Evidence map›Paper›PMID 41246199›Full record

ArticleDigital health

Feasibility and usability of a voice-based dietary recall tool in older adults: A pilot comparison with ASA-24.

Simone G Khandpekar, Rishank Singh, Caroline E Summerour, Jim Schwoebel, Xiaohui Liang, John A Batsis

Abstract read
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Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Simone G KhandpekarUniversity of North Carolina, Chapel Hill, Chapel Hill, NC, USA.ORCID https://orcid.org/0009-0001-5871-1097
Rishank SinghDepartment of Computer Science, University of Massachusetts Boston, Boston, USA.ORCID https://orcid.org/0009-0003-0223-2593
Caroline E SummerourCenter for Aging Health, UNC School of Medicine, Chapel Hill, NC, USA.ORCID https://orcid.org/0000-0002-6156-8324
Jim SchwoebelSonde Health Inc, Boston, MA, USA.ORCID https://orcid.org/0000-0002-5697-3894
Xiaohui LiangDepartment of Computer Science, University of Massachusetts Boston, Boston, USA.ORCID https://orcid.org/0000-0003-4064-2393
John A BatsisDepartment of Nutrition, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA.ORCID https://orcid.org/0000-0002-0845-4416

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Dietary assessment is important for identifying patterns that can influence an older adult's medical conditions. Existing assessments are dependent on the recall limit of the current use of dietary tools. This pilot study aimed to compare the short-term usability and acceptability of a novel voice-based dietary recall tool (DataBoard) to the traditional Automated Self-Administered Dietary Assessment Tool (ASA-24) in older adults. Methods: Participants aged over 65 years old, meeting specific criteria, were recruited through Research For Me and Research Match across a six-month period in 2023-2024. During the session on Zoom, they were randomly assigned to complete either a voice-based recall via DataBoard or use ASA-24 first, followed by a semi-structured interview. DataBoard enables survey completion using speech input through shared links. We obtained data on meal choices, participant feedback, and preferences for either method using a 1-10 rating scale (low to high agreement). Descriptive statistics and qualitative coding were conducted. Results: We recruited 20 participants (mean age 70.5 ± 4.26 years, 55% female and 35% non-White). Feasibility and acceptability of DataBoard's voice-based recall were rated as 7.95/10 and 7.6/10. Participants rated the overall performance of DataBoard as easier than the ASA-24, with an average rating of 6.7/10. Participants preferred using DataBoard; they felt it could be used more frequently to report food than ASA-24 (mean 7.2/10). Dedoose analysis revealed preferences, challenges, and usability insights for DataBoard. Conclusion: Older adults supported voice-based recall as a means to evaluate dietary intake. Further evaluation with larger cohorts of older adults could provide additional opportunities to create a better tool for food recall.

Indexed as

dietary assessmentdigital health toolnutrition surveillanceolder adultsVoice-based recall

Identifiers

PMID41246199
PMCPMC12612543

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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.