Socio-demographic predictors of not having private dental insurance coverage: machine-learning algorithms may help identify the disadvantaged.

BACKGROUND: For accessing dental care in Canada, approximately 62% of the population has employment-based insurance, 6% have some publicly funded coverage, and 32% have to pay out-of pocket. Those with no insurance or public coverage find dental care more unaffordable compared to those with private insurance. To support the development of more comprehensive publicly funded dental care programs, it is important to understand the socio-demographic attributes of all those, who find dental care unaffordable. METHODS: This study is a secondary analysis of the data collected from Ontarians during the latest available cycle of the Canadian Community Health Survey (2017-18), a cross-sectional survey that collects information on health status, health care utilization, and health determinants for the Canadian population. First, bivariate analysis was conducted to determine the characteristics of Ontarians who lack dental insurance. Afterwards, we employed machine learning (ML) to analyze data and identify risk indicators for not having private dental insurance. Specifically, we trained several supervised ML models and utilized Shapley additive explanations (SHAP) to determine the relative feature importance for not having private dental insurance from the best ML model [the gradient boosting (GBM)]. RESULTS: Approximately one-third of Ontarians do not have private insurance coverage for dental care. Individuals with an income below $20,000, those unemployed or working part-time, seniors aged above 70, and those unable to afford to have their own housing are more at risk of not having private dental insurance, leading to financial barriers in accessing dental care. CONCLUSION: In the future, government-funded programs can incorporate these identified risk indicators when determining eligible populations for publicly funded dental programs. Understanding these attributes is critical for developing targeted and effective interventions, ensuring equitable access to dental care for Canadians.

Medicaid Dental Benefits for Pregnant People and Dental Care Use Among Very Young Children.

OBJECTIVES: The aim of this study was to examine the association between Medicaid dental benefits for pregnant people and dental care use among very young children in Medicaid. We hypothesized that children living in states with more generous dental benefits for Medicaid-enrolled pregnant people would be more likely to have a recent dental visit. METHODS: This national cross-sectional study used pooled 2017-2019 data from the National Survey of Children's Health, as well as state Medicaid policy data. The study sample included children aged 0-2 enrolled in Medicaid. Multivariable logistic regression models estimated the association between Medicaid dental benefit generosity for pregnant people and the child having a dental visit in the past year. RESULTS: Children in states with emergency-only dental coverage for pregnant people were 2.5 times as likely to have had a dental visit than children in states with extensive coverage (OR 2.48, 95% CI 1.35-4.53). In supplemental analyses excluding children living in Texas, there was no longer an association between dental coverage for pregnant people and dental utilization among young children (OR 1.52, 95% CI 0.82-2.83). CONCLUSIONS FOR PRACTICE: Young children in states that provided emergency-only dental benefits for pregnant people in Medicaid had significantly higher odds of dental utilization than young children in states with more generous dental benefits for pregnant people. This relationship disappeared after excluding the state Texas, which had the highest rate of child dental utilization in the country and provided emergency-only dental benefits for pregnant people in Medicaid.

Patterns and factors associated with dental service utilization among insured people: a data mining approach.

BACKGROUND: Insurance databases contain valuable information related to the use of dental services. This data is instrumental in decision-making processes, enhancing risk assessment, and predicting outcomes. The objective of this study was to identify patterns and factors influencing the utilization of dental services among complementary insured individuals, employing a data mining methodology. METHODS: A secondary data analysis was conducted using a dental insurance dataset from Iran in 2022. The Cross-Industry Standard Process for Data Mining (CRISP-DM) was employed as a data mining approach for knowledge extraction from the database. The utilization of dental services was the outcome of interest, and independent variables were chosen based on the available information in the insurance dataset. Dental services were categorized into nine groups: diagnostic, preventive, periodontal, restorative, endodontic, prosthetic, implant, extraction/surgical, and orthodontic procedures. The independent variables included age, gender, family size, insurance history, franchise, insurance limit, and policyholder. A multinomial logistic regression model was utilized to investigate the factors associated with dental care utilization. All analyses were conducted using RapidMiner Version 2020. RESULTS: The analysis encompassed a total of 654,418 records, corresponding to 118,268 insured individuals. Predominantly, restorative treatments were the most utilized services, accounting for approximately 38% of all services, followed by diagnostic (18.35%) and endodontic (13.3%) care. Individuals aged between 36 and 60 years had the highest rate of utilization for any dental services. Additionally, families comprising three to four members, individuals with a one-year insurance history, people contracted with a 20% franchise, individuals with a high insurance limit, and insured individuals with a small policyholder, exhibited the highest rate of service usage compared to their counterparts. The regression model revealed that all independent variables were significantly associated with the use of dental services. However, the patterns of association varied among different service categories. CONCLUSIONS: Restorative treatments emerged as the most frequently used dental services among insured individuals, followed by diagnostic and endodontic procedures. The pattern of service utilization was influenced by the characteristics of the insured individuals and attributes related to their insurance.

