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

Buccini, Gabriela, Pimentel, Juliana L., Pedroso, Jéssica, Coelho Kubo, Stefanie Eugênia Dos Anjos, Bertoldo, Juracy, Sironi, Alberto, Barreto, Marcos E. ORCID: 0000-0002-7818-1855, Pérez‐escamilla, Rafael and Gubert, Muriel B. (2022) Prioritizing nurturing care at the municipal and district level with the Brazilian Early Childhood Friendly Municipal Index (IMAPI). Maternal and Child Nutrition, 18 (S2). ISSN 1740-8695

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Abstract

The Brazilian Early Childhood Friendly Municipal Index (IMAPI) is a population-based approach to monitor the nurturing care environment for early childhood development (ECD) using routine information system data. It is unknown whether IMAPI can be applied to document metropolitan urban territorial differences in nurturing care environments. We used Brasilia, Brazil's capital with a large metropolitan population of 2,881,854 inhabitants divided into 31 districts, as a case study to examine whether disaggregation of nurturing care data can inform a more equitable prioritization for ECD in metropolitan areas. IMAPI scores were estimated at the municipal level (IMAPI-M, 31 indicators) and at the district level (IMAPI-D, 29 indicators). We developed a quantitative prioritization process for indicators in each IMAPI analysis, and those selected were jointly mapped in the socioecological model for the role of indicators in relation to the enabling environment for nurturing care. Out of 28 common nurturing care indicators across IMAPI analysis, only four were prioritized in both analyses: one from the Adequate nutrition, two from the Opportunities for early learning, and one from the Responsive caregiving domains. These four indicators were mapped as enabling policies, supportive services, and caregivers’ capabilities (socioecological model) and Effort, Coverage, and Quality (indicator's role). In conclusion, the different levels of nurturing care data disaggregation in the IMAPI can better inform decision-making than each one individually, especially in metropolitan areas where municipalities and districts within metropolitan areas have relative decision-making autonomy.

Item Type:	Article
Additional Information:	© 2022 The Authors
Divisions:	Statistics
Subjects:	H Social Sciences > HQ The family. Marriage. Woman H Social Sciences
Date Deposited:	02 Aug 2022 11:18
Last Modified:	20 Dec 2024 00:45
URI:	http://eprints.lse.ac.uk/id/eprint/115759

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