ArticleBMC oral health2021
Development of a secondary school-based digital behaviour change intervention to improve tooth brushing.
Article in BMC oral health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 14 citations in OpenAlex.
- Process Evaluation of a Secondary School-Based Digital Behaviour Change Intervention to Improve Toothbrushing: The BRIGHT Randomised Controlled Trial.Community dentistry and oral epidemiology · 2025Trial
- Behaviour change intervention (education and text) to prevent dental caries in secondary school pupils: BRIGHT RCT, process and economic evaluation.Health technology assessment (Winchester, England) · 2024Trial
- Effectiveness of Combined Face-to-Face and Mobile-Based Motivational Interviewing on Oral Hygiene Status and Behavior Among Adolescents in Gorontalo, Indonesia: A Quasi-Experimental Study.Dentistry journal · 2026Article
- Teaching methods for critical thinking in health education of children up to high school: A scoping review.PloS one · 2024Article
- Nursing Practice and Telehealth in School Health Services: A Scoping Review.Healthcare (Basel, Switzerland) · 2023Article
- Set up and assessment of progression criteria for internal pilots: the Brushing RemInder 4 Good oral HealTh (BRIGHT) trial example.Pilot and feasibility studies · 2023Article
- Co-design of an oral health intervention (HABIT) delivered by health visitors for parents of children aged 9-12 months.BMC public health · 2022Article
- Acceptability of the Brushing RemInder 4 Good oral HealTh (BRIGHT) trial intervention: a qualitative study of perspectives of young people and school staff.BMC oral health · 2022Article
Corrections and comments
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Authors and funding
10 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDental caries in adolescents remains a significant public health problem with few oral health promotion interventions aimed at reducing dental caries in secondary school-aged students. Previous oral health and mobile health (mHealth) research has suggested the need for the development of a school-based behaviour change intervention incorporating a digital component. This study aimed to describe the development process of a behaviour change intervention to improve the oral health of students aged 11-16 years attending secondary schools in the UK.
methodsA six-step process was used to develop the complex intervention informed by behaviour change theory and involving students, young people, parents and teachers in the process. The steps were: (1) identifying the target behaviours, namely tooth brushing with a fluoride toothpaste (2) identifying the theoretical basis and developing the causal model (3) reviewing the relevant literature and developing the logic model (4) designing the intervention with young people, parents and school staff (5) specifying the intervention content and (6) translating this content into features of the intervention and piloting.
resultsThe resultant intervention included a quality-assured classroom-based session (CBS) (guided by a lesson plan and teaching resources), delivered by school teachers which was embedded within the school curriculum. This CBS was followed by a series of (Short Message Service) SMS texts delivered twice daily to student's mobile telephones with the content, duration and timing of the messages informed by involvement of students and young people.
conclusionsAn intervention to improve the oral health of secondary school students through improved tooth brushing was rigorously developed based on behaviour change theory and work with young people, parents and school staff. Further research is needed to evaluate the outcomes and processes involved following the delivery of this intervention. BRIGHT Trial Trial Registration ISRCTN12139369.
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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.