Evidence map›Paper›PMID 38303969›Full record

ArticleDigital health

Development of a dental diet-tracking mobile app for improved caries-related dietary behaviours: Key features and pilot evaluation of quality.

Charlene Enhui Goh, Kaiping Zheng, Wen Yong Chua, Thao Nguyen, Changshuo Liu, Chun Keat Koh, Gabriel Keng Yan Lee, Chong Meng Tay, Beng Chin Ooi, Mun Loke Wong

Open access · goldAbstract 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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
7.6field-weighted citation impact, top 3% of its field
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

9 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Cariogenic Dietary Assessment Using a Mobile App in Children.Oral health & preventive dentistry · 2025
    Article
  6. Review
  7. Article
  8. Article
  9. 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

10 authors at 2 institutions in 1 country.

Charlene Enhui GohFaculty of Dentistry, National University of Singapore, Singapore.ORCID https://orcid.org/0000-0002-2208-5397
Kaiping ZhengSchool of Computing, National University of Singapore, Singapore.ORCID https://orcid.org/0000-0001-8138-1543
Wen Yong ChuaSchool of Computing, National University of Singapore, Singapore.
Thao NguyenSchool of Computing, National University of Singapore, Singapore.
Changshuo LiuSchool of Computing, National University of Singapore, Singapore.
Chun Keat KohSmart Systems Institute, National University of Singapore, Singapore.
Gabriel Keng Yan LeeFaculty of Dentistry, National University of Singapore, Singapore.
Chong Meng TayDivision of Advanced General Dental Practice, National University Centre for Oral Health Singapore, Singapore.
Beng Chin OoiSchool of Computing, National University of Singapore, Singapore.
Mun Loke WongFaculty of Dentistry, National University of Singapore, Singapore.
National University of Singapore · SGNational Dental Centre of Singapore · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Diet significantly contributes to dental decay (caries) yet monitoring and modifying patients' diets is a challenge for many dental practitioners. While many oral health and diet-tracking mHealth apps are available, few focus on the dietary risk factors for caries. This study aims to present the development and key features of a dental-specific mobile app for diet monitoring and dietary behaviour change to prevent caries, and pilot data from initial user evaluation. Methods: A mobile app incorporating a novel photo recognition algorithm and a localised database of 208,718 images for food item identification was developed. The design and development process were iterative and incorporated several behaviour change techniques commonly used in mHealth. Pilot evaluation of app quality was assessed using the end-user version of the Mobile Application Rating Scale (uMARS). Results: User feedback from the beta-testing of the prototype app spurred the improvement of the photo recognition algorithm and addition of more user-centric features. Other key features of the final app include real-time prompts to drive actionable behaviour change, goal setting, comprehensive oral health education modules, and visual metrics for caries-related dietary factors (sugar intake, meal frequency, etc.). The final app scored an overall mean (standard deviation) of 3.6 (0.5) out of 5 on the uMARS scale. Conclusion: We developed a novel diet-tracking mobile app tailored for oral health, addressing a gap in the mHealth landscape. Pilot user evaluations indicated good app quality, suggesting its potential as a useful clinical tool for dentists and empowering patients for self-monitoring and behavioural management.

Indexed as

behaviour change techniquesdental cariesdietmHealthmobile applicationsoral health

Identifiers

PMID38303969
PMCPMC10832442
OpenAlexW4391407677

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.