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

TL;DR

This study compared three technology-assisted methods for dietary recall and found that users preferred methods that were easy to use and included image support to improve accuracy and reduce burden.

Contribution

The study introduces a novel qualitative approach to understanding user preferences for dietary recall methods, emphasizing the role of embedded technologies like image capture.

Findings

Participants preferred methods that were easy to use and included helpful technology features.

Using images from a mobile app improved participants' ability to recall food and beverage consumption.

User burden was evident across all methods, especially for identifying foods and estimating portion sizes.

Abstract

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 the acceptability of 24HR methods, but remain relatively unexplored.

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

Participants 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.

Overall, 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.

This 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.

Australia New Zealand Clinical Trials Registry ACTRN12621000209897; www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=381165

RR2-10.2196/32891