Evidence map›Paper›PMID 35604890›Full record

ArticlePloS one2022

Evaluating the effect of Bolsa Familia, Brazil's conditional cash transfer programme, on maternal and child health: A study protocol.

Ila Rocha Falcão, Rita de Cássia Ribeiro-Silva, Flávia Jôse Oliveira Alves, Naiá Ortelan, Natanael J Silva, Rosemeire L Fiaccone, Marcia Furquim de Almeida, Júlia M Pescarini, Cinthia Soares Lisboa, Elzo Pereira Pinto Júnior and 11 more

Abstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

21 authors.

Ila Rocha FalcãoSchool of Nutrition, Federal University of Bahia, Salvador, Brazil.ORCID 0000-0001-6961-3858
Rita de Cássia Ribeiro-SilvaSchool of Nutrition, Federal University of Bahia, Salvador, Brazil.
Flávia Jôse Oliveira AlvesCentre for Data and Knowledge Integration for Health (CIDACS), Oswaldo Cruz Foundation, Salvador, Brazil.
Naiá OrtelanCentre for Data and Knowledge Integration for Health (CIDACS), Oswaldo Cruz Foundation, Salvador, Brazil.
Natanael J SilvaCentre for Data and Knowledge Integration for Health (CIDACS), Oswaldo Cruz Foundation, Salvador, Brazil.
Rosemeire L FiacconeCentre for Data and Knowledge Integration for Health (CIDACS), Oswaldo Cruz Foundation, Salvador, Brazil.
Marcia Furquim de AlmeidaSchool of Public Health, University of São Paulo, São Paulo, Brazil.ORCID 0000-0003-0052-1888
Júlia M PescariniCentre for Data and Knowledge Integration for Health (CIDACS), Oswaldo Cruz Foundation, Salvador, Brazil.
Cinthia Soares LisboaCentre for Data and Knowledge Integration for Health (CIDACS), Oswaldo Cruz Foundation, Salvador, Brazil.
Elzo Pereira Pinto JúniorCentre for Data and Knowledge Integration for Health (CIDACS), Oswaldo Cruz Foundation, Salvador, Brazil.
Enny S PaixaoCentre for Data and Knowledge Integration for Health (CIDACS), Oswaldo Cruz Foundation, Salvador, Brazil.
Andrea J F FerreiraCentre for Data and Knowledge Integration for Health (CIDACS), Oswaldo Cruz Foundation, Salvador, Brazil.
Camila Silveira Silva TeixeiraCentre for Data and Knowledge Integration for Health (CIDACS), Oswaldo Cruz Foundation, Salvador, Brazil.
Aline Dos Santos RochaSchool of Nutrition, Federal University of Bahia, Salvador, Brazil.
Srinivasa Vittal KatikireddiMRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, Scotland.
M Sanni AliEpidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Ruth DundasMRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, Scotland.
Alastair LeylandMRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, Scotland.
Laura C RodriguesCentre for Data and Knowledge Integration for Health (CIDACS), Oswaldo Cruz Foundation, Salvador, Brazil.
Maria Yury IchiharaCentre for Data and Knowledge Integration for Health (CIDACS), Oswaldo Cruz Foundation, Salvador, Brazil.ORCID 0000-0001-8590-6212
Mauricio L BarretoCentre for Data and Knowledge Integration for Health (CIDACS), Oswaldo Cruz Foundation, Salvador, Brazil.ORCID 0000-0002-0215-4930

Funding

Chief Scientist Office SCAF/15/02Chief Scientist Office SPHSU13Medical Research Council MC_UU_12017/13Wellcome TrustWellcome Trust 13589/Z/18/ZWellcome Trust 202912/Z/16/Z
6 · The paper itself

Abstract

backgroundConditional Cash Transfer Programs have been developed in Latin America in response to poverty and marked social inequalities on the continent. In Brazil, the Bolsa Familia Program (BFP) was implemented to alleviate poverty and improve living conditions, health, and education for socioeconomically vulnerable populations. However, the effect of this intervention on maternal and child health is not well understood.

methodsWe will evaluate the effect of BFP on maternal and child outcomes: 1. Birth weight; 2. Preterm birth; 3. Maternal mortality; and 4. Child growth. Dynamic retrospective cohort data from the 100 Million Brazilian Cohort (2001 to 2015) will be linked to three different databases: Live Birth Information System (2004 to 2015); Mortality Information System (2011 to 2015); and Food and Nutritional Surveillance System (2008 to 2017). The definition of exposure to the BFP varies according to the outcome studied. Those who never received the benefit until the outcome or until the end of the follow-up will be defined as not exposed. The effects of BFP on maternal and child outcomes will be estimated by a combination of propensity score-based methods and weighted logistic regressions. The analyses will be further stratified to reflect changes in the benefit entitlement before and after 2012. DISCUSSION: Harnessing a large linked administrative cohort allows us to assess the effect of the BFP on maternal and child health, while considering a wide range of explanatory and confounding variables.

Indexed as

Child HealthPremature BirthBrazilChildFemaleHumansInfant, NewbornPovertyRetrospective Studies

Identifiers

PMID35604890
PMCPMC9126365

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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.