COVID-19 concerns among caregivers and vitamin A supplementation coverage among children aged 6-59 months in four countries in Western sub-Saharan Africa.

OBJECTIVE: To assess child vitamin A supplementation (VAS) coverage in 2019 and 2020 and explore key factors, including COVID-19 concerns, that influenced VAS status in four sub-Saharan African countries. DESIGN: Data from eight representative household surveys were used to assess VAS coverage. Multivariable logistic regression models examined the effect of rural/urban residence, child sex and age, caregiver education, COVID-19 concern and household wealth on VAS status. SETTING: Nine (2019) and 12 (2020) districts in Burkina Faso, Côte d'Ivoire, Guinea and Mali. PARTICIPANTS: 28 283 caregivers of children aged 6-59 months. RESULTS: Between 2019 and 2020, VAS coverage increased in Burkina Faso (82·2-93·1 %), Côte d'Ivoire (90·3-93·3 %) and Mali (76·1-79·3 %) and decreased in Guinea (86·0 % to 81·7 %). Rural children had a higher likelihood of VAS uptake compared with urban children in Burkina Faso (adjusted OR (aOR) = 4·22; 95 % CI: 3·11, 5·72), Côte d'Ivoire (aOR = 5·19; 95 % CI: 3·10, 8·70) and Mali (aOR = 1·41; 95 % CI: 1·15, 1·74). Children aged 12-59 months had a higher likelihood of VAS uptake compared with children aged 6-11 months in Côte d'Ivoire (aOR = 1·67; 95 % CI: 1·12, 2·48) and Mali (aOR = 1·74; 95 % CI: 1·34, 2·26). Moderate-to-high COVID-19 concern was associated with a lower likelihood of VAS uptake in Côte d'Ivoire (aOR = 0·55; 95 % CI: 0·37, 0·80). CONCLUSION: The increase in VAS coverage from 2019 to 2020 suggests that COVID-19 concerns may not have limited VAS uptake in some African countries, though geographic inequities should be considered.

Using Novel Multimethod Evaluation Approaches to Understand Complex Food System Interventions: Insights from a Supply Chain Intervention Intended to Improve Nutrition.

Background: A "food system" approach to improve diet quality by intervening within areas such as food supply chains is gaining prominence. However, evidence of such interventions' impact, and understanding of appropriate methods to evaluate them, is lacking. Objectives: We present an impact evaluation of an intervention that aimed to increase consumption of nutritious foods by supporting food-producing firms in Kenya. In doing so, we demonstrate how multiple methods, including those from other disciplines, can be used to evaluate a complex food systems intervention. Methods: Four methods focused on food-producing firms and their management, including a survey of intervention participants (n = 83 individuals), a "laboratory-in-the-field" experiment (n = 83 individuals), baseline/endline data on firm performance (n = 71 firms), and semistructured interviews (n = 19 firms). Three methods focused on consumers in neighborhoods targeted by a supported firm: a randomized field experiment tested effects of making a supported product exhaustively available on consumers' purchases and consumption (n = 1295 consumers); 3 discrete choice experiments (n = 1295 consumers) tested factors influencing consumers' willingness to pay for foods with relevant characteristics. Results: Among firms, we saw suggestive evidence of increased networking and business relationships, while laboratory-in-the-field experiments indicated the intervention might foster cooperation among participants. Qualitative interviews suggested that the intervention enabled firms to increase production, improve management, increase revenues, and lower costs. Baseline/endline data confirmed a positive effect only on the launch of new products and hiring workers. In the field experiment, consumption of the supported product increased in areas where it was made available relative to a control group, but this did not increase overall consumption of the food type or dietary diversity. Conclusions: Results showed positive signs of the intervention improving firm-level outcomes but limited impact on consumers' diet quality. The evaluation also demonstrates how diverse methods can be used to evaluate complex interventions.

An Emergent Framework of the Market Food Environment in Low- and Middle-Income Countries.

BACKGROUND: Food systems are increasingly recognized as critical for advancing nutrition, and the food environment is viewed as the nexus between those systems and dietary consumption. Developing a measurement framework of the market food environment is a research priority, particularly for low- and middle-income countries (LMICs), which face rapid shifts in markets, dietary patterns, and nutrition outcomes. OBJECTIVES: In this study, we sought to assess current conceptions and measures of the market food environment that could be adapted for use in LMICs. METHODS: We conducted a narrative review of the literature to identify measures of the market food environment in recent use. First, we identified and reviewed frameworks of the food environment for LMICs with a specific focus on the market food environment. Second, we compiled 141 unique measures of the market food environment from 20 articles into a list that was pile-sorted by 5 nutrition experts into domains. We then categorized the measures based on percentage agreement across all sorts. Finally, we compared measured and conceptual domains of the market food environment to identify measurement gaps and needed adaptations. RESULTS: Conceptual frameworks provide differing definitions of the market food environment but conform in their definitions of food availability, price, marketing, and product characteristics. Greater clarity is needed in defining relevant vendor and product characteristics. Eight measured domains of the market food environment emerged from the literature review, with significant overlap among conceptual domains. Measurement gaps exist for food quality, safety, packaging, desirability, and convenience. Personal characteristics also emerged as measured domains, although these are not part of the food environment per se. CONCLUSIONS: These results are a step toward elucidating how, why, and where we measure the market food environment in LMICs. Future research should focus on prioritizing the most meaningful methods and metrics and on developing new measures where gaps exist.