The main aim of this early-phase feasibility study was to explore the feasibility of delivering the "Strong Teeth" intervention to parents of children aged 0–5 years old, its impact on oral health behaviours and review study findings against progression criteria (Table 2).
Recruitment and Retention
Adequate recruitment of patients was a key outcome measure, with a target set of 25% of eligible participants. Positively, the early-phase study had a final recruitment rate of 37%. The recruitment of dyads in the 0-2-year-old group was more challenging, however, and took longer than the 3-5-year-old group. In 2019, only 14% of 0-2-year olds attended the dentist in the District of Bradford35 reflecting low national rates of attendance of young children in general dental practice36. Parental beliefs, such as not needing to take children to the dentist until they have ‘a full set of teeth’ or have a dental problem, have been cited as barriers to child dental registration37. Eligibility criteria may have also narrowed potential participants - some parents were unwilling to accommodate a home visit and, due to the lack of access to interpreting services, only families that spoke English could be included in the study.
The study’s final retention rate was 75%, lower than the target set of 85%. Six participants were lost after baseline, which was the biggest single drop during the trial (n=9), two-thirds of which occurred in the 0-2-year-olds. In this younger, pre-cooperative, age group, examinations were more challenging, as were organising home visits around set routines - potentially barriers for continued participation in the early-phase study. The follow-up schedule was devised using evidence on the time taken for habitual behaviours to become established38, however, there were only small differences between the 2-week and 2-month visit results – changes were established and maintained at the second follow-up. Options to enhance retention could include reducing the number of follow-up visits or focusing on the older 3-5-year-old cohort.
Sample
The sample of families in this early-phase study ranged in terms of background, qualifications and income, but demographics were largely representative of the high level of deprivation in the local area5. The average age of a parent in the study was 35, which is older than the average age of a first-time parent in England (28.9 years)39 but reflects a high proportion of study children in multi-child households. None of the 0-2-year-olds exhibited evidence of caries, however, more than half of the children aged 3-5-years-old had caries experience. This prevalence is higher than the local average (36%) for 5 years old children3. Critically, the study recruited dyads at high risk of caries based on their demographic backgrounds and the children’s caries experience.
Feasibility of delivery
Importantly, intervention delivery in dental practice (n=34/36; 94%) and data collection in the home setting was feasible. The intervention targeted home-based behaviours, therefore collecting data in this environment provides greater insights into home behaviours, as opposed to collecting data in a clinical setting, for example, the ability to film home toothbrushing. Contacting parents and organising visits within a particular time frame did pose challenges for the research team, however the vast majority of data collection visits could be undertaken (n=89/93; 96%). Data collection in a home setting may have discouraged participation for some, but this did not impact on anticipated recruitment rates.
Intervention Outcomes
Self-reported toothbrushing behaviours
As outlined by Table 2, efficacy was not a primary outcome of this pilot study. Moreover, any suggestion of impact needs to be considered with caution within these small study numbers. Nonetheless, we can report encouraging signs of improvement in oral health behaviours after the intervention. At the final data collection visit, there was a statistically significant increase in ‘total’ DBOH compliance. There were small increases in compliance to individual DBOH items (Table 3), however, these were non-significant within themselves. These findings suggest there was greater behaviour change in the same dyads, as opposed to global improvements within a specific behaviour.
‘Total’ compliance was 27.8% at baseline – much lower than previously reported figures29, 40-41. Traditionally only two or three measures of toothbrushing behaviours have been considered, and this was the basis of the progression criteria for 80% of participants adopting oral health behaviours post intervention (Table 2). A key finding from this study is the low level of compliance when the five-point DBOH criteria is used. This is important, as the absence of any of these five behaviours is associated with dental caries and hence the inclusion in the guidance13.
Dietary Habits
There was little reported change in dyad dietary habits over the course of the study. As the intervention is a parent-led conversation based on self-identified oral health barriers, the discussion may have focused more on brushing or a different concern. The efficacy and evidence base for one-to-one dietary interventions at reducing sugar intake is also limited in this age group42. There was an increase in sugary food consumption in the 0-2 group, however, this is unsurprising in the context of child development, the weaning process (and the increase in consumption of all types of foods), and is similar to findings of other similar studies 43-44.
Plaque Scores
Plaque scores for the 3-5-year-old group (the children using an Oral B electric toothbrush) showed an incremental and significant decrease between baseline visit and follow-up visits. Plaque scores in the 0-2-year olds varied substantially and were more difficult to undertake, which is unsurprising given the behavioural management challenges in this younger age group. This is consistent with other interventional studies that have found a bigger improvement in plaque scores in older children45.
Toothbrushing Duration
Active toothbrushing duration showed a positive and significant increase after the "Strong Teeth" intervention, increasing by an average of 18 seconds. Moreover, active parental brushing increased significantly, by an average of 17 seconds, also demonstrating an increase in the ratio of parent-to-child brushing. Other studies32 have showed much shorter active toothbrushing durations in a similar aged cohort, however this was with the use of self-recorded home videos, in the absence of a research team presence.
Limitations
This early-phase feasibility study recruited participants from general dental practice. Discretion, therefore, should be taken regarding the generalisation of this data sample. Participants recruited may have been more dentally motivated and oral health aware than the general population, although this was not supported by the self-reported behaviours or high levels of caries experience, nor by other RCTs looking at dental attending populations12. As outlined in previous research,37 parents may be more likely to register their child if they are having dental pain or problems.
Collecting dietary data presented several challenges. The dietary questionnaire, although a validated data collection method,28 had limitations: it relied on recall, parents were sometimes unsure of diet at nursery/with grandparents, and it did not account for seasonal differences. Anecdotally, researchers found some parents struggled with definitions used in the frequency table (e.g. ‘sugar-free' as opposed to ‘no added sugar’ beverages). Revision of the dietary data collection method will be considered prior to progression to full trial. Specific high-risk dietary behaviours - such as the consumption of sugar immediately before bedtime - can be reported more reliably and has been significantly related to caries experience46.
For observed measures of PSB, such as plaque score and toothbrushing duration, presence of the research team could have induced an observer effect (parents brushing for longer when being filmed). It was planned to assess toothbrushing frequency using the Disney Magic Timer smartphone application or a paper diary, however, there was mixed uptake of these methods that yielded little useable data. Barriers for use are discussed in the qualitative paper from this study26.