Evidence map›Paper›PMID 32993666›Full record

ArticlePopulation health metrics2020

Monitoring the progress of health-related sustainable development goals (SDGs) in Brazilian states using the Global Burden of Disease indicators.

Daiane Borges Machado, Júlia Moreira Pescarini, Dandara Ramos, Renato Teixeira, Rafael Lozano, Vinicius Oliveira de Moura Pereira, Cimar Azeredo, Rômulo Paes-Sousa, Deborah Carvalho Malta, Mauricio L Barreto

Abstract read
In one paragraph

Article in Population health metrics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

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  11. Prediction and secondary prevention of preeclampsia from the perspective of public health management - the initiative of the State of Rio de Janeiro.Revista brasileira de ginecologia e obstetricia : revista da Federacao Brasileira das Sociedades de Ginecologia e Obstetricia · 2024
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  12. Review
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  14. National health surveys: overview of sampling techniques and data collected using complex designs.Epidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Daiane Borges MachadoCenter of Data and Knowledge Integration for Health (Cidacs), Oswaldo Cruz Foundation, Salvador, Brazil.
Júlia Moreira PescariniCenter of Data and Knowledge Integration for Health (Cidacs), Oswaldo Cruz Foundation, Salvador, Brazil. juliapescarini@gmail.com.ORCID 0000-0001-8711-9589
Dandara RamosCenter of Data and Knowledge Integration for Health (Cidacs), Oswaldo Cruz Foundation, Salvador, Brazil.
Renato TeixeiraPublic Health Graduate Program, School of Medicine, Federal University of Minas Gerais, Belo Horizonte, Brazil.
Rafael LozanoSchool of Medicine, Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington, USA.
Vinicius Oliveira de Moura PereiraBrazilian Institute of Geography and Statistics (IBGE), Rio de Janeiro, Brazil.
Cimar AzeredoBrazilian Institute of Geography and Statistics (IBGE), Rio de Janeiro, Brazil.
Rômulo Paes-SousaRené Rachou Institute, Fiocruz Minas, Belo Horizonte, Brazil.
Deborah Carvalho MaltaEscola de Enfermagem, Departamento Materno Infantil e Saúde Pública, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
Mauricio L BarretoCenter of Data and Knowledge Integration for Health (Cidacs), Oswaldo Cruz Foundation, Salvador, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMeasuring the Global Burden of Disease (GBD) has been the key to verifying the evolution of health indicators worldwide. We analyse subnational GBD data for Brazil in order to monitor the performance of the Brazilian states in the last 28 years on their progress towards meeting the health-related SDGs.

methodsAs part of the GBD study, we assessed the 41 health-related indicators from the SDGs in Brazil at the subnational level for all the 26 Brazilian states and the Federal District from 1990 to 2017. The GBD group has rescaled all worldwide indicators from 0 to 100, assuming that for each one of them, the worst value among all countries and overtime is 0, and the best is 100. They also estimate the overall health-related SDG index as a function of all previously estimated health indicators and the SDI index (Socio-Demographic Index) as a function of per capita income, average schooling in the population aged 15 years or over, and total fertility rate under the age of 25 (TFU25).

resultsFrom 1990 to 2017, most subnational health-related SDGs, the SDG and SDI indexes improved considerable in most Brazilian states. The observed differences in SDG indicators within Brazilian states, including HIV incidence and health worker density, increased over time. In 2017, health-related indicators that achieved good results globally included the prevalence of child wasting, NTD, household air pollution, conflict mortality, skilled birth attendance, use of modern contraceptive methods, vaccine coverage, and health worker density, but poor results were observed for child overweight and homicide rates. The high rates of overweight, alcohol consumption, and smoking prevalence found in the historically richest regions (i.e., the South and Southeast), contrast with the high rates of tuberculosis, maternal, neonatal, and under-5 mortality and WASH-related mortality found in the poorer regions (i.e., the North and Northeast).

conclusionsThe majority of Brazil's health-related SDG indicators have substantially improved over the past 28 years. However, inequalities in health among the Brazilian states and regions remain noticeable negatively affecting the Brazilian population, which can contribute to Brazil not achieving the SDG 2030 targets.

Indexed as

Age DistributionBrazilFemaleGlobal Burden of DiseaseHealth BehaviorHealth Status IndicatorsHumansMaleMortalityResidence CharacteristicsRisk FactorsSex DistributionSocioeconomic FactorsSustainable DevelopmentHealth disparitiesHealth indicatorsInequalitiesMiddle-income countriesPoverty

Identifiers

PMID32993666
PMCPMC7526114

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.