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Strengths and limitations of computer assisted telephone interviews (CATI) for nutrition data collection in rural Kenya

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Title Strengths and limitations of computer assisted telephone interviews (CATI) for nutrition data collection in rural Kenya
 
Creator Lamanna, Christine
Hachhethu, Kusum
Chesterman, Sabrina
Singhal, Gaurav
Mwongela, Beatrice
Ng’endo, Mary
Passeri, Silvia
Farhikhtah, Arghanoon
Kadiyala, Suneetha
Bauer, Jean-Martin
Rosenstock, Todd
 
Subject AGRICULTURE
FOOD SECURITY
CLIMATE CHANGE
NUTRITION
DROUGHT
SURVEYS
 
Description Despite progress in fighting undernutrition, Africa has the highest rates of undernutrition globally, exacerbated by drought and conflict. Mobile phones are emerging as a tool for rapid, cost effective data collection at scale in Africa, as mobile phone subscriptions and phone ownership increase at the highest rates globally. To assess the feasibility and biases of collecting nutrition data via computer assisted telephone interviews (CATI) to mobile phones, we measured Minimum Dietary Diversity for Women (MDD-W) and Minimum Acceptable Diet for Infants and Young Children (MAD) using a one-week test-retest study
on 1,821 households in Kenya. Accuracy and bias were assessed by comparing individual scores and population prevalence of undernutrition collected via CATI with data collected via traditional face-to-face (F2F) surveys. We were able to reach 75% (n = 1366) of study participants via CATI. Women’s reported nutrition scores did not change with mode for MDD-W, but children’s nutrition scores were significantly higher when measured via CATI for both the dietary diversity (mean increase of 0.45 food groups, 95% confidence interval 0.34–0.56) and meal frequency (mean increase of 0.75 meals per day, 95% confidence interval 0.53–0.96) components of MAD. This resulted in a 17% higher inferred prevalence of adequate diets for infants and young children via CATI. Women without mobile-phone access were younger and had fewer assets than women with access, but only marginally lower dietary diversity, resulting in a small non-coverage bias of 1–7% due to exclusion of participants without mobile phones. Thus, collecting nutrition data from rural women in Africa with mobile phones may result in 0% (no change) to as much as 25% higher nutrition estimates than collecting that information in face-to-face interviews.
Peer Review
 
Date 2019-12-03T15:32:44Z
2019-12-03T15:32:44Z
2019-01-30
 
Type Journal Article
 
Identifier Lamanna C, Hachhethu K, Chesterman S, Singhal G, Mwongela B, Ng’endo M, Passeri S, Farhikhtah A, Kadiyala S, Bauer JM, Rosenstock T. 2019. Strengths and limitations of computer assisted telephone interviews (CATI) for nutrition data collection in rural Kenya. Plos One 14(1):e0210050.
1932-6203
https://hdl.handle.net/10568/106002
 
Language en
 
Rights CC-BY-4.0
 
Format e0210050
 
Source Plos One