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


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2019
Historique:
received: 05 07 2017
accepted: 17 12 2018
entrez: 31 1 2019
pubmed: 31 1 2019
medline: 1 10 2019
Statut: epublish

Résumé

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.

Identifiants

pubmed: 30699207
doi: 10.1371/journal.pone.0210050
pii: PONE-D-17-25337
pmc: PMC6353544
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0210050

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

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Auteurs

Christine Lamanna (C)

World Agroforestry Centre, Nairobi, Kenya.

Kusum Hachhethu (K)

Vulnerability, Analysis, and Mapping Unit, United Nations World Food Programme, Rome, Italy.
Nutrition Division, United Nations World Food Programme, Rome, Italy.

Sabrina Chesterman (S)

World Agroforestry Centre, Nairobi, Kenya.
Department of Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom.

Gaurav Singhal (G)

Vulnerability, Analysis, and Mapping Unit, United Nations World Food Programme, Rome, Italy.

Beatrice Mwongela (B)

Kenya Country Office, United Nations World Food Programme, Nairobi, Kenya.

Mary Ng'endo (M)

World Agroforestry Centre, Nairobi, Kenya.

Silvia Passeri (S)

Vulnerability, Analysis, and Mapping Unit, United Nations World Food Programme, Rome, Italy.
Nutrition Division, United Nations World Food Programme, Rome, Italy.

Arghanoon Farhikhtah (A)

Nutrition Division, United Nations World Food Programme, Rome, Italy.

Suneetha Kadiyala (S)

Department of Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom.

Jean-Martin Bauer (JM)

Vulnerability, Analysis, and Mapping Unit, United Nations World Food Programme, Rome, Italy.
United Nations World Food Programme, Brazzaville, Republic of the Congo.

Todd S Rosenstock (TS)

CGIAR Research Program on Climate Change, Agriculture, and Food Security, Kinshasa, Democratic Republic of the Congo.
World Agroforestry Centre, Kinshasa, Democratic Republic of the Congo.

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