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The problem
Intervention: Analysis of existing immunization data in relation to household characteristics (education, food security, water access, sanitation, housing) to identify barriers and associations
Who it was tested with: Children aged 12-23 months in three sub-counties (Alego Usonga, Nyakach, Butere) in Western Kenya, from 11,160 households.
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.
"The study design was analytical statistics utilising secondary data that was collected during a larger study on community health units' systems strengthening in three Sub Counties with a total number of 11,160 households." The study identifies associations between household factors and immunization coverage but cannot determine causation or test whether intervening on these factors would improve immunization rates.
Study uses secondary data and observational design without comparison or control groups, making it impossible to determine causation or establish whether these associations are due to confounding factors. The study does not report effect sizes or statistical measures of association strength.
Across countries and designs
1 study · 1 country
