Trial reportBMC oral health2025
Exploring the potential of a school brushing program using a connected brush in underserved areas: a feasibility cluster randomised trial.
Trial report in BMC oral health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Exploring brushing and questionnaire data from a feasibility randomised control trial of a school-based smart, connected toothbrushing program.BMC oral health · 2025Trial
- A watch-summarize-question gamified learning approach for oral health: learning achievement, motivation, and flossing skills.BMC oral health · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe main aim of this cluster randomised controlled trial is to explore the feasibility of a school-based brushing program utilising a smart, connected brush in children.
methodsStudents aged 8 to 11 years in 6 primary schools across Manchester, UK were approached for this study. All children received a smart, connected toothbrush which captured information on coverage, duration and frequency of brushing. Teachers had access to class-level digital dashboards summarising brushing habits to set challenges for the students. Additionally, children in schools randomised to the toothbrush plus text messaging trial arm received text message support (delivered to their parents' mobile phones). Outcomes included: (a) consent rate, (b) recruitment rate recorded as the number of participants who completed at least one of the study surveys post-consents, and (c) acceptability of the interventions on schools and parents through a mixed methods approach.
resultsAverage age of parents was 39.8 years (SD5.94) while the average age of children was 9.7 years (SD1.56). Most parents and children came from households in the most deprived decile based on their Index of Multiple Deprivation (IMD) scores with 77 households (52.4%) scoring 1 (most deprived). Out of 753 eligible participants across all 6 schools, 409 were consented (54.3% consent rate) with 148 participants completing baseline measurements (36.8%). During the study, there was only 1 drop out. In terms of acceptability, parents found the study very enjoyable (average score of 8.9/10), and found the brush and app easy to use (average score of 8.7/10). Those parents who additionally received the text messages found them easy to understand and useful (average score of 8.9/10). In total, 91.6% of parents would recommend the brush and the intervention to family and friends. Three key facilitators ((a) enhancing children's self-reliance, (b) increased engagement through the use of visual cues and (c) increased motivation (due to gamification) potentially supported children's engagement with the brush and app.
conclusionsLow dropout rates and very positive feedback highlight the potential of this intervention. Future studies should consider how to quantify changes in children's oral health, address loss of questionnaire completion and harness the opportunities this study provided.
trial registrationThe study was registered at ISRCTN registration number ISRCTN77803149 on the 28th December 2023.
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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.