ArticleCurrent developments in nutrition2026
A Novel Automated Participant-Recorded Dietary Data Collection Method Using Low-Cost Mobile Phones and Interactive Voice Response with Low-Literacy Women: A Validation Study in Rural Uganda.
Article in Current developments in nutrition, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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Who cites it
1 citing paper in PubMed.
- Digital and Technology-Enabled Approaches in Dietary Assessment: Addressing Bias, Error, and Feasibility in Population- and Community-Based Research.Advances in nutrition (Bethesda, Md.) · 2026Review
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6 authors.
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Abstract
Background: Dietary data gaps limit the design of effective food policies and programs in low- and middle-income countries. Automated mobile phone-based tools offer an opportunity to fill data gaps using less resources compared with face-to-face methods, especially for high-frequency dietary quality monitoring in resource-constrained environments. Objectives: This study assessed the validity of automated participant-recorded dietary data via interactive voice response (IVR) on basic mobile phones to assess dietary quality among rural women in a sub-Saharan African context, against same-day gold standard observed weighed food records. Methods: Automated IVR collected list-based recalls of food groups consumed in the last 24 h using yes or no push-button response from 156 randomly selected women in rural Northern Uganda (wet season). Inter-method agreement was assessed by comparing mean women's dietary diversity scores (WDDS) using Weighted Cohen's kappa, Bland-Altman plots, and Wilcoxon signed-rank test. Agreement in percentage achieving minimum dietary diversity scores for women (MDD-W) and consumption of unhealthy foods and beverages was tested using Cohen's kappa and McNemar's test. Results: Most women (74.4%) completed the IVR, with completion associated with better network coverage and prior positive mobile phone experience. Compared with the weighed food records, agreement for the IVR was moderate for MDD-W (21.6% compared with 17.2%; Conclusions: This study highlights the potential of collecting data from low-literate women in rural resource-scarce settings using IVR via basic mobile phones to estimate population-level MDD-W, WDDS, and percentage consuming unhealthy foods and beverages. Given the need for participant training, IVR may be best suited to high-frequency monitoring of sentinel groups across time. Further refinement of the IVR may improve food group reporting, reducing trade-offs between operational simplicity and accuracy. With appropriate adaptation, we expect this method is generalizable to other settings.
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