Evidence map›Paper›PMID 39323432›Full record

ArticleDigital health

Navigating healthier beverage consumption in adolescents using the "R-Ma Bot" chatbot: A usability and evaluation study.

Jisu Lee, Hyeonkyeong Lee, Hyeyeon Lee

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 2 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

4 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Twenty years of behavioral nutrition- A reflection on the road less travelled.The international journal of behavioral nutrition and physical activity · 2025
    Article
  4. 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

3 authors.

Jisu LeeMo-Im Kim Nursing Research Institute, College of Nursing, Yonsei University, Seoul, South Korea.
Hyeonkyeong LeeMo-Im Kim Nursing Research Institute, College of Nursing, Yonsei University, Seoul, South Korea.ORCID https://orcid.org/0000-0001-9558-7737
Hyeyeon LeeMo-Im Kim Nursing Research Institute, College of Nursing, Yonsei University, Seoul, South Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This pilot study aimed to evaluate the usability and effectiveness of a behavior change technique (BCT)-based chatbot developed to promote healthier beverage consumption among adolescents. Methods: The Read and Manage your health roBot ("R-Ma Bot"), designed with 13 BCTs, was tested with 42 adolescents (13 men, 29 women, mean age 15.0 ± 0.7) for 2 weeks. Usability was assessed after the 2-week intervention using a chatbot usability questionnaire, recruitment, retention, participation, and engagement. Scores above 70 out of 100 were considered high usability. Qualitative data from open-ended questions were collected for evaluation. Effectiveness was measured by changes in knowledge, use and impact of nutrition labels, and weekly consumption of sugar, sodium, and caffeine from carbonated and/or energy drinks before and after the 2-week intervention. Results: The score of R-Ma Bot's usability averaged 74.7, with participants addressing it useful, friendly, and easy to use, though they suggested improving unnatural conversation flow. All participants engaged with the chatbot for at least 13 out of 14 days, with over half using it daily for the entire period. After intervention, awareness of nutrition labels increased from 64.3% to 92.9%, and nonreaders decreased from 42.9% to 16.7%. Weekly sugar intake from beverages significantly decreased by 60%, from 13.1 ± 20.1 mg to 7.9 ± 12.8 mg. Conclusions: R-Ma Bot's high usability contributed to high retention and behavioral changes, significantly reduced sugar consumption from beverages and improved awareness of nutrition labels. We suggest integrating strategies that enhance knowledge, motivation, and opportunities through BCTs with youth-friendly design elements in the development of interventions for adolescents.

Indexed as

Adolescentsartificial intelligencebehavior changedietpublic health

Identifiers

PMID39323432
PMCPMC11423371

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.