Department of Environmental Health, University of Nevada, Las Vegas, 4700 S. Maryland Parkway, Suite #335, Mail Stop #3063, Las Vegas, Nevada, 89119, USA.
Department of Nutrition, University of Brasília, Brasilia, Brazil.
Matern Child Nutr. 2022 Mar;18 Suppl 2(Suppl 2):e13155. doi: 10.1111/mcn.13155. Epub 2021 May 4.
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.
养育关怀框架(NCF)呼吁建立一个全球监测和问责制,以促进儿童早期发展(ECD)。在地方一级建立低成本和大规模 ECD 监测系统仍然存在重大差距。在本文中,我们描述了从现有常规信息系统中选择养育关怀指标的过程,以开发巴西儿童友好指数(IMAPI)。通过参与式决策过程制定了三个方法步骤。首先,文献综述确定了潜在的指标,以转化 NCF 领域。四个由来自联邦、州和市级的利益攸关方组成的技术小组被咨询,以确定数据来源、其在市级的可用性,以及每个潜在指标的优缺点。其次,国家和国际 ECD 专家参加了两项调查,按照 SMART 方法对每个养育关怀指标的预期表现进行评分。这些信息用于为每个指标制定分析权重。第三,根据前几个步骤中指出的优缺点,IMAPI 团队就五个 NCF 领域(良好健康[14 个]、充足营养[4 个]、响应性照护[1 个]、早期学习机会[7 个]和安全保障[4 个])达成共识,确定了 31 个养育关怀指标。IMAPI 代表了首次尝试使用现有常规信息系统在市级选择养育关怀指标。