Trial reportThe Journal of nutrition2022
Respondent Fatigue Reduces Dietary Diversity Scores Reported from Mobile Phone Surveys in Ethiopia during the COVID-19 Pandemic.
Trial report in The Journal of nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed.
- Trial
- Conflict, mental health, and labor productivity: evidence from hired farm workers in Myanmar.BMC global and public health · 2026Article
- 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.Current developments in nutrition · 2026Article
- Establishing Psychometric Properties of the Modified Barriers Experienced in Providing Healthcare Instrument.Healthcare (Basel, Switzerland) · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe computer-assisted telephone interview (CATI) has been used extensively during the COVID-19 pandemic, but the effects of respondent fatigue during these interviews on responses to questions about diet are unknown.
objectivesWe designed an experiment that randomized the placement of a survey module on the dietary diversity of rural Ethiopian women and assessed whether responses were altered by placing this module earlier or later in a phone survey.
methodsTwo CATIs were implemented; in the second, women were randomly assigned to answer questions on diet diversity either earlier or later in the interview. Women's Dietary Diversity Scores were the primary outcome. Secondary outcomes were dichotomous measures of consumption from four or more and five or more food groups and consumption of food groups consumed frequently, often, and rarely. Impacts were assessed using a respondent fixed effects model.
resultsDelaying the food consumption module by 15 min in the interview led to an 8%-17% (P < 0.01) decrease in reported Dietary Diversity Scores, a 28% (P < 0.01) decrease in the number of women who consumed a minimum of four dietary groups, and a 40% (P < 0.01) and 11% (P < 0.01) decrease in the reporting of consumption of animal source foods and fruits and vegetables, respectively. Moving the food consumption module closer to the beginning of the interview increased the number of reported food groups consumed by older women, women with a below-median education level, and women in larger households.
conclusionsOur findings suggest that comparisons of descriptive statistics across studies and countries on metrics such as food security and dietary quality may be confounded by where these modules are placed in the interview, thus highlighting trade-offs between volume of information collected and data quality when designing CATI surveys.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.