Evidence map›Paper›PMID 28854993›Full record

ArticlePublic health nutrition2018

Smartphone tool to collect repeated 24 h dietary recall data in Nepal.

Helen Harris-Fry, B James Beard, Tom Harrisson, Puskar Paudel, Niva Shrestha, Sonali Jha, Bhim P Shrestha, Dharma S Manandhar, Anthony Costello, Naomi M Saville

Open access · bronzeAbstract read
In one paragraph

Article in Public health nutrition, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.5field-weighted citation impact, top 11% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 33 citations in OpenAlex.

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  11. Validation of the INDDEX24 mobile appThe British journal of nutrition · 2022
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 3 countries.

Helen Harris-Fry1London School of Hygiene and Tropical Medicine,Keppel Street,London WC1E 7HT,UK.ORCID 0000-0003-2367-908X
B James Beard1London School of Hygiene and Tropical Medicine,Keppel Street,London WC1E 7HT,UK.
Tom Harrisson2Institute for Global Health,University College London,London,UK.
Puskar Paudel3Mother and Infant Research Activities,Kathmandu,Nepal.
Niva Shrestha1London School of Hygiene and Tropical Medicine,Keppel Street,London WC1E 7HT,UK.
Sonali Jha3Mother and Infant Research Activities,Kathmandu,Nepal.
Bhim P Shrestha3Mother and Infant Research Activities,Kathmandu,Nepal.
Dharma S Manandhar3Mother and Infant Research Activities,Kathmandu,Nepal.
Anthony Costello4Maternal, Child and Adolescent Health,World Health Organization,Geneva,Switzerland.
Naomi M Saville2Institute for Global Health,University College London,London,UK.
Mother and Infant Research Activities · NPUniversity of London · GBThe George Institute for Global Health · GBWorld Health Organization · CH

Funding

World Health Organization 001
6 · The paper itself

Abstract

objectiveTo outline the development of a smartphone-based tool to collect thrice-repeated 24 h dietary recall data in rural Nepal, and to describe energy intakes, common errors and researchers' experiences using the tool.

designWe designed a novel tool to collect multi-pass 24 h dietary recalls in rural Nepal by combining the use of a CommCare questionnaire on smartphones, a paper form, a QR (quick response)-coded list of foods and a photographic atlas of portion sizes. Twenty interviewers collected dietary data on three non-consecutive days per respondent, with three respondents per household. Intakes were converted into nutrients using databases on nutritional composition of foods, recipes and portion sizes.

settingDhanusha and Mahottari districts, Nepal. SUBJECTS: Pregnant women, their mothers-in-law and male household heads. Energy intakes assessed in 150 households; data corrections and our experiences reported from 805 households and 6765 individual recalls.

resultsDietary intake estimates gave plausible values, with male household heads appearing to have higher energy intakes (median (25th-75th centile): 12 079 (9293-14 108) kJ/d) than female members (8979 (7234-11 042) kJ/d for pregnant women). Manual editing of data was required when interviewers mistook portions for food codes and for coding items not on the food list. Smartphones enabled quick monitoring of data and interviewer performance, but we initially faced technical challenges with CommCare forms crashing.

conclusionsWith sufficient time dedicated to development and pre-testing, this novel smartphone-based tool provides a useful method to collect data. Future work is needed to further validate this tool and adapt it for other contexts.

Indexed as

DietMental RecallSmartphoneAdolescentAdultCross-Sectional StudiesFamily CharacteristicsFemaleHumansMaleMiddle AgedNepalNutrition AssessmentPhotographyPortion SizePregnancyData collectionDietary recallElectronic data captureNutritionSmartphones

Identifiers

PMID28854993
PMCPMC10261075
OpenAlexW2751460655

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.