A novel automated participant-recorded dietary data collection method using low-cost mobile phones and Interactive Voice Response (IVR) with low-literacy women: a validation study in rural Uganda

BackgroundDietary data gaps limit the effectiveness of food policies and programmes in low-and middle-income countries (LMICs). Automated mobile phone-based tools could fill data gaps at reduced time and cost compared with face-to-face methods, especially for high-frequency dietary quality monitoring in resource-constrained environments. ObjectiveThis study assessed the validity of automated participant-recorded Interactive Voice Response (IVR) 24-hour dietary recalls to assess dietary quality amongst marginalised rural women in a sub-Sahara African context, against same-day gold standard observed weighed food records (WFR). MethodsAutomated IVR with push-button response on basic mobile phones collected semi-quantitative list-based 24-hour dietary recalls from 156 randomly selected women in rural Northern Uganda during the wet season. Inter-method agreement was assessed by comparing mean womens dietary diversity scores (WDDS), the percentage achieving minimum DDS for women (MDD-W), and consumption of unhealthy foods and beverages. ResultsMost women (74.4%) completed the IVR. Compared with the WFR, agreement for the IVR was moderate for MDD-W (21.6% vs. 15.5%; kappa=0.52; area under the curve=0.80), mean WDDS (3.3 vs. 3.5; weighted kappa=0.41), and unhealthy food (34.5% vs 23.3%; kappa=0.44) and beverage consumption (32.8% vs 31.9%; kappa=0.43). ConclusionThis is the first study to validate the use of IVR via basic mobile phones to collect dietary data to estimate population-level MDD-W, WDDS and percentage consuming unhealthy foods and beverages amongst marginalised rural women in sub-Saharan Africa. With provision of short participant training, results indicate this innovative automated method can be used in place of enumerator-administered methods for monitoring key dietary quality indicators widely used in LMICs with low-literate, rural women in Uganda. HighlightsO_LIThis is the first study to validate the use of Interactive Voice Response (IVR) to collect dietary data from digitally marginalised rural women in a sub-Saharan African context, for estimating key international dietary quality indicators widely used in LMICs - MDD-W, WDDS, and the percentage consuming unhealthy foods and beverages C_LIO_LIThis innovative method can be used in place of conventional enumerator-administered methods, after contextualisation and training participants on its use C_LIO_LISuch methods can help fill critical data gaps on dietary quality with low-literate women in resource-scarce settings C_LI O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=117 SRC="FIGDIR/small/25333742v1_ufig1.gif" ALT="Figure 1"> View larger version (55K): org.highwire.dtl.DTLVardef@bcff11org.highwire.dtl.DTLVardef@dda65org.highwire.dtl.DTLVardef@17d565corg.highwire.dtl.DTLVardef@1b0c124_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOFigure 0:C_FLOATNO Graphical abstract C_FIG