Pulse Brain · Growing Health Evidence Index
Tier 2 — RCT, large cohort or strong causal designPeer-reviewed

Inside the crowd: Assessing the suitability of SMS-based surveys to monitor the food security situation in Uganda

H. Baumüller; Lukas Kornher

Food Security · 2026

Read source ↗ All evidence

Summary

This study assessed the validity of SMS-based surveys as a rapid and cost-effective monitoring tool for food security in Uganda by conducting monthly surveys of 2,000 respondents over one year and triangulating results with face-to-face and phone survey data. The analysis found that SMS surveys can reliably detect changes in food security over time but are less accurate for measuring absolute food security status; questions about general food situation proved more reliable than those on dietary diversity or market prices. Even when samples showed selection bias in gender, location or age composition, they produced comparable trend estimates, though adequate sample size remained necessary for accuracy.

Regional applicability

This study was conducted in Uganda and directly addresses food security monitoring challenges in sub-Saharan Africa. The findings may have limited direct applicability to United Kingdom food security measurement, as the UK context differs substantially in phone penetration, food availability, and monitoring infrastructure; however, the methodological findings on SMS survey bias and validation approaches could inform rapid monitoring systems in resource-constrained settings or for hard-to-reach UK populations.

Key measures

Food security status, dietary diversity, food consumption, market prices, sample representativeness, selection bias, attrition, non-response bias, trends in food security over time

Outcomes reported

The study evaluated the suitability of SMS-enabled surveys for monitoring food security status and detecting changes over time in Uganda, comparing SMS survey responses with face-to-face household surveys and phone survey data to assess accuracy and bias.

Theme
Measurement & metrics
Subject
Food security & global nutrition
Study type
Research
Study design
Natural experiment / Observational cohort
Source type
Peer-reviewed study
Status
Published
Geography
Uganda
System type
Food supply chain
DOI
10.1007/s12571-026-01682-5
Catalogue ID
NRmupdc5m3-0bg

Topic tags

Pulse AI · ask about this record

Dig deeper with Pulse AI.

Ask about this record, its theme or its relevance to UK farming and policy. Pulse AI uses selected catalogue evidence and cites the sources it draws on.