Predictors of maternal knowledge on early childhood development in highly marginalized communities in Mexico: Implications for public policy.

INTRODUCTION: Efforts to identify the predictors of maternal knowledge on Early Child Development (ECD) have proven inconclusive thus far, particularly with respect to socially deprived contexts in Low- and Middle-Income Countries (LMICs). We quantified the extent of ECD knowledge among mothers who were the primary caregivers of 0-38-month-old infants in marginalized communities in Mexico. We also explored the characteristics of the children, both individually and with regard to their households, given the influence of these factors on childhood development. METHODS: We analyzed primary data obtained through a questionnaire administered to mothers who were the primary caregivers of 1045 girls and boys 0-38 months of age. The instrument was specifically designed for our study in order to explore the knowledge of participants about physical, neurological and psycho-affective development during childhood. We performed fractional regression analysis to assess the predictors of ECD knowledge. RESULTS: The mean score of maternal ECD knowledge increased with their age and schooling as well as with their levels of cognitive ability and self-esteem. Irrespective of age at first birth, mean knowledge was relatively high for women with high school education and low for women with elementary or no formal education, a gradient with respect to age at fist birth was more marked among women with middle school education. ECD knowledge scores increased among mothers from households enjoying higher socioeconomic levels and from households with health insurance. Scores were lower for indigenous households regardless of their participation in social programs. CONCLUSION: Public policies on ECD should promote programs that are not only adapted to specific contexts, but also designed to improve shared child-rearing, early childhood care and as well as psycho-emotional education skills as a pathway to healthier ECD. The participation of families and communities in sensitive childhood care should form part of multisectoral programs involving education, health and wellbeing.

A behavioral economics analysis of the participation in early childhood development social programs promoted by civil societies in Mexico.

Based on a behavioral economics (BE) approach, we analyzed the decision to participate in an early childhood development (ECD) program implemented in Mexico by a non-governmental organization. We conducted a literature review and a qualitative study of four localities participating in the ECD program. Situated in the state of Oaxaca, these communities are characterized by high and very high levels of social marginalization. From May 20 to 30, 2019, we collected primary data through semi-structured interviews (n = 30) and focus groups (n = 7) with a total of 61 informants (51 women and 10 men). We then performed an inductive systematic analysis of the data to identify documented cognitive bias associated with the decisions of individuals to participate and remain in or abandon social programs. The interviewees were living in conditions of poverty, facing difficulties in meeting even their most basic needs including food. Program participants attached far greater weight to incentives such as the basic food basket than to the other benefits offered by the program. The four localities visited maintained traditional views of domestic roles and practices, particularly regarding child-rearing, where women were in charge of childcare, home care and food preparation. Problems linked to child malnutrition were a decisive factor in the decision of residents to participate and remain in the program. Testimonials gathered during the study demonstrated that the longer the mothers remained in the program, the more they understood and adopted the concepts promoted by the interventions. In contexts marked by economic vulnerability, it is essential that ECD programs create the necessary conditions for maximizing the benefits they offer. Our analysis suggests that cognitive load and present bias were the biases that most severely affected the decision-making capacity of beneficiaries. Therefore, considering loss aversion and improving the management of incentives can help policymakers design actions that "nudge" people into making the kinds of decisions that contribute to their well-being.