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Nurturing care indicators for the Brazilian Early Childhood Friendly Municipal Index (Imapi)

Datos Bibliográficos

ID15535611
AutoresGabriela Buccini (0000-0001-6008-0987, University of Nevada, Las Vegas, autor de correspondencia), Jéssica Pedroso Da Silva (0000-0001-5446-4319, Universidade de Brasília), Stefanie Eugênia dos Anjos Campos Coelho (Universidade de Brasília), Gabriel Ferreira de Castro (Universidade de Brasília), Juracy Bertoldo-Junior (0000-0003-3589-2494, Universidade Federal da Bahia), Alberto Sironi (0000-0002-8964-0260, Universidade Federal da Bahia), João Medrado Gondim (0000-0001-7225-1165, Universidade Federal da Bahia), Sonia Isoyama Venancio (0000-0001-7147-3292, Instituto de Saúde), Rafael Pérez-Escamilla (0000-0001-9416-8039, Yale University), Marcos Barreto (0000-0002-7818-1855, Universidade Federal da Bahia), Muriel Bauermann Gubert (0000-0002-0103-4187, Universidade de Brasília)
Año2021
Volumen18
NúmeroS2
Páginase13155-e13155
Fecha de publicación2021-05-04
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaMaternal and Child Nutrition (JOURNAL)
Identificadores de la revistaISSN: 1740-8695 • E-ISSN: 1740-8709
EditorialWiley (PUBLISHER • GB)
DOI10.1111/mcn.13155
PMID33945222
OpenAlexW3158235961
IdiomaEN
Citas recibidas7
Referencias citadas13

The Nurturing Care Framework (NCF) calls for establishing a global monitoring and accountability systems for early childhood development (ECD). Major gaps to build low-cost and large-scale ECD monitoring systems at the local level remain. In this manuscript, we describe the process of selecting nurturing care indicators at the municipal level from existing routine information systems to develop the Brazilian Early Childhood Friendly Index (IMAPI). Three methodological steps developed through a participatory decision-making process were followed. First, a literature review identified potential indicators to translate the NCF domains. Four technical panels composed of stakeholders from federal, state and municipal levels were consulted to identify data sources, their availability at the municipal level and the strengths and weakness of each potential indicator. Second, national and international ECD experts participated in two surveys to score, following a SMART approach, the expected performance of each nurturing care indicator. This information was used to develop analytical weights for each indicator. Third, informed by strengths and weaknesses pointed out in the previous steps, the IMAPI team reached consensus on 31 nurturing care indicators across the five NCF domains (Good health [n = 14], Adequate nutrition [4], Responsive caregiving [1], Opportunities for early learning [7] and Security and safety [4]). IMAPI represents the first attempt to select nurturing care indicators at the municipal level using data from existing routine information systems

Accountability · Business · Citizen journalism · Environmental health · Index (typography · Process (computing · Process management · Strengths and weaknesses · Breastfeeding Practices and Influences · Child Nutrition and Water Access · Global Maternal and Child Health · Medicine · Psychology

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    Open Access•Gabriela Buccini, Stefanie Eugênia dos Anjos Coelho Kubo et al.•Maternal and Child Nutrition•2021

  • Prioritizing nurturing care at the municipal and district level with the Brazilian Early Childhood Friendly Municipal Index (Imapi)

    Open Access•Gabriela Buccini, Juliana Lopes Pimentel et al.•Maternal and Child Nutrition•2022

  • Nurturing care indicators for the Brazilian Early Childhood Friendly Municipal Index (Imapi)

    Open Access•Gabriela Buccini, Jéssica Pedroso Da Silva et al.•Maternal and Child Nutrition•2021

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  • Insegurança alimentar grave municipal no Brasil em 2013

    Open Access•Muriel Bauermann Gubert, Rafael Pérez-Escamilla•Ciência & Saúde Coletiva•2018

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  • Nurturing care indicators for the Brazilian Early Childhood Friendly Municipal Index (Imapi)

    Open Access•Gabriela Buccini, Jéssica Pedroso Da Silva et al.•Maternal and Child Nutrition•2021

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Obras citantes distintas7
Citas por año1,4
Intervalo de citas2021 - 2026 (6)
Velocidad de citacióncurrent
Altamente citadoNo
Tipos de citaNeutras: 5
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