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

Buccini, Gabriela, Pedroso, Jéssica, Coelho, Stefanie, Ferreira De Castro, Gabriel, Bertoldo, Juracy, Sironi, Alberto, Gondim, Joao, Venancio, Sonia Isoyama, Pérez‐escamilla, Rafael, Barreto, Marcos Ennes ORCID: 0000-0002-7818-1855 and Gubert, Muriel Bauermann (2022) Nurturing care indicators for the Brazilian Early Childhood Friendly Municipal Index (IMAPI). Maternal and Child Nutrition, 18 (S2). ISSN 1740-8695

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Identification Number: 10.1111/mcn.13155


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.

Item Type: Article
Official URL:
Additional Information: © 2021 The Authors
Divisions: Statistics
Subjects: H Social Sciences > HQ The family. Marriage. Woman
R Medicine > RJ Pediatrics > RJ101 Child Health. Child health services
Date Deposited: 13 Sep 2021 15:36
Last Modified: 16 May 2024 21:54

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