Strengths and limitations of computer assisted telephone interviews (CATI) for nutrition data collection in rural Kenya
| Autor: | Kusum Hachhethu, Gaurav Singhal, Christine Lamanna, Suneetha Kadiyala, Jean-Martin Bauer, Sabrina Chesterman, Silvia Passeri, Todd S. Rosenstock, Mary Ng’endo, Arghanoon Farhikhtah, Beatrice Mwongela |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Male
Rural Population 020205 medical informatics Physiology 02 engineering and technology Surveys Geographical Locations Food group Families 0302 clinical medicine Phone Medicine and Health Sciences 0202 electrical engineering electronic engineering information engineering 030212 general & internal medicine Young adult Child Children education.field_of_study Multidisciplinary Middle Aged Nutrition Surveys Research Design Engineering and Technology Medicine Female Infants Research Article Adult Adolescent Science Population Nutritional Status Equipment Research and Analysis Methods Interviews as Topic Young Adult 03 medical and health sciences medicine Humans education Nutrition Communication Equipment Survey Research Data collection business.industry Malnutrition Food Consumption Reproducibility of Results Biology and Life Sciences medicine.disease Kenya Confidence interval Diet Age Groups Mobile phone People and Places Africa Population Groupings Cell Phones Physiological Processes business Cell Phone Demography |
| Zdroj: | PLoS ONE, Vol 14, Iss 1, p e0210050 (2019) PLoS ONE |
| ISSN: | 1932-6203 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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