Evidence map›Paper›PMID 41468586›Full record

ArticleJMIR human factors2025

User Preferences for an Image-Assisted Dietary Recall: Qualitative Study Comparing 3 Dietary Assessment Methods.

Janelle D Healy, Christina M Pollard, Clare E Collins, Barbara A Mullan, Megan E Rollo, Satvinder S Dhaliwal, Richard Norman, Sharon I Kirkpatrick, Tracy A McCaffrey, Clare Whitton and 3 more

Abstract read
In one paragraph

Article in JMIR human factors, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

13 authors.

Janelle D HealyCurtin School of Population Health, Curtin University, Perth, Western Australia, Australia.ORCID 0000-0002-5030-6919
Christina M PollardCurtin School of Population Health, Curtin University, Perth, Western Australia, Australia.ORCID 0000-0003-4261-4601
Clare E CollinsSchool of Health Sciences, College of Health, Medicine and Wellbeing, University of Newcastle Australia, Newcastle, New South Wales, Australia.ORCID 0000-0003-3298-756X
Barbara A MullanCurtin School of Population Health, Curtin University, Perth, Western Australia, Australia.ORCID 0000-0002-0177-8899
Megan E RolloCurtin School of Population Health, Curtin University, Perth, Western Australia, Australia.ORCID 0000-0003-1303-2063
Satvinder S DhaliwalCurtin School of Population Health, Curtin University, Perth, Western Australia, Australia.ORCID 0000-0002-4476-1042
Richard NormanCurtin School of Population Health, Curtin University, Perth, Western Australia, Australia.ORCID 0000-0002-3112-3893
Sharon I KirkpatrickSchool of Public Health Sciences, University of Waterloo, Waterloo, ON, Canada.ORCID 0000-0001-9896-5975
Tracy A McCaffreyDepartment of Nutrition, Dietetics and Food, Monash University, Melbourne, Victoria, Australia.ORCID 0000-0001-9699-3083
Clare WhittonCurtin School of Population Health, Curtin University, Perth, Western Australia, Australia.ORCID 0000-0003-1991-2432
Amira HassanCurtin School of Population Health, Curtin University, Perth, Western Australia, Australia.ORCID 0000-0001-7563-2457
Fengqing ZhuSchool of Electrical and Computer Engineering, Purdue University West Lafayette, West Lafayette, IN, United States.ORCID 0000-0002-3863-3220
Deborah A KerrCurtin School of Population Health, Curtin University, Perth, Western Australia, Australia.ORCID 0000-0002-1094-1299

Funding

Traditional and New Dietary Assessment Methods (TANDAM) for Personalized NutritionU24CA268228 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI EDWARD J DELP, MEGAN A MCCRORY · 2022 to 2026
$10.2M
Improving Dietary Assessment Methods Using the Cell Phone and Digital ImagingU01CA130784 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI BOUSHEY, CAROL J · 2007 to 2010
$2.1M
Improving Diet Assessment in AdolescentsR01DK073711 · NIDDK · PURDUE UNIVERSITY · PI BOUSHEY, CAROL J · 2007 to 2009
$904k
Improving Diet Assessment in AdolescentsR56DK073711 · NIDDK · PURDUE UNIVERSITY · PI EICHER-MILLER, HEATHER · 2010 to 2010
$562k
NCI NIH HHS U01 CA130784NCI NIH HHS U24 CA268228NIDDK NIH HHS R01 DK073711NIDDK NIH HHS R56 DK073711
6 · The paper itself

Abstract

backgroundTechnology-assisted 24-hour dietary recall (24HR) methods offer the potential for scalable population dietary assessment, but current challenges include balancing accuracy and cost against participant burden and acceptability of these methods. Qualitative methods present a novel approach to understanding potential barriers and enablers to the acceptability of 24HR methods, but remain relatively unexplored.

objectiveThis study aimed to explore users' experience, acceptability, and preferences for 3 technology-assisted 24HR methods.

methodsParticipants in a crossover controlled feeding study were invited to undertake a poststudy interview. Initially, the feeding study participants were randomized into one of three separate feeding days where they consumed breakfast, lunch, and dinner on a single day. On the following day, they undertook a 24HR via the Automated Self-Administered 24-hour Dietary Assessment Tool (ASA24), Intake24, or an Image-Assisted Interviewer-Administered 24-hour dietary recall (IA-24HR). When assigned to IA-24HR, participants viewed the images they captured with a mobile food record (mFR) app on the feeding day during the interview. On completing all 3 methods, 26 participants (ages 21 to 56 years) undertook semistructured interviews. The interview audio recordings were transcribed, and inductive content analysis was undertaken.

resultsOverall, participants wanted the 24HR methods to be easy, with the technology features of all methods considered helpful. A total of 5 content categories described users' experiences of the three 24HR methods: (1) "Put my food in the list," (2) "It's really hard to know portions," (3) ASA24 "was a painful process," (4) access to "images helped jog my memory," (5) Intake24 is "fairly quick," and (6) IA-24HR method preference. Participants expressed a preference for taking images with the mFR app. IA-24HR helped participants recall food and beverages consumed and increased perceptions of recall accuracy.

conclusionsThis novel qualitative research found that 24HR methods need to be as easy as possible for users. The participant burden of food and beverage identification and portion size estimation was evident across methods. Findings highlight the importance of using qualitative methods to explore user preferences for dietary assessment methods and confirm the need to reduce the user burden associated with 24HR methods. People want embedded technologies to enhance digitized versions of the traditional 24HR methods. The use of their own food images within the mFR app is an example of digital advancements within scalable 24-hour dietary assessments.

trial registrationAustralia New Zealand Clinical Trials Registry ACTRN12621000209897; www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=381165. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/32891.

Indexed as

Diet RecordsMental RecallPatient PreferenceAdultCross-Over StudiesFemaleHumansMaleMiddle AgedQualitative ResearchYoung Adult24-hour recallacceptabilityAutomated Self-Administered Dietary Assessment Toolcontrolled feedingimage-assisted dietary assessmentIntake24, mobile food recordinterviewmobile technologyqualitative research

Identifiers

PMID41468586
PMCPMC12811038

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.