Strengths and limitations of computer assisted telephone interviews (CATI) for nutrition data collection in rural Kenya
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...
| Main Authors: | , , , , , , , , , , |
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| Format: | Journal Article |
| Language: | Inglés |
| Published: |
Public Library of Science
2019
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/106002 |
| _version_ | 1855528623852748800 |
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| author | Lamanna, Christine Hachhethu, Kusum Chesterman, Sabrina Singhal, Gaurav Mwongela, Beatrice Ng'endo, Mary Passeri, Silvia Farhikhtah, Arghanoon Kadiyala, Suneetha Bauer, Jean-Martin Rosenstock, Todd S. |
| author_browse | Bauer, Jean-Martin Chesterman, Sabrina Farhikhtah, Arghanoon Hachhethu, Kusum Kadiyala, Suneetha Lamanna, Christine Mwongela, Beatrice Ng'endo, Mary Passeri, Silvia Rosenstock, Todd S. Singhal, Gaurav |
| author_facet | Lamanna, Christine Hachhethu, Kusum Chesterman, Sabrina Singhal, Gaurav Mwongela, Beatrice Ng'endo, Mary Passeri, Silvia Farhikhtah, Arghanoon Kadiyala, Suneetha Bauer, Jean-Martin Rosenstock, Todd S. |
| author_sort | Lamanna, Christine |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| 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. |
| format | Journal Article |
| id | CGSpace106002 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2019 |
| publishDateRange | 2019 |
| publishDateSort | 2019 |
| publisher | Public Library of Science |
| publisherStr | Public Library of Science |
| record_format | dspace |
| spelling | CGSpace1060022025-12-08T09:54:28Z Strengths and limitations of computer assisted telephone interviews (CATI) for nutrition data collection in rural Kenya Lamanna, Christine Hachhethu, Kusum Chesterman, Sabrina Singhal, Gaurav Mwongela, Beatrice Ng'endo, Mary Passeri, Silvia Farhikhtah, Arghanoon Kadiyala, Suneetha Bauer, Jean-Martin Rosenstock, Todd S. agriculture food security climate change nutrition drought surveys 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. 2019-01-30 2019-12-03T15:32:44Z 2019-12-03T15:32:44Z Journal Article https://hdl.handle.net/10568/106002 en Open Access Public Library of Science 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. |
| spellingShingle | agriculture food security climate change nutrition drought surveys Lamanna, Christine Hachhethu, Kusum Chesterman, Sabrina Singhal, Gaurav Mwongela, Beatrice Ng'endo, Mary Passeri, Silvia Farhikhtah, Arghanoon Kadiyala, Suneetha Bauer, Jean-Martin Rosenstock, Todd S. Strengths and limitations of computer assisted telephone interviews (CATI) for nutrition data collection in rural Kenya |
| title | Strengths and limitations of computer assisted telephone interviews (CATI) for nutrition data collection in rural Kenya |
| title_full | Strengths and limitations of computer assisted telephone interviews (CATI) for nutrition data collection in rural Kenya |
| title_fullStr | Strengths and limitations of computer assisted telephone interviews (CATI) for nutrition data collection in rural Kenya |
| title_full_unstemmed | Strengths and limitations of computer assisted telephone interviews (CATI) for nutrition data collection in rural Kenya |
| title_short | Strengths and limitations of computer assisted telephone interviews (CATI) for nutrition data collection in rural Kenya |
| title_sort | strengths and limitations of computer assisted telephone interviews cati for nutrition data collection in rural kenya |
| topic | agriculture food security climate change nutrition drought surveys |
| url | https://hdl.handle.net/10568/106002 |
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