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Factors associated with nutrition intervention adherence

Evidence from a cluster‐randomised controlled trial in Kenya

Bibliographic Data

ID15535470
AuthorsKim Siegal (Masinde Muliro University of Science and Technology), Kelvin Musau (0000-0002-2932-7520, Masinde Muliro University of Science and Technology, corresponding author), Bradley A Woodruff (0000-0002-1921-5592, GroundWork Fläsch Switzerland), Emily Custer (Masinde Muliro University of Science and Technology), Lucie Vergari (Masinde Muliro University of Science and Technology), Hellen Anyango (Masinde Muliro University of Science and Technology), William Donkor (0000-0002-9339-5501, GroundWork Fläsch Switzerland), Marion Kiprotich (0000-0003-4373-1252, Masinde Muliro University of Science and Technology), Fabian Rohner (0000-0003-0579-6952, GroundWork Fläsch Switzerland), Rita Wegmüller (0000-0002-0269-1939, GroundWork Fläsch Switzerland)
Year2022
Volume19
Issue2
Pagese13467-e13467
Publication date2022-12-12
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueMaternal and Child Nutrition (JOURNAL)
Journal identifiersISSN: 1740-8695 • E-ISSN: 1740-8709
PublisherWiley (PUBLISHER • GB)
DOI10.1111/mcn.13467
PMID36507550
OpenAlexW4311203638
LanguageEN
References cited26

Nutrition experts point to the importance of a multipronged approach to address high stunting rates in rural areas. This can include nutrition-specific and -sensitive interventions, such as the provision of micronutrient powder, eggs, and chlorine, and nutrition training to improve feeding practices. In 2018, an agricultural nongovernmental organisation initiated a multipronged approach as part of a randomised trial. However, adherence to a programme with so many components can be challenging for participants. The aim of this study is to understand which factors are associated with high adherence in complex multifaceted nutrition-sensitive agricultural programmes. We used a mixed method approach in which we used bivariate and multivariable analyses to estimate the relationship between child and caregiver demographic factors with product adherence. We analyzed data from six focus groups and 120 feedback sessions on barriers to product adherence. We found that the age and sex of the child did not influence product adherence, but caregivers were more likely to adhere to all products if they were not the child's biological mother (most often grandmothers) (0.28 higher adherence score; p < 0.001) and if caregivers were older (0.34 higher adherence score, p < 0.001). A higher monthly training attendance, combining product distribution and interactive training, predicted stronger product adherence. Participants noted that adherence was supported by the early demonstration of positive results, regular reminders, interactive trainings, and the encouragement of family members. These findings underscore the importance of combining product distribution with training and include potentially targeting grandmothers and other caregivers who may demonstrate higher product adherence

Attendance · Environmental health · Family medicine · Intervention (counseling · Micronutrient · Psychological intervention · Randomized controlled trial · Child Nutrition and Water Access · ICT in Developing Communities · Medicine · Nursing · Gerontology · Internal Medicine

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