of each system relative to its past, especially since the systems with the worst results in 2001 were expected to have improved in 2016.

The results of the systems are then compared with each other and with a point of reference: the OECD. This choice is because their countries’ results – expressed on a World Bank basis as the ‘OECD average’ – were very good in 2001 and improved in 2016.

Graph 1 and Table 1 summarize the main results obtained by applying the analytical model. As a form of contextualization, data from the countries surveyed are presented, but the analyzes focus on Argentina and Brazil.

Graph 1 shows that Argentina and Brazil are in Quadrant 3 (Q3), which corresponds to a ‘strengthening’ trajectory.

Throughout the 16 years studied and based on the indicators used in the model, both countries’ political-economic environment was favorable to improving health systems, which showed an equitable porosity and implemented –or improved– policies to overcome inequalities, expanding social protection.

Graph 1: trajectory of the national health systems of selected countries according to the ‘political-economic environment’ and the ‘policies to overcome inequalities’, 2001-2016 (Photo internet reproduction)
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In Table 1, it can be seen that, along this “strengthening” trajectory, Argentina and Brazil had a reduction in IMR and MMR and an increase in LEN. They differ only in the GB, where Argentina has a small increase, while Brazil promotes a reduction. Such scenarios indicate expansion of social protection and reduction of inequalities.

Table 1: Life Expectancy at Birth (EVN), Infant Mortality Rate (TMI), Maternal Mortality Rate (TMM) and Out-of-Pocket Expenditure (GB) in selected countries and ‘OECD average’: 2001-2016 (Photo internet reproduction)

On the other hand, it can be seen, through Table 1, that the IMR, the MMR and the EVN reached in 2016 by the two countries are lower than those that the European countries studied and the OECD average already had in 2001.

As such indicators in the European countries studied and the OECD average also improved between 2001 and 2016, there was a widening of the gap verified in 2001.

If the countries that performed poorly in 2001 were not expected to improve to the point of exceeding to the others in 2016, it was also expected that there would be some narrowing of the gap between them, as those who were already doing very well in 2001 would have less ‘room’ to improve further.

But that is not what happened: the gaps, which were already large in 2001, increased in 2016.

The poor performance in 2001 of the indicators adopted by the research reflects the damage to social protection caused by the neoliberal policies of fiscal adjustment and reduction of the role of the State adopted in the 1990s in Argentina and Brazil.

Given this, at the beginning of the 21st century, policies to increase investment in public health systems were hegemonic –Peronist and PT governments– and proved to be powerful in improving the performance of health systems in their recent past, but they were not able to approximate them to the performance of the systems of the European countries and the OECD.

This indicates that the inequality caused by neoliberal policies is so harmful to a society that it can determine that living conditions are continually inferior to those of societies that develop social protection and welfare policies with greater consistency.

Between 2015 and 2016, Argentina and Brazil experienced changes in the hegemony of their political systems.

Its new leaders –elected in Argentina; due to an institutional coup in Brazil– they restricted the resources of the health systems, discontinued health programs and policies –in Argentina, they even lowered the rank of the Ministry of Health– and unfavorable policies’, which reveals that the system has resources, but that they are still subject to dispute.

[1] Research developed by a team from the Department of Social Sciences of the National School of Public Health, Oswaldo Cruz Foundation (DCS/ENSP/FIOCRUZ), Brazil, in ten countries. The Isalud University was in charge of applying the research in Argentina. From this alliance emerged the PIAPS (Health Policy Research Program), coordinated by the authors of the article

With information from

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