Factors associated with the use of oral health care services among seniors in Canada.

Background: This study explores the link between dental insurance, income, and oral health care access among seniors (aged 65 and over) in Canada. It contributes to the understanding of oral health care among seniors before the implementation of the Canadian Dental Care Plan. Data and methods: This study uses data from the 2019/2020 Canadian Health Survey on Seniors (n=41,635) to report descriptive statistics and logistic regression model results and examine factors associated with seniors living in the community and access to oral health care services. Results: At the time of the survey (2019/2020), 72.5% of seniors in Canada reported having had a dental visit in the past 12 months, with 83.0% of insured and 65.3% of uninsured seniors reporting visits. Seniors reporting excellent or very good oral health had a higher prevalence of visits (79.2%) compared with those with good, fair, or poor oral health (62.3%). Among seniors who had not visited a dental professional in three years, 56.3% deemed it unnecessary, and 30.8% identified cost as the major barrier. After sociodemographic characteristics were controlled for, insured seniors were more likely to have had a dental visit in the past 12 months (adjusted odds ratio [OR]: 2.27; 95% confidence interval [CI]: 2.03 to 2.54) and were less likely to avoid dental visits because of cost (OR: 0.18; 95% CI: 0.12 to 0.28) compared with their uninsured counterparts. Interpretation: This study underscores the role of dental insurance in seniors' oral health care access. While insurance is associated with seniors' access to oral health care services, the study also emphasizes the need to consider social determinants of oral health such as income, gender, age, level of education, and place of residence when assessing oral health care access for seniors.

Is private insurance enough to address barriers to accessing dental care? Findings from a Canadian population-based study.

BACKGROUND: In Canada, as in many other countries, private dental insurance addresses financial barriers to a great extent thereby facilitating access to dental care. That said, insurance does not guarantee affordability, as there are issues with the quality and level of coverage of insurance plans. As such, individuals facing barriers to dental care experience poorer oral health. Therefore, it is important to examine more keenly the socio-demographic attributes of people with private insurance to particularly identify those, who despite having insurance, face challenges in accessing dental care and experience poorer oral health. METHODS: This study is a secondary data analysis of the most recent available cycle (2017-18) of the Canadian Community Health Survey (CCHS), a national cross-sectional survey. Univariate analysis was conducted to determine the characteristics of Ontarians with private insurance (n = 17,678 representing 6919,814 Ontarians)-bivariate analysis to explore their financial barriers to dental care, and how they perceive their oral health. Additionally, logistic regressions were conducted to identify relationships between covariates and outcome variables. RESULTS: Analysis shows that the majority of those with private insurance do not experience cost barriers to dental care and perceive their oral health as good to excellent. However, specific populations, including those aged 20-39 years, and those earning less than $40,000, despite having private dental insurance, face significantly more cost barriers to access to care compared to their counterparts. Additionally, those with the lowest income (earning less than $20,000 annually) perceived their oral health as "fair to poor" more than those earning more. Adjusted estimates revealed that respondents aged 20-39 were six times more likely to report cost barriers to dental care and ten times more likely to visit the dentist only for emergencies than those aged 12-19. Additionally, those aged 40-59 were two times more likely to report poorer oral health status compared to those aged 12-19. CONCLUSION: Given the upcoming implementation of the Canadian Dental Care Plan, the results of this study can support in identifying vulnerable populations who currently are ineligible for the Plan but can be benefitted from the coverage.

