Evidence map›Paper›PMID 35276775›Full record

ArticleNutrients2022

A Mixed-Method Study Exploring Experiences and Perceptions of Nutritionists Regarding Use of an Image-Based Dietary Assessment System in Tanzania.

Naomi Saronga, Idda H Mosha, Samantha J Stewart, Saidah Bakar, Bruno F Sunguya, Tracy L Burrows, Germana H Leyna, Marc T P Adam, Clare E Collins, Megan E Rollo

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nutrients, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Observational
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 2 countries.

Naomi SarongaPriority Research Centre in Physical Activity and Nutrition, The University of Newcastle, Callaghan, NSW 2308, Australia.ORCID 0000-0002-7745-3329
Idda H MoshaDepartment of Behaviour Sciences, Muhimbili University of Health and Allied Sciences, Dar es Salaam P. O. Box 65015, Tanzania.ORCID 0000-0002-5550-1924
Samantha J StewartPriority Research Centre in Physical Activity and Nutrition, The University of Newcastle, Callaghan, NSW 2308, Australia.
Saidah BakarDepartment of Community Health, Muhimbili University of Health and Allied Sciences, Dar es Salaam P. O. Box 65015, Tanzania.
Bruno F SunguyaDepartment of Community Health, Muhimbili University of Health and Allied Sciences, Dar es Salaam P. O. Box 65015, Tanzania.ORCID 0000-0003-3625-0725
Tracy L BurrowsPriority Research Centre in Physical Activity and Nutrition, The University of Newcastle, Callaghan, NSW 2308, Australia.ORCID 0000-0002-1431-7864
Germana H LeynaTanzania Food and Nutrition Centre, Dar es Salaam P.O. Box 977, Tanzania.
Marc T P AdamPriority Research Centre in Physical Activity and Nutrition, The University of Newcastle, Callaghan, NSW 2308, Australia.ORCID 0000-0002-6036-4282
Clare E CollinsPriority Research Centre in Physical Activity and Nutrition, The University of Newcastle, Callaghan, NSW 2308, Australia.ORCID 0000-0003-3298-756X
Megan E RolloPriority Research Centre in Physical Activity and Nutrition, The University of Newcastle, Callaghan, NSW 2308, Australia.ORCID 0000-0003-1303-2063
Muhimbili University of Health and Allied Sciences · TZHunter Medical Research Institute · AUUniversity of Newcastle Australia · AU

Funding

Bill & Melinda Gates Foundation OPP1171389
6 · The paper itself

Abstract

Due to global advances in technology, image-based food record methods have emerged as an alternative to traditional assessment methods. The use of image-based food records in low and lower-middle income countries such as Tanzania is limited, with countries still using traditional methods. The current study aimed to determine the feasibility of using a new voice and image-based dietary assessment system (VISIDA) in Dar es Salaam, Tanzania. This mixed-method study recruited 18 nutritionists as participants who collected image-based records of food and drinks they consumed using the VISIDA smartphone app. Participants viewed an online demonstration of the VISIDA web platform and the analysis process for intake data collected using the VISIDA app. Then, participants completed an online survey and were interviewed about the VISIDA app and web platform for food and nutrient intake analysis. The method was reported as being acceptable and was found to be easy to use, although technical challenges were experienced by some participants. Most participants indicated a willingness to use the VISIDA app again for one week or longer and were interested in using the VISIDA system in their current role. Participants acknowledged that the VISIDA web platform would simplify some aspects of their current job. Image-based food records could potentially be used in Tanzania to improve the assessment of dietary intake by nutritionists in urban areas. Participants recommended adding sound-on notifications, using the VISIDA app in both Apple and Android phones, enabling installation from the app store, and improving the quality of the fiducial markers.

Indexed as

Nutrition AssessmentNutritionistsDiet RecordsEnergy IntakeHumansTanzaniadietary assessmentdietary intakeimage-based food recordlow and lower middle-income countriestechnology

Identifiers

PMID35276775
PMCPMC8838775
OpenAlexW4205314747

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.