ArticlePublic health nutrition2023
Behavioural drivers of child feeding during and after illness in the Democratic Republic of the Congo: results from a qualitative study through the lens of behavioural science.
Article in Public health nutrition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
objectiveFor young children experiencing an illness, adequate nutrition is critical for recovery and to prevent malnutrition, yet many children do not receive the recommended quantities of food during illness and recuperation. Our research applied a behavioural science lens to identify drivers of feeding behaviours, including barriers inhibiting caregivers from following the feeding guidelines.
designIn 2021, we conducted qualitative research informed by the behavioural design process. Data from in-depth interviews and observations were analysed for themes.
settingResearch was conducted in South Kivu, Democratic Republic of the Congo.
participantsResearch participants included caregivers of young children, other family members, health workers and other community members.
resultsFive key findings about behavioural drivers emerged: (1) poverty and scarcity impose practical constraints and a cognitive and emotional burden on caregivers; (2) health providers are distracted and discouraged from counselling on feeding during sick visits; (3) a focus on quality and hesitations about quantity obscure benefits of feeding greater amounts of available foods; (4) perceptions of inappropriate foods limit caregivers' choices; and (5) deference to a child's limited appetite leads to missed opportunities to encourage them to eat.
conclusionsEach of these behavioural drivers is triggered by one or more addressable features in caregivers' and health workers' environment, suggesting concrete opportunities for programmes to support caregivers and health workers to improve feeding of young children during illness and recovery. In other settings where these features of the environment are similar, the insights and programming implications are likely to translate.
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