Asthma, long-term asthma control medication and tooth wear in American adolescents and young adults.

OBJECTIVE: This study explored the associations of asthma and long-term asthma control medication with tooth wear among American adolescents and young adults. METHODS: Data from 2186 participants of the National Health and Nutrition Examination Survey (NHANES) were used. Asthma and prescribed long-term medication were collected through questionnaires. The number of surfaces with tooth wear was determined during clinical examinations. Associations were tested in Hurdle regression models adjusting for confounders. RESULTS: The prevalence of tooth wear was 58%, with an average of 6.1 (SD: 4.0) surfaces affected among those with the condition. The prevalence of asthma was 10.3%, with 2.9% of participants using long-term medication for asthma control. In the adjusted regression model, asthma was not associated with tooth wear. However, long-term control medication was associated with greater odds of having tooth wear (odds ratio: 3.33; 95%CI: 1.24-8.97), but it was not associated with the number of surfaces with tooth wear among those with the condition (rate ratio: 1.01; 95% CI: 0.58-1.75). CONCLUSION: This cross-sectional analysis of national data shows that taking long-term asthma medication was positively associated with having tooth wear.

Providing dental insurance can positively impact oral health outcomes in Ontario.

BACKGROUND: Universal coverage for dental care is a topical policy debate across Canada, but the impact of dental insurance on improving oral health-related outcomes remains empirically unexplored in this population. METHODS: We used data on individuals 12 years of age and older from the Canadian Community Health Survey 2013-2014 to estimate the marginal effects (ME) of having dental insurance in Ontario, Canada's most populated province (n = 42,553 representing 11,682,112 Ontarians). ME were derived from multi-variable logistic regression models for dental visiting behaviour and oral health status outcomes. We also investigated the ME of insurance across income, education and age subgroups. RESULTS: Having dental insurance increased the proportion of participants who visited the dentist in the past year (56.6 to 79.4%, ME: 22.8, 95% confidence interval (CI): 20.9-24.7) and who reported very good or excellent oral health (48.3 to 57.9%, ME: 9.6, 95%CI: 7.6-11.5). Compared to the highest income group, having dental insurance had a greater ME for the lowest income groups for dental visiting behaviour: dental visit in the past 12 months (ME highest: 17.9; 95% CI: 15.9-19.8 vs. ME lowest: 27.2; 95% CI: 25.0-29.3) and visiting a dentist only for emergencies (ME highest: -11.5; 95% CI: - 13.2 to - 9.9 vs. ME lowest: -27.2; 95% CI: - 29.5 to - 24.8). CONCLUSIONS: Findings suggest that dental insurance is associated with improved dental visiting behaviours and oral health status outcomes. Policymakers could consider universal dental coverage as a means to support financially vulnerable populations and to reduce oral health disparities between the rich and the poor.

Racial/Ethnic Disparities Among US Children and Adolescents in Use of Dental Care.

INTRODUCTION: Dental care among children has increased over the past decade, and racial/ethnic disparities have narrowed for some groups. We measured changes in racial/ethnic disparities in annual dental care for children and adolescents aged 2 to 17 years and conducted multivariate analysis to study factors associated with changes in disparities over time. METHODS: We used Medical Expenditure Panel Survey data to obtain crude prevalence estimates of dental care use and calculated absolute disparities and changes in disparities for 3 racial/ethnic groups of children and adolescents compared with non-Hispanic white children and adolescents relative to fixed points in time (2001 and 2016). We pooled all single years of data into 3 data cycles (2001-2005, 2006-2010, and 2011-2016) and used multivariate regression to assess the relationship between dental care use and race/ethnicity, controlling for the covariates of age, sex, parents' education, household income, insurance status, and data cycle (time). RESULTS: Use increased by 18% only in low-income children and adolescents. Low-income Hispanic (adjusted prevalence ratio [aPR] = 0.98; 95% CI, 0.94-1.02) and Asian (aPR = 0.92; 95% CI, 0.83-1.02) participants showed no difference in dental care use relative to non-Hispanic white participants, but non-Hispanic black participants had significantly lower use (aPR = 0.84; 95% CI, 0.81-0.88). Public and private insurance were associated with a doubling of use among low-income children. CONCLUSION: We saw a modest increase in dental care use and a narrowing of disparities for some low-income children and adolescents. Use among low-income Hispanic and Asian participants "caught up" with use among Hispanic white participants but remained well below that of children and adolescents in families with middle and high incomes. Disparities persisted for non-Hispanic black participants at all income levels.

