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OBJECTIVE: Authors reported multiple definitions of e-oral health and related terms, and used several definitions interchangeably, like mhealth, teledentistry, teleoral medicine and telehealth. The International Association of Dental Research e-Oral Health Network (e-OHN) aimed to establish a consensus on terminology related to digital technologies used in oral healthcare. METHOD: The Crowdsourcing Delphi method used in this study comprised of four main stages. In the first stage, the task force created a list of terms and definitions around digital health technologies based on the literature and established a panel of experts. Inclusion criteria for the panellists were: to be actively involved in either research and/or working in e-oral health fields; and willing to participate in the consensus process. In the second stage, an email-based consultation was organized with the panel of experts to confirm an initial set of terms. In the third stage, consisted of: a) an online meeting where the list of terms was presented and refined; and b) a presentation at the 2022-IADR annual meeting. The fourth stage consisted of two rounds of feedback to solicit experts' opinion about the terminology and group discussion to reach consensus. A Delphi-questionnaire was sent online to all experts to independently assess a) the appropriateness of the terms, and b) the accompanying definitions, and vote on whether they agreed with them. In a second round, each expert received an individualised questionnaire, which presented the expert's own responses from the first round and the panellists' overall response (% agreement/disagreement) to each term. It was decided that 70% or higher agreement among experts on the terms and definitions would represent consensus. RESULTS: The study led to the identification of an initial set of 43 terms. The list of initial terms was refined to a core set of 37 terms. Initially, 34 experts took part in the consensus process about terms and definitions. From them, 27 experts completed the first rounds of consultations, and 15 the final round of consultations. All terms and definitions were confirmed via online voting (i.e., achieving above the agreed 70% threshold), which indicate their agreed recommendation for use in e-oral health research, dental public health, and clinical practice. CONCLUSION: This is the first study in oral health organised to achieve consensus in e-oral health terminology. This terminology is presented as a resource for interested parties. These terms were also conceptualised to suit with the new healthcare ecosystem and the place of e-oral health within it. The universal use of this terminology to label interventions in future research will increase the homogeneity of future studies including systematic reviews.

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Fine motor skills (FMS) allow for the control and coordination of the distal musculature of hands and fingers, a skill required to brush teeth. The objective of this study was to investigate the association between FMS and toothbrushing efficacy. This cross-sectional study included 42 low-income Latino children aged 5 to 9 years from Pasto, Colombia. Toothbrushing efficacy was determined by the children's dental plaque Quigley-Hein Index (QH-I) mean-score difference from before and after toothbrushing. FMS were evaluated using the 5-15R parent evaluation, the spiral drawing Archimedes test, and a neurodevelopmental assessment of movements and prehension patterns during toothbrushing. A descriptive analysis was performed to assess the characteristics of FMS and children's toothbrushing, and a generalized linear model was used to determine associations between these skills and toothbrushing efficacy. Eighty-six percent of the children had at least one difficulty with FMS, and in 7%, they interfered with daily activities. Fourteen percent presented a moderate pattern in the Archimedes test, and 43% had inefficient prehension patterns. Toothbrushing reduced the QH-I by a mean of 1.45 (SD = 0.78-2.12) (p < 0.001). Toothbrushing efficacy was only significantly associated with age (mean-difference = -0.315, 95%CI: -0.481 to -0.148, p < 0.001). FMS and toothbrushing efficacy were not significantly associated. Other components of fine motor control should be analyzed to understand the kinetics of toothbrushing.

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Abstract Fine motor skills (FMS) allow for the control and coordination of the distal musculature of hands and fingers, a skill required to brush teeth. The objective of this study was to investigate the association between FMS and toothbrushing efficacy. This cross-sectional study included 42 low-income Latino children aged 5 to 9 years from Pasto, Colombia. Toothbrushing efficacy was determined by the children's dental plaque Quigley-Hein Index (QH-I) mean-score difference from before and after toothbrushing. FMS were evaluated using the 5-15R parent evaluation, the spiral drawing Archimedes test, and a neurodevelopmental assessment of movements and prehension patterns during toothbrushing. A descriptive analysis was performed to assess the characteristics of FMS and children's toothbrushing, and a generalized linear model was used to determine associations between these skills and toothbrushing efficacy. Eighty-six percent of the children had at least one difficulty with FMS, and in 7%, they interfered with daily activities. Fourteen percent presented a moderate pattern in the Archimedes test, and 43% had inefficient prehension patterns. Toothbrushing reduced the QH-I by a mean of 1.45 (SD = 0.78-2.12) (p < 0.001). Toothbrushing efficacy was only significantly associated with age (mean-difference = -0.315, 95%CI: -0.481 to -0.148, p < 0.001). FMS and toothbrushing efficacy were not significantly associated. Other components of fine motor control should be analyzed to understand the kinetics of toothbrushing.