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The combined effect of social pensions and cash transfers on child mortality: evaluating the last two decades in Brazil and projecting their mitigating effect during the global economic crisis

BACKGROUND: The world is currently experiencing multiple economic crises due to the COVID-19 pandemic, war in Ukraine, and inflation surge, which disproportionately affect children, especially in low- and middle-income countries (LMICs). We evaluated if the expansion of Social Assistance, represente...

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Autores principales: Aransiola, Temidayo James, Ordoñez, José Alejandro, Cavalcanti, Daniella Medeiros, Alves de Sampaio Morais, Gabriel, de Oliveira Ramos, Dandara, Rasella, Davide
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10661114/
https://www.ncbi.nlm.nih.gov/pubmed/38029069
http://dx.doi.org/10.1016/j.lana.2023.100618
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author Aransiola, Temidayo James
Ordoñez, José Alejandro
Cavalcanti, Daniella Medeiros
Alves de Sampaio Morais, Gabriel
de Oliveira Ramos, Dandara
Rasella, Davide
author_facet Aransiola, Temidayo James
Ordoñez, José Alejandro
Cavalcanti, Daniella Medeiros
Alves de Sampaio Morais, Gabriel
de Oliveira Ramos, Dandara
Rasella, Davide
author_sort Aransiola, Temidayo James
collection PubMed
description BACKGROUND: The world is currently experiencing multiple economic crises due to the COVID-19 pandemic, war in Ukraine, and inflation surge, which disproportionately affect children, especially in low- and middle-income countries (LMICs). We evaluated if the expansion of Social Assistance, represented by Social Pensions (SP) and Conditional Cash Transfers (CCT), could reduce infant and child mortality, and mitigate excess deaths among children in Brazil, one of the LMICs most affected by these economic crises. METHODS: We conducted a retrospective impact evaluation in a cohort of Brazilian municipalities from 2004 to 2019 using multivariable fixed-effects negative binomial models, adjusted for relevant demographic, social, and economic factors, to estimate the effects of the SP and CCT on infant and child mortality. To verify the robustness of the results, we conducted several sensitivity and triangulation analyses, including difference-in-difference with propensity-score matching. These results were incorporated into dynamic microsimulation models to generate projections to 2030 of various economic crises and Social Assistance scenarios. FINDINGS: Consolidated coverage of SP was associated with significant reductions in infant and child mortality rates, with a rate ratio (RR) of 0.843 (95% CI: 0.826–0.861) and 0.840 (95% CI: 0.824–0.856), respectively. Similarly, CCT consolidated coverages showed RRs of 0.868 (95% CI: 0.842–0.849) and 0.874 (95% CI: 0.850–0.899) for infant and child mortality, respectively. The higher the degree of poverty in the municipalities, the stronger the impact of CCT on reducing child mortality. Given the current economic crisis, a mitigation strategy that will increase the coverage of SP and CCT could avert 148,736 (95% CI: 127,148–170,706) child deaths up to 2030, compared with fiscal austerity measures. INTERPRETATION: SP and CCT programs could strongly reduce child mortality in LMICs, and their expansion should be considered as an effective strategy to mitigate the impact of the current multiple global economic crises. FUNDING: 10.13039/100000865Bill & Melinda Gates Foundation, Grant_Number:INV-027961. 10.13039/501100000265Medical Research Council(MRC-UKRI),Grant_Number:MC_PC_MR/T023678/1.
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spelling pubmed-106611142023-11-03 The combined effect of social pensions and cash transfers on child mortality: evaluating the last two decades in Brazil and projecting their mitigating effect during the global economic crisis Aransiola, Temidayo James Ordoñez, José Alejandro Cavalcanti, Daniella Medeiros Alves de Sampaio Morais, Gabriel de Oliveira Ramos, Dandara Rasella, Davide Lancet Reg Health Am Articles BACKGROUND: The world is currently experiencing multiple economic crises due to the COVID-19 pandemic, war in Ukraine, and inflation surge, which disproportionately affect children, especially in low- and middle-income countries (LMICs). We evaluated if the expansion of Social Assistance, represented by Social Pensions (SP) and Conditional Cash Transfers (CCT), could reduce infant and child mortality, and mitigate excess deaths among children in Brazil, one of the LMICs most affected by these economic crises. METHODS: We conducted a retrospective impact evaluation in a cohort of Brazilian municipalities from 2004 to 2019 using multivariable fixed-effects negative binomial models, adjusted for relevant demographic, social, and economic factors, to estimate the effects of the SP and CCT on infant and child mortality. To verify the robustness of the results, we conducted several sensitivity and triangulation analyses, including difference-in-difference with propensity-score matching. These results were incorporated into dynamic microsimulation models to generate projections to 2030 of various economic crises and Social Assistance scenarios. FINDINGS: Consolidated coverage of SP was associated with significant reductions in infant and child mortality rates, with a rate ratio (RR) of 0.843 (95% CI: 0.826–0.861) and 0.840 (95% CI: 0.824–0.856), respectively. Similarly, CCT consolidated coverages showed RRs of 0.868 (95% CI: 0.842–0.849) and 0.874 (95% CI: 0.850–0.899) for infant and child mortality, respectively. The higher the degree of poverty in the municipalities, the stronger the impact of CCT on reducing child mortality. Given the current economic crisis, a mitigation strategy that will increase the coverage of SP and CCT could avert 148,736 (95% CI: 127,148–170,706) child deaths up to 2030, compared with fiscal austerity measures. INTERPRETATION: SP and CCT programs could strongly reduce child mortality in LMICs, and their expansion should be considered as an effective strategy to mitigate the impact of the current multiple global economic crises. FUNDING: 10.13039/100000865Bill & Melinda Gates Foundation, Grant_Number:INV-027961. 10.13039/501100000265Medical Research Council(MRC-UKRI),Grant_Number:MC_PC_MR/T023678/1. Elsevier 2023-11-03 /pmc/articles/PMC10661114/ /pubmed/38029069 http://dx.doi.org/10.1016/j.lana.2023.100618 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Articles
Aransiola, Temidayo James
Ordoñez, José Alejandro
Cavalcanti, Daniella Medeiros
Alves de Sampaio Morais, Gabriel
de Oliveira Ramos, Dandara
Rasella, Davide
The combined effect of social pensions and cash transfers on child mortality: evaluating the last two decades in Brazil and projecting their mitigating effect during the global economic crisis
title The combined effect of social pensions and cash transfers on child mortality: evaluating the last two decades in Brazil and projecting their mitigating effect during the global economic crisis
title_full The combined effect of social pensions and cash transfers on child mortality: evaluating the last two decades in Brazil and projecting their mitigating effect during the global economic crisis
title_fullStr The combined effect of social pensions and cash transfers on child mortality: evaluating the last two decades in Brazil and projecting their mitigating effect during the global economic crisis
title_full_unstemmed The combined effect of social pensions and cash transfers on child mortality: evaluating the last two decades in Brazil and projecting their mitigating effect during the global economic crisis
title_short The combined effect of social pensions and cash transfers on child mortality: evaluating the last two decades in Brazil and projecting their mitigating effect during the global economic crisis
title_sort combined effect of social pensions and cash transfers on child mortality: evaluating the last two decades in brazil and projecting their mitigating effect during the global economic crisis
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10661114/
https://www.ncbi.nlm.nih.gov/pubmed/38029069
http://dx.doi.org/10.1016/j.lana.2023.100618
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