Regional and gender differences in population-based oral health insurance data.

OBJECTIVE: Early dental monitoring contributes substantially to good oral health in children. However, little is known on whether children from different geographical regions and gender are equally reached with current preventive and curative oral health strategies. The aim of our study therefore was to explore regional and gender differences in a population-based oral health dataset of Austrian children up to the age of 14. MATERIALS AND METHODS: We extracted the first electronically available health insurance data of children aged up to 14 years on dental services within a 4-year observation period in Austria and performed a separate analysis in up to 6-year-old children. In addition, we used a smaller randomly selected sample dataset of 3000 children as the large numbers would result in significant, but very small effects. RESULTS: In a total of 130,895 children, of whom 77,173 children (59%) were up to the age of six, we detected an east-west gradient: The eastern regions of Austria showed an older age at first contact and a higher number of dental services. A child aged up to 6 years who needed more than four dental services had a likelihood of 40% to be from Vienna, Austria's capital city located in the east. The smaller random sample did not show significant gender differences. CONCLUSIONS: Even in regions with a high density of dentists, such as Vienna, we obviously did not reach young children in the same extent as in other regions. CLINICAL RELEVANCE: Stratified interventions could be developed to overcome regional inequalities.

The Impact of the ACA Medicaid Expansions on Dental Visits by Dental Coverage Generosity and Dentist Supply.

BACKGROUND: Low-income adults in the United States have historically had limited access to dental coverage and poor dental health outcomes. OBJECTIVE: We examined the effects of the Affordable Care Act Medicaid expansions on dental visits among low-income adults focusing on the generosity of dental coverage and heterogeneity in effects by dentist supply. RESEARCH DESIGN: We used data from 2012, 2014, and 2016 Behavioral Risk Factor Surveillance System surveys. The main analytical sample included nearly 117,000 individuals <138% federal poverty level. We employed a quasi-experimental difference-in-differences design to identify the impact of the state Medicaid expansions on having a dental visit in the past 12 months by the generosity of dental coverage and dentist supply. RESULTS: Medicaid expansions were associated with a nearly 6 percentage-point increase in the likelihood of any dental visits in 2016 (over 10% increase from preexpansion rate) for individuals in Medicaid expanding states with extensive dental benefits. This increase, however, was concentrated in states with high dentist supply with no evidence of improvement in utilization in states with limited dental coverage or low dentist supply. CONCLUSIONS: Expanding Medicaid with generous dental coverage improved dental care use only in areas with high dentist supply with no evidence of benefits with low dentist supply or less generous coverage. Improving access to dental care may require both generous coverage and supply-side interventions to increase dentist availability.

A crossectional investigation of the relationship between complementary health insurance and frequency of dental visits in 15 to 64 years old of Tehran population, Iran, a secondary data analysis (urban HEART-2).

BACKGROUND: This study aimed to investigate the relationship between complementary health insurance and frequency of dental visits. METHODS: The present study was performed using the Urban Health Equity Assessment and Response Tool (Urban HEART). A cross-sectional study was conducted in Tehran (Iran) to assess inequalities in health status among different socioeconomic and ethnic groups, genders, geographical areas, and social determinants of health. Out of 20,320 records retrieved from the original study with dental information, 17,252 had both dental insurance and dental visit information. Complementary health insurance as the main independent variable had three categories (i.e., basic insurance, with complementary medical coverage, and with dental coverage). The frequency of dental visits during the last year as a dependent variable had also three categories (i.e., no visit, one, and two, or more dental visits in the last year). In this study, in addition to investigating the relationship between complementary health insurance and frequency of dental visits, potential covariates that may affect the mentioned relationship were evaluated in the regression model. Statistical analyses included simple and multiple multinomial logistic regression considering the sampling method and sampling weights. RESULTS: The meanage of 17,252 participants (Tehran citizens) was 39.36 years; 49.4%were women, 86.0%hadonly basicinsurance, 7.2% had complementary medical insurance, and 6.8% had complementary dental insurance. Of all subjects, 43.8% reported no dental visit, 26.1% reported one, and 30.1% reportedtwoor more dental visits during the lastyear. The frequency of dental visits was lower in people who had basic insurance than others such that that odds ratio (OR) was 0.73 (p-value < 0.001) for one visit and 0.68 (p-value< 0.001) for two or more visits in the last year. The frequency of dental visits was also positively associated with dental brushing, toothpaste use, high educational level, being married, having more than 20 teeth, and having dental pain. CONCLUSION: Having dental insurance increases the frequency of dental visits but the association between dental insurance and dental visits was independently influenced by other predictors.

