Designing nutrition-sensitive agriculture (NSA) interventions with multi-criteria decision analysis (MCDA): a review. 2023

Arturo A Mayorga-Martínez, and Christopher Kucha, and Ebenezer Kwofie, and Michael Ngadi
Department of Bioresource Engineering, Macdonald Campus of McGill University, Canada.

Despite the efforts to end malnutrition through intensive agriculture of caloric crops, micronutrient deficiencies and other forms of malnutrition persist in vulnerable communities worldwide. Nutrition-sensitive agriculture (NSA) interventions are recognized as chances to address the causes of malnutrition. In this work, the different types of NSA interventions were explored, as well as the pathways through which they can improve nutrition (e.g., increasing biofortified crops and income generation via agricultural sales for a positive impact on access to nutritious foods, and simultaneously involving nutrition education to improve care practices and eventually nutritional status). Some NSA interventions focus on one pathway. Well-designed interventions, however, should follow multi-pathway approaches targeting the underlying causes of undernutrition within the selected population. The circumstances in which certain indicators should be used to measure the impact of an NSA intervention in each stage of the full pathway were also explained, as well as the need of enhancing the design of such interventions. Multi-criteria decision analysis (MCDA) has been employed to solve agriculture-related issues, but it has not been used to identify the optimal types of NSA interventions, metrics, and indicators based on the context of the community, priorities and objectives of the project managers and designers, etc.

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