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Accepted for/Published in: JMIR Human Factors

Date Submitted: Jun 25, 2025
Date Accepted: Nov 26, 2025

The final, peer-reviewed published version of this preprint can be found here:

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

Healy JD, Pollard CM, Collins CE, Mullan BA, Rollo ME, Dhaliwal SS, Norman R, Kirkpatrick SI, McCaffrey TA, Whitton C, Hassan A, Zhu F, Kerr DA

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

JMIR Hum Factors 2025;12:e79565

DOI: 10.2196/79565

PMID: 41468586

PMCID: 12811038

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

User preferences for an image-assisted dietary recall: A qualitative comparison between three 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; 
  • Amira Hassan; 
  • Fengqing Zhu; 
  • Deborah A Kerr

ABSTRACT

Background:

Technology-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 acceptability of 24-hour dietary recall (24HR) methods but remain relatively unexplored.

Objective:

to explore users’ experience, acceptability and preferences for three technology-assisted 24-hour dietary recall (24HR) methods.

Methods:

Participants in a cross-over controlled feeding study were invited to undertake a post-study interview. Initially, 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 24HR (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 three methods, 26 participants (21 to 56 years) undertook semi-structured interviews. Inductive content analysis was conducted using the transcribed audio recordings.

Results:

Overall, participants wanted the 24HR methods to be easy, with the technology features of all methods considered helpful. Five 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”; and 5) Intake24 is “fairly quick”. Participants expressed a preference for taking images with the mFR app and having access to images during the recall process. IA-24HR helped participants recall food and beverages consumed and increased perceptions of recall accuracy.

Conclusions:

This novel qualitative research found 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 user burden associated with 24HR methods. Clinical Trial: Australia New Zealand Clinical Trials Registry Number ACTRN12621000209897.


 Citation

Please cite as:

Healy JD, Pollard CM, Collins CE, Mullan BA, Rollo ME, Dhaliwal SS, Norman R, Kirkpatrick SI, McCaffrey TA, Whitton C, Hassan A, Zhu F, Kerr DA

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

JMIR Hum Factors 2025;12:e79565

DOI: 10.2196/79565

PMID: 41468586

PMCID: 12811038

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