Did malpractice claims for failed dental implants decrease after introduction of CBCT in Finland?

OBJECTIVES: To examine the role of cone beam computed tomography (CBCT) in preventing failures in implant treatment. We hypothesize that the number of malpractice claims related to dental implant treatment would decrease after the first CBCT device came available in 2002 in Finland. MATERIAL AND METHODS: Data concerning malpractice claims related to dental implant treatment during the years 1997-2011 were collected from the Finnish Patient Insurance Centre (N = 330 subjects). We selected the cases that might have benefitted from the use of CBCT examination. These cases (n = 131) led to financial compensation due to permanent inferior alveolar nerve injury, improper implant position, or insufficient amount of bone for the implant. The annual total number of inserted dental implants, CBCT devices, and CBCT examinations in Finland were drawn from the national registers and used to estimate the impact of CBCT in preventing treatment failures. RESULTS: The most common reason for all failures (n = 268 implants) was an improper implant position (46.3%). The most common area of malpractices was upper front teeth (34%). We have noticed a fall in the rate of compensable malpractice cases concerning implant failure, simultaneously with CBCT technology emerging on the market. CONCLUSIONS: There may be an association between the increasing availability of CBCT equipment and the reducing frequency of compensable malpractice claims. CLINICAL RELEVANCE: It is possible that the use of CBCT may result in fewer compensable malpractice claims.

Demographic factors in the choice of coronal restoration after root canal treatment in the Swedish adult population.

BACKGROUND: After root canal treatment, a choice is made between different coronal restorations which in the long run could affect the survival of the tooth. OBJECTIVE: To compare demographic characteristics between individuals choosing an indirect coronal restoration (crown, inlay/onlay) and individuals choosing other restorations after completion of a root filling. METHODS: The cohort consisted of all root-filled upper first molars that were reported to the tax-funded Swedish Social Insurance Agency (SSIA) during 2009. After registration of the root filling, any subsequent coronal restorations within 2 years were identified. The crown group consisted of individuals registered with an indirect coronal restoration and the restoration group was the remaining individuals with a direct coronal restoration or lacking registration. Demographic data (gender, disposable income, age, educational level, civil status and country of birth) were received from Statistics Sweden or the SSIA. Statistical analyses included chi-square test, t test and logistic regression analysis. P < 0.05 was considered statistically significant. RESULTS: An indirect coronal restoration was received by 7806 individuals (21.9%), and 27 886 individuals (78.1%) received a direct restoration. All demographic variables except gender differed significantly between groups. Logistic regression analysis found significant associations for all demographic variables and the registration of an indirect restoration except for country of birth and gender. CONCLUSIONS: The identified demographic differences between individuals choosing to restore their newly root-filled teeth with an indirect restoration compared to those receiving other restorations may indicate that the tax-funded Swedish dental insurance fails to provide dental care on equal terms for Swedish citizens.

Validation of multivariable models for predicting tooth loss in periodontitis patients.

