Statistical analysis plan for cluster randomised trial to evaluate a community-level complementary food safety and hygiene and nutrition intervention in Mali: the MaaCiwara study

Author:

Quinn LauraORCID,Martin James,Asamane Evans,Manaseki-Holland Semira,Lilford Richard J.,Traore Lacina,Thompson Jacqueline,Watson Samuel I.,Hemming Karla

Abstract

Abstract Background Diarrheal disease is a significant cause of morbidity and mortality in under-fives in many low- and middle-income countries. Changes in food safety, hygiene practices, and nutrition around the weaning period may reduce the risk of disease and improve infant development. The MaaCiwara study aims to evaluate the effectiveness of a community-based educational intervention designed to improve food safety and hygiene behaviours, as well as child nutrition. This update article describes the statistical analysis plan for the MaaCiwara study in detail. Methods and design The MaaCiwara study is a parallel group, two-arm, superiority cluster randomised controlled trial with baseline measures, involving 120 clusters of rural and urban communities. These clusters are randomised to either receive the community-based behaviour change intervention or to the control group. The study participants will be mother–child pairs, with children aged between 6 and 36 months. Data collection involves a day of observation and interviews with each participating mother–child pair, conducted at baseline, 4 months, and 15 months post-intervention. The primary analysis aims to estimate the effectiveness of the intervention on changes to complementary food safety and preparation behaviours, food and water contamination, and diarrhoea. The primary outcomes will be analysed generalised linear mixed models, at individual level, accounting for clusters and rural/urban status to estimate the difference in outcomes between the intervention and control groups. Secondary outcomes include maternal autonomy, enteric infection, nutrition, child anthropometry, and development scores. In addition, structural equation analysis will be conducted to examine the causal relationships between the different outcomes. Trial registration International Standard Randomised Controlled Trial Number (ISRCTN) register: ISRCTN14390796. Registered on 13 December 2021.

Funder

Medical Research Council (MRC), UK Research and Innovation (UKRI) Global Challenges Research Fund

Publisher

Springer Science and Business Media LLC

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