Early Preventive Dental Visits: Do They Reduce Future Operative Treatments?

This study assessed the longitudinal impact of early preventive dental visits on the number of dental operative procedures in a prevention-oriented pediatric dental practice. Inclusion criteria consisted of patients zero to four years of age with at least two years of preventive services provided by the practice. Early preventive visits were the intervention and dental operative procedures were the assessed outcome. The goal was to determine if preventive visits at an early age decreased the number of operative procedures needed by the patient. The patients were divided into two groups: those with older siblings in the practice and those without older siblings in the practice. A secondary outcome was to compare these two patient groups to determine if a child who had older siblings previously treated in this preventive practice had better outcomes than those without siblings in the practice. ANCOVA tests were used to compare the average number of operative procedures in two age groups (<2 years and ≥2 years), and for those with and without dental insurance, in addition to children being younger sibling versus children without sibling, adjusting for the effect of covariates. The study sample consisted of 363 pediatric patients. Patients' age at first visit ranged from 0 to 4 years old (mean = 2.13; SD = 1.15). The average number of operative procedures per year increased as the age at first visit increased (p < 0.05). The average number of operative procedures in two age groups (<2 years and ≥2 years) differed (p < 0.05) with those whose age at first visit ≥2 years experiencing more dental operative procedures than the younger group. The average number of operative procedures was similar between younger siblings (mean = 1.91; SD = 7.44) and children without siblings (mean = 1.54; SD = 2.1) (p > 0.05). The difference in the average number of operative procedures in children with insurance (mean = 1.59; SD = 5.25) and children without insurance (mean = 1.58; SD = 2.38) was non-significant (p > 0.05). More dental cleaning examinations were associated with fewer dental operative procedures (p < 0.05). These findings demonstrate that dental examinations before two years of age and more dental cleaning examinations lead to a decrease in the number of dental operative procedures needed by children.

Health and dental care expenditures in the United States from 1996 to 2016.

INTRODUCTION: As total health and dental care expenditures in the United States continue to rise, healthcare disparities for low to middle-income Americans creates an imperative to analyze existing expenditures. This study examined health and dental care expenditures in the United States from 1996 to 2016 and explored trends in spending across various population subgroups. METHODS: Using data collected by the Medical Expenditure Panel Survey, this study examined health and dental care expenditures in the United States from 1996 to 2016. Trends in spending were displayed graphically and spending across subgroups examined. All expenditures were adjusted for inflation or deflation to the 2016 dollar. RESULTS: Both total health and dental expenditures increased between 1996 and 2016 with total healthcare expenditures increasing from $838.33 billion in 1996 to $1.62 trillion in 2016, a 1.9-fold increase. Despite an overall increase, total expenditures slowed between 2004 and 2012 with the exception of the older adult population. Over the study period, expenditures increased across all groups with the greatest increases seen in older adult health and dental care. The per capita geriatric dental care expenditure increased 59% while the per capita geriatric healthcare expenditure increased 50% across the two decades. For the overall US population, the per capita dental care expenditure increased 27% while the per capita healthcare expenditure increased 60% over the two decades. All groups except the uninsured experienced increased dental care expenditure over the study period. CONCLUSIONS: Healthcare spending is not inherently bad since it brings benefits while exacting costs. Our findings indicate that while there were increases in both health and dental care expenditures from 1996 to 2016, these increases were non-uniform both across population subgroups and time. Further research to understand these trends in detail will be helpful to develop strategies to address health and dental care disparities and to maximize resource utilization.

Exploring the Intersection between Social Determinants of Health and Unmet Dental Care Needs Using Deep Learning.

The goals of this study were to develop a risk prediction model in unmet dental care needs and to explore the intersection between social determinants of health and unmet dental care needs in the United States. Data from the 2016 Medical Expenditure Panel Survey were used for this study. A chi-squared test was used to examine the difference in social determinants of health between those with and without unmet dental needs. Machine learning was used to determine top predictors of unmet dental care needs and to build a risk prediction model to identify those with unmet dental care needs. Age was the most important predictor of unmet dental care needs. Other important predictors included income, family size, educational level, unmet medical needs, and emergency room visit charges. The risk prediction model of unmet dental care needs attained an accuracy of 82.6%, sensitivity of 77.8%, specificity of 87.4%, precision of 82.9%, and area under the curve of 0.918. Social determinants of health have a strong relationship with unmet dental care needs. The application of deep learning in artificial intelligence represents a significant innovation in dentistry and enables a major advancement in our understanding of unmet dental care needs on an individual level that has never been done before. This study presents promising findings and the results are expected to be useful in risk assessment of unmet dental care needs and can guide targeted intervention in the general population of the United States.