When implementing interventions integrating nutrition, health, and early childhood development, evaluation studies of effectiveness that assess the intermediate and ultimate impacts on the four domains of food and nutrition, family care, health, and child development are needed. Such studies should demonstrate impact, both benefits and potential harms, and understand mechanisms through which impact has been achieved. This article reviews and suggests measures and indicators suitable for use in evaluation studies of effectiveness of integrated interventions for children under 5 years of age. Within each of the four domains, multiple constructs and subconstructs were considered. For each construct and subconstruct, we identified measures and indicators, using several search processes, and reviewed them in relation to validity, responsiveness to intervention inputs and activities, equivalence in constructs and items across contexts with appropriate adaptation, and feasibility for use in effectiveness studies. Suggested measures and indicators for each domain, construct, and subconstruct are tabulated and described. We discuss the strengths and weaknesses of measures and indicators across domains and constructs, further research establishing validity, and guidance on adaptation of measures to particular contexts.
Background
Behavioral change communication (BCC) promotes skills and knowledge to improve infant and young child feeding, but without additional material inputs, recipients must develop strategies to translate knowledge into action. Using data from the Alive & Thrive initiative in Bangladesh (2010–2014), we aimed to test whether households receiving the intensive intervention (opposed to the nonintensive intervention) increased expenditures on key foods for mothers and children (e.g., foods that were promoted by the intervention and also changed in maternal and child diets).
Methods
The intensive intervention provided interpersonal counseling, community mobilization, and mass media campaigns to promote breastfeeding and complementary feeding. A cluster-randomized design compared 20 subdistricts randomly assigned to the intensive (4281 households) or nonintensive (4284 households) intervention. Measures included food and nonfood expenditures, dietary diversity, and women's economic resources. Linear and logistic regression tested difference-in-differences (DD) in expenditures and dietary diversity, accounting for subdistricts as clusters, and the association between maternal and child consumption of specific food groups and corresponding food expenditures.
Results
Expenditures on eggs and flesh foods increased more in intensive areas than in nonintensive areas by 53 (P < 0.01) and 471 (P < 0.01) taka/mo, respectively. Household food expenditures increased more in intensive areas by 832 taka (P = 0.02), whereas changes in nonfood expenditures did not differ. Women's employment and control of income increased more in intensive areas by 12 (P = 0.03) and 13 (P < 0.01) percentage points, respectively, while jewelry ownership decreased more by 23 percentage points (P < 0.01). Higher expenditures on food groups were reflected in higher consumption by women and children.
Conclusions
Recipients in the intensive intervention mobilized additional resources to improve diets, reflected in increased expenditures and consumption of promoted foods. BCC interventions should document how recipients produce desired results without additional material inputs, particularly for behaviors that likely require additional resources. This trial was registered at clinicaltrials.gov as NCT01678716.
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