Evidence map›Paper›PMID 37450301›Full record

ArticleJAMA network open2023

Evaluation and Forecasting Analysis of the Association of Conditional Cash Transfer With Child Mortality in Latin America, 2000-2030.

Daniella Medeiros Cavalcanti, José Alejandro Ordoñez, Temidayo Aransiola, Cristina Almeida, Juan Felipe Perdomo Díaz, Daniela Zuluaga Mayorga, Alejandro Zamudio Sosa, Renato Tasca, Tereza Campello, Luis Eugenio de Souza and 4 more

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
18.6field-weighted citation impact, top 1% of its field
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

9 citing papers in PubMed, 32 citations in OpenAlex.

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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

14 authors at 6 institutions in 7 countries.

Daniella Medeiros CavalcantiInstitute of Collective Health at the Federal University of Bahia, Bahia, Brazil.
José Alejandro OrdoñezInstitute of Collective Health at the Federal University of Bahia, Bahia, Brazil.
Temidayo AransiolaInstitute of Collective Health at the Federal University of Bahia, Bahia, Brazil.
Cristina AlmeidaCentro de Investigación para la Salud en América Latina, Pontificia Universidad Católica del Ecuador, Quito, Ecuador.
Juan Felipe Perdomo DíazAlberto Lleras Camargo School of Government, Universidad de los Andes, Bogotá, Colombia.
Daniela Zuluaga MayorgaAlberto Lleras Camargo School of Government, Universidad de los Andes, Bogotá, Colombia.
Alejandro Zamudio SosaHealth Research Consortium, Cuernavaca, Mexico.
Renato TascaInstitute of Studies for Health Policies, Rio de Janeiro, Brazil.
Tereza CampelloCenter for Epidemiological Research in Nutrition and Health at the University of São Paulo, São Paulo, Brazil.
Luis Eugenio de SouzaInstitute of Collective Health at the Federal University of Bahia, Bahia, Brazil.
Philipp HesselAlberto Lleras Camargo School of Government, Universidad de los Andes, Bogotá, Colombia.
Carlos ChivardiHealth Research Consortium, Cuernavaca, Mexico.
Ana L MoncayoCentro de Investigación para la Salud en América Latina, Pontificia Universidad Católica del Ecuador, Quito, Ecuador.
Davide RasellaInstitute of Collective Health at the Federal University of Bahia, Bahia, Brazil.
Universidade Federal da Bahia · BRPontificia Universidad Católica del Ecuador · ECUniversidad de Los Andes · COUniversidad Del Valle De Cuernavaca · MXSwiss Tropical and Public Health Institute · CHUniversidade de São Paulo · BR

Funding

Medical Research Council MC_PC_MR/T023678/1
6 · The paper itself

Abstract

Importance: Latin America has implemented the world's largest and most consolidated conditional cash transfer (CCT) programs during the last 2 decades. As a consequence of the COVID-19 pandemic, poverty rates have markedly increased, and a large number of newly low-income individuals, especially children, have been left unprotected. Objective: To evaluate the association of CCT programs with child health in Latin American countries during the last 2 decades and forecast child mortality trends up to 2030 according to CCT alternative implementation options. Design, Setting, and Participants: This cohort study used a multicountry, longitudinal, ecological design with multivariable negative binomial regression models, which were adjusted for all relevant demographic, socioeconomic, and health care variables, integrating the retrospective impact evaluations from January 1, 2000, to December 31, 2019, with dynamic microsimulation models to forecast potential child mortality scenarios up to 2030. The study cohort included 4882 municipalities from Brazil, Ecuador, and Mexico with adequate quality of civil registration and vital statistics according to a validated multidimensional criterion. Data analysis was performed from September 2022 to February 2023. Exposure: Conditional cash transfer coverage of the target (lowest-income) population categorized into 4 levels: low (0%-29.9%), intermediate (30.0%-69.9%), high (70.0%-99.9%), and consolidated (≥100%). Main Outcomes and Measures: The main outcomes were mortality rates for those younger than 5 years and hospitalization rates (per 1000 live births), overall and by poverty-related causes (diarrheal, malnutrition, tuberculosis, malaria, lower respiratory tract infections, and HIV/AIDS), and the mortality rates for those younger than 5 years by age groups, namely, neonatal (0-28 days), postneonatal (28 days to 1 year), infant (<1 year), and toddler (1-4 years). Results: The retrospective analysis included 4882 municipalities. During the study period of January 1, 2000, to December 31, 2019, mortality in Brazil, Ecuador, and Mexico decreased by 7.8% in children and 6.5% in infants, and an increase in coverage of CCT programs of 76.8% was observed in these Latin American countries. Conditional cash transfer programs were associated with significant reductions of mortality rates in those younger than 5 years (rate ratio [RR], 0.76; 95% CI, 0.75-0.76), having prevented 738 919 (95% CI, 695 641-782 104) child deaths during this period. The association of highest coverage of CCT programs was stronger with poverty-related diseases, such as malnutrition (RR, 0.33; 95% CI, 0.31-0.35), diarrhea (RR, 0.41; 95% CI, 0.40-0.43), lower respiratory tract infections (RR, 0.66, 95% CI, 0.65-0.68), malaria (RR, 0.76; 95% CI, 0.63-0.93), tuberculosis (RR, 0.62; 95% CI, 0.48-0.79), and HIV/AIDS (RR, 0.32; 95% CI, 0.28-0.37). Several sensitivity and triangulation analyses confirmed the robustness of the results. Considering a scenario of moderate economic crisis, a mitigation strategy that will increase the coverage of CCTs to protect those newly in poverty could reduce the mortality rate for those younger than 5 years by up to 17% (RR, 0.83; 95% CI, 0.80-0.85) and prevent 153 601 (95% CI, 127 441-180 600) child deaths by 2030 in Brazil, Ecuador, and Mexico. Conclusions and Relevance: The results of this cohort study suggest that the expansion of CCT programs could strongly reduce childhood hospitalization and mortality in Latin America and should be considered an effective strategy to mitigate the health impact of the current global economic crisis in low- and middle-income countries.

Indexed as

COVID-19HIV InfectionsMalnutritionRespiratory Tract InfectionsTuberculosisChildChild MortalityCohort StudiesHumansInfantInfant, NewbornLatin AmericaPandemicsRetrospective Studies

Identifiers

PMID37450301
PMCPMC10349336
OpenAlexW4384338192

What OpenQuestion holds

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LicenceCC BY
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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.