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The problem
Intervention: Integrated maternal and child health services, specifically ensuring immunisation is a regular part of maternal care
Who it was tested with: Children aged 12-23 months whose mothers participated in East African Demographic and Health Surveys (n=13,488 weighted sample).
Experience from people who deliver programmes: stories, case studies and lessons learned. Valuable for understanding how and why, and for spotting what to test next, but not a measure of effect.
"Cross-sectional study using Demographic and Health Survey data" with "propensity score matching" to estimate "average treatment effect on the treated for complete child immunisation was 0.0583". Propensity score matching with cross-sectional data represents a quasi-experimental approach used to approximate causal effects from observational data, placing this above simple pre-post but below randomised designs.
Cross-sectional design prevents causal inference; relies on observational data with potential for unmeasured confounding despite propensity score matching; single time-point measurement of immunisation status
Across countries and designs
1 study · 1 country
