Effectiveness of preventive intervention programmes aiming to improve oral health in children who have undergone caries-related dental extractions: a rapid review.

OBJECTIVE: To determine the effectiveness of preventive interventions in children who have undergone caries-related dental extractions. METHODS: Rapid review across five databases (CENTRAL, Ovid Medline, Embase, Web of Science and Scopus). Quality was assessed using the Risk of Bias 2 tool. RESULTS: Five studies were included, all randomised controlled trials involving pre-and/or post-extractions activity. Three studies involved oral health education (computer game, motivational interviewing, visual aids), one delivered clinical prevention (fissure sealants), and one an enhanced prevention programme combining additional health education and a clinical intervention (fluoride varnish). Retention was mixed (55%-80% in the intervention groups). Of the three studies measuring caries, all reported less caries development in the test group. However, only a study involving a dental nurse-delivered structured conversation, informed by motivational interviewing, showed an improvement in oral health. Two studies reporting on plaque and gingival bleeding had conflicting results. A study reporting on subsequent dental attendance did not demonstrate a clear improvement. CONCLUSION: Few published studies have explored prevention-based interventions in high caries-risk children requiring dental extractions. Whilst evidence of clinical benefit of preventive interventions in this population is limited, the potential use of contemporary behaviour change techniques appears promising. There is an urgent need for more high-quality longer-term trials using contemporary methodologies.

Deprivation and child dental attendance in England: exploring the shape and moderators.

OBJECTIVE: To describe the shape of the relationship between area deprivation and dental attendance (DA) in children aged 5 years and under in England and the modifying effect of caries prevalence, ethnicity, family profile and dentist-to-population ratio. BASIC RESEARCH DESIGN: DA rates were calculated at lower-tier local authority level (LA, n=326) using NHS data for the year to March 2017. LA deprivation was determined by Index of Multiple Deprivation 2015. Caries prevalence was retrieved from the 2016/17 National Dental Epidemiology Programme; ethnicity and family profile from Census 2011 and dentist-to-population ratio from NHS statistics. Fractional polynomial (FP) models explored the shape of the relationship. Multivariable regression models were adjusted for covariates. The effect of moderators was estimated by adjusted marginal effects. CLINICAL SETTING: English Lower-tier LAs. MAIN OUTCOME MEASURE: Shape of the relationship between DA and deprivation and its moderators. RESULTS: Best-fitting second-order FP model (p=0.582) did not provide a better fit for the relationship than the linear model. Therefore, the linear model was selected for final analysis. Deprivation was associated with decreased DA rates (Coefficient=-0.39, 95%CI=-0.53,-0.24; p=⟨0.001); while White ethnicity (Coefficient=0.35, 95%CI=0.29, 0.41; p=⟨0.001), single parenthood (Coefficient = 2.21, 95%CI=0.91,3.51; p=0.001) and caries prevalence (Coefficient =0.34, 95%CI=0.25,0.44; p=⟨0.001) with increased rates. These moderated the relationship. CONCLUSIONS: We hypothesised that the shape of the relationship between deprivation and DA could be curvilinear with higher rates in the extreme ends of deprivation. However, the analysis showed a linear association, moderated by the effect of ethnicity, single parenthood and disease level.

Greater child dental health inequality in England compared to Wales and Northern Ireland, despite lower average disease levels.

INTRODUCTION: Dental caries and inequalities in dental health are major public health concerns. AIM: To report variation in dental caries experience across deprivation quintiles and the magnitude of inequalities between countries. DESIGN: Secondary analyses of cross-sectional data from the 2013 Child Dental Health Survey (CDHS) in England, Wales, and Northern Ireland. MATERIALS AND METHODS: Distribution of dental caries across deprivation quintiles were estimated using as proportions and means. The magnitude of inequalities was calculated using the Relative Index of Inequality (RII). MAIN OUTCOMES: Dental caries experience as indicated by the prevalence (%dmft/DMFT>0) and severity (dmft/DMFT) of 'obvious' and 'clinical' decay experience in both primary and permanent dentitions. RESULTS: Children from more deprived quintiles showed higher prevalence and severity of dental caries. RIIs for dental caries were greater in England than Wales or Northern Ireland, indicating greater relative inequalities despite lower average dental caries experience. The prevalence and severity of dental caries among the most deprived children in England were 1.7 to 3.7 times greater than those of the least deprived. CONCLUSION: There is a deprivation gradient in child dental caries in all three countries, with England showing the greatest inequalities.

Low rates of dental attendance by the age of one and inequality between local government administrative areas in England.

OBJECTIVE: To describe child dental attendance (DA) by 1 year of age in England and its relationship with area deprivation. BASIC RESEARCH DESIGN: Analysis of National Health Service data for the 12 months to June 2017. Deprivation was measured by Index of Multiple Deprivation Rank of Average Score (2015) for upper-tier and unitary local authorities in England (LAs, n=151). DA rates were calculated for children under 1 year (⟨1yr) and children aged 1 year and under (⟨1yr). A Spearman's test assessed strength of association with deprivation. The Slope Index of Inequality (SII) and Relative Index of Inequality (RII) explored equity. CLINICAL SETTING: Upper-tier and unitary LAs in England. MAIN OUTCOME MEASURE: Attending an NHS primary care dental service. RESULTS: DA rates ranged from 0 to 12.3% (Median:2; IQR:1.4,3.9) in children ⟨1yr and from 3.7 to 37.6% (Median:10; IQR:7.4,17) in children ≤1yr. DA rates decreased as deprivation decreased (Spearman=-0.25, p=0.0019 in children ⟨1yr; Spearman=-0.21, p=0.0104 in children ≤1yr). The SII suggested a 2 percentage point difference in DA rate across the deprivation distribution in children ⟨1yr (SII=-0.02, 95% CI=-0.01,-0.04; p=⟨0.001); and a 5 point difference in children ≤1yr (SII=-0.05, 95% CI=-0.02,-0.09; p=0.003). The DA rate in the most deprived LA was 2.1 higher than the least deprived LA (RII=2.1, 95% CI=1.4,3.2; p=⟨0.001) in children ⟨1yr and 1.5 higher (RII=1.5, 95% CI=1.2,2; p=0.004) in children ≤1yr. CONCLUSIONS: DA rates were low for all LAs and only partially explained by deprivation. More deprived LAs were, unexpectedly, more likely to report higher DA rates.