OBJECTIVES: A large number of multivariable models which associate independent variables with the outcome tooth loss exist. Directly or indirectly, these make predictions as to the relative risk of tooth loss. We aimed to validate six of these prediction models. METHODS: We applied each model, if needed after adaptions, in a cohort of 301 compliant periodontitis patients who had been under supportive periodontal treatment (SPT) in a university setting over 21.7 ± 5.6 years. The models employed a range of tooth-level and patient-level parameters. Model accuracy, that is, the ability to rightly predict tooth loss during SPT using baseline parameters, was investigated by the area under the receiver-operating-characteristics curve (AUC). RESULTS: Most models showed low accuracy (AUC ranged between 0.52 and 0.67). The classification model from Avila et al. (2009) Journal of Periodontology, 80, 476-491, expressing the risk of tooth loss in five grades, was most accurate (mean AUC: 0.67, 95%CI: 0.65/0.69). When applying this model, the risk of false-positively predicting tooth loss was high, except when the highest grade (i.e. a tooth being considered as having a hopeless prognosis) was used. In this case, the specificity was 84% and the sensitivity 46%. CONCLUSIONS: Predicting tooth loss in this specific cohort of periodontitis patients was only limitedly possible.

What should we expect from Switzerland's compulsory dental insurance reform?

BACKGROUND: A vast and heated debate is arising in Switzerland as a result of some recent citizens' initiatives aimed at introducing compulsory dental health care insurance. The Grand Conseils of the Vaud, Geneva, and Neuchâtel cantons recently approved three public initiatives and their citizens are expected to vote on the proposal in 2018. The process of collecting signatures has begun in several other cantons and the discussion has now moved to a national level. DISCUSSION: At present, there is no scientific research that can help policy-makers and citizens to understand the main economic implications of such reform. We attempt to fill this gap by analysing three critical issues: the level and determinants of unmet needs for dental care in Switzerland; the protection of vulnerable individuals; and the economic sustainability of reform. RESULTS AND SHORT CONCLUSIONS: The results show that income is not a unique determinant of barriers to access to dental care but rather, cultural and socio-demographic factors impact the perceived level of unmet dental care needs. The reform might only partially, if at all, improve the equity of the current system. In addition, the results show that the 1% wage-based contribution that the reform promoters suggest should finance the insurance is inadequate to provide full and free dental care to Swiss residents, but is merely sufficient to guarantee basic preventive care, whereas this could be provided by dental hygienists for less.

Dental Service Utilization Among Children in the Child Welfare System.

OBJECTIVE: To examine predisposing, enabling, and need-related factors associated with dental utilization by children involved with the child welfare system (CWS). METHODS: Data were analyzed from the National Survey of Child and Adolescent Well-Being (NSCAW; Wave II), a national probability sample of children (2-17 years) following a welfare assessment during 2008-2009 (n = 2806). Caregiver-reported child receipt of dental services in the past year was the outcome in weighted logistic regression models. RESULTS: Two-thirds of children had a recent dental visit. Older children (OR 2.95, 95% CI 2.06,4.21 for ages 6-11; OR 2.47, CI 1.82, 3.37 for ages 12-17, compared to ages 2-5) were more likely to have visited the dentist, as were children of more educated caregivers (OR 1.68; CI 1.20, 2.36 for high school, OR 2.45; CI 1.71, 3.52 for more than high school). Children without a usual source of care (OR 0.50; CI 0.27, 0.94) and those living with non-biological parents had lower odds of a recent visit (OR 0.64; CI 0.43, 0.97). Children with dental problems were twice as likely to have a recent visit (OR 2.02; CI 1.21, 3.38), while children with unmet needs who could not afford care had lower odds of utilizing services (OR 0.28; CI 0.16, 0.46). CONCLUSIONS FOR PRACTICE: Many children in the CWS, especially younger children (ages 2-5), did not have a reported dental visit in the past year. Cost was a barrier, and caregiver status was associated with the likelihood of obtaining dental care. Health and social service providers should refer these children for dental care.

[Dental visits among people over 65; a study in a general dental clinic in Drenthe, the Netherlands]. / Tandartsbezoek van 65-plussers; onderzoek uit een algemene praktijk in Drenthe.

