Self‐reported bleeding on brushing as a predictor of bleeding on probing: Early observations from the deployment of an internet of things network of intelligent power‐driven toothbrushes in a supportive periodontal care population

Abstract

Background: Bleeding on brushing (BoB) is an important sign of gingival inflammation. Recently, the use of intelligent toothbrushes and oral health Apps has shown potential to improve oral and periodontal health. In the context of the introduction of an Internet of things network of intelligent power‐driven toothbrushes in a supportive periodontal care programme, the aim of this study was (a) to audit the adoption and retention of this new technology; and (b) to preliminarily assess the feasibility to gather data on BoB and associate them with clinical periodontal parameters.

Methods: 100 subjects with different periodontal case diagnoses participating in supportive periodontal care (SPC) were provided with and instructed on the use of an intelligent power‐driven toothbrush connected with an App (I‐Brush). Brushing sessions and occurrence of BoB were recorded through the App and stored in a data protection compliant backend. Subject retention was audited over time. BoB recorded in the two weeks before the SPC appointment was associated with clinical parameters observed by the clinician blind to App data.

Results: 75% of subjects provided data from using the power toothbrush and the App for a minimum of 10 brushing sessions over an average period of 362 days. Compared with baseline, subjects’ oral hygiene, bleeding on probing and prevalence of residual pockets improved gradually while using the I‐Brush. The number of BoB episodes in the two weeks leading to the SPC appointment and the number of residual pockets predicted BOP (p < .001) detected during the examination. App use in the previous two weeks was associated with lower plaque scores at SPC.

Conclusions: These preliminary observations indicate good adoption and retention of a mobile health system built around an intelligent power toothbrush in a SPC population. The App was able to gather clinically relevant information predicting the observed degree of gingival inflammation. Deployment of mHealth systems seems feasible in dental practice and may bring significant oral health benefits. More investigations are needed in this area.