Your browser doesn't support javascript.
loading
Development of a dental diet-tracking mobile app for improved caries-related dietary behaviours: Key features and pilot evaluation of quality.
Goh, Charlene Enhui; Zheng, Kaiping; Chua, Wen Yong; Nguyen, Thao; Liu, Changshuo; Koh, Chun Keat; Lee, Gabriel Keng Yan; Tay, Chong Meng; Ooi, Beng Chin; Wong, Mun Loke.
  • Goh CE; Faculty of Dentistry, National University of Singapore, Singapore.
  • Zheng K; School of Computing, National University of Singapore, Singapore.
  • Chua WY; School of Computing, National University of Singapore, Singapore.
  • Nguyen T; School of Computing, National University of Singapore, Singapore.
  • Liu C; School of Computing, National University of Singapore, Singapore.
  • Koh CK; Smart Systems Institute, National University of Singapore, Singapore.
  • Lee GKY; Faculty of Dentistry, National University of Singapore, Singapore.
  • Tay CM; Division of Advanced General Dental Practice, National University Centre for Oral Health Singapore, Singapore.
  • Ooi BC; School of Computing, National University of Singapore, Singapore.
  • Wong ML; Faculty of Dentistry, National University of Singapore, Singapore.
Digit Health ; 10: 20552076241228433, 2024.
Article en En | MEDLINE | ID: mdl-38303969
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.
Palabras clave

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Año: 2024 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Año: 2024 Tipo del documento: Article