In this study, factors that may influence the dental visiting patterns of people over 65 living independently were investigated. The results of a questionnaire (n = 164; 53% response) revealed that 89% of them regularly visited the dentist for a check-up. Factors affecting dental visits were: whether or not one had difficulty planning a visit, whether or not one was motivated to make an appointment and actually made one, the condition of one's teeth; whether or not one had dental insurance and whether or not one reacted to a dental reminder (post)card. Mobility played no greater role among non-regular dental visitors than among regular visitors. Anticipating the possibility of an older patient living independently might fail to show by means of an active call policy seems more relevant than organising transport.

The Impact of the Affordable Care Act's Dependent Coverage Mandate on Use of Dental Treatments and Preventive Services.

BACKGROUND: Oral health problems are the leading chronic conditions among children and younger adults. Lack of dental coverage is thought to be an important barrier to care but little empirical evidence exists on the causal effect of private dental coverage on use of dental services. We explore the relationship between dental coverage and dental services utilization with an analysis of a natural experiment of increasing private dental coverage stemming from the Affordable Care Act's (ACA)-dependent coverage mandate. OBJECTIVES: To evaluate whether increased private dental insurance due to the spillover effect of the ACA-dependent coverage health insurance mandate affected utilization of dental services among a group of affected young adults. DATA: 2006-2013 Medical Expenditure Panel Surveys. STUDY DESIGN: We used a difference-in-difference regression approach comparing changes in dental care utilization for 25-year olds affected by the policy to unaffected 27-year olds. We evaluate effects on dental treatments and preventive services RESULTS:: Compared to 27-year olds, 25-year olds were 8 percentage points more likely to have private dental coverage in the 3 years following the mandate. We do not find compelling evidence that young adults increased their use of preventive dental services in response to gaining insurance. We do find a nearly 5 percentage point increase in the likelihood of dental treatments among 25-year olds following the mandate, an effect that appears concentrated among women. CONCLUSIONS: Increases in private dental coverage due to the ACA's-dependent coverage mandate do not appear to be driving significant changes in overall preventive dental services utilization but there is evidence of an increase in restorative care.

Oral Health, Dental Insurance and Dental Service use in Australia.

This study uses data from the 2004-2006 Australian National Survey of Adult Oral Health and a simultaneous equation framework to investigate the interrelationships between dental health, private dental insurance and the use of dental services. The results show that insurance participation is influenced by social and demographic factors, health and health behaviours. In turn, these factors affect the use of dental services, both directly and through insurance participation. Our findings confirm that affordability is a major barrier to visiting the dentist for oral health maintenance and treatment. Our results suggest that having supplementary insurance is associated with some 56 percentage points higher probability of seeing the dentist in the general population. For those who did not have private insurance cover, we predict that conditional on them facing the same insurance conditions, on average, having insurance would increase their visits to the dentist by 43 percentage points. The uninsured in the survey have lower income, worse oral health and lower rates of preventive and treatment visits. Copyright © 2015 John Wiley & Sons, Ltd.

Disparities in Preventive Dental Care Among Children in Georgia.

INTRODUCTION: We compared access to preventive dental care among low-income children eligible for public dental insurance to access among children with private dental insurance and/or high family income (>400% of the federal poverty level) in Georgia, and the effect of policies toward increasing access to dental care for low-income children. METHODS: We used multiple sources of data (eg, US Census, Georgia Board of Dentistry) to estimate, by census tract, measures of preventive dental care access in 2015 for children aged 0 to 18 years. Measures were percentage of met need, 1-way travel distance to a dentist, and scarcity of dentists. We used an optimization model to estimate access, quantify disparities, and evaluate policies. RESULTS: About 1.5 million children were eligible for public insurance; 600,000 had private insurance and/or high family income. Across census tracts, average met need was 59% for low-income children and 96% for high-income children; for rural census tracts, these values were 33% and 84%, respectively. The average 1-way travel distance for all census tracts was 3.7 miles for high-income and/or privately insured children and 17.2 miles for low-income children; for rural census tracts, these values were 11.6 and 32.9 miles, respectively. Increasing dentists' acceptance of public insurance-eligible children increased met need more in rural areas than in urban areas. To achieve 100% met need in rural tracts, however, an 80% participation rate among dentists would be required. CONCLUSION: Across census tracts, high-income children had better access to preventive dental care than low-income children had. Identifying tracts with disparities in access could result in more efficient allocation of public health dental resources.