Dataset Information

The Impact of Policy Modifiable Factors on Inequalities in Rates of Child Dental Caries in Australia.

ABSTRACT: Background: Poor oral health in childhood can lead to adverse impacts later in life. We aimed to estimate the prevalence and population distribution of childhood dental caries in Australia and investigate factors that might ameliorate inequalities. Methods: Data from the nationally representative birth cohort Longitudinal Study of Australian Children (N = 5107), using questions assessing: The experience of dental caries during each biennial follow-up period (2-3 years to 10-11 years), socioeconomic position (SEP), and policy modifiable oral health factors. Results: The odds of dental caries were higher for children with lowest vs. highest SEP (adjusted OR (adjOR) 1.92, 95% CI 1.49-2.46), and lower where water was fluoridated to recommended levels (adjOR 0.53, 95% CI 0.43-0.64). There was no evidence of an association between caries experience and either reported sugary diet or tooth brushing. When SEP and fluoridation were considered in conjunction, compared to the highest SEP group with water fluoridation children in the lowest SEP with fluoridation had adjOR 1.54 for caries, (95% CI 1.14-2.07), and children in the lowest SEP without fluoridation had adjOR 4.06 (95% CI 2.88-5.42). For patterns of service use: The highest SEP group reported a greater percentage of service use in the absence of caries. Conclusions: Dental caries appears prevalent and is socially distributed in Australia. Policy efforts should consider how to ensure that children with dental caries receive adequate prevention and early care with equitable uptake.

SUBMITTER: Goldfeld S

PROVIDER: S-EPMC6604007 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

The Impact of Policy Modifiable Factors on Inequalities in Rates of Child Dental Caries in Australia.

Goldfeld Sharon S Francis Kate Louise KL Hoq Monsurul M Do Loc L O'Connor Elodie E Mensah Fiona F

International journal of environmental research and public health 20190603 11

<i>Background</i>: Poor oral health in childhood can lead to adverse impacts later in life. We aimed to estimate the prevalence and population distribution of childhood dental caries in Australia and investigate factors that might ameliorate inequalities. <i>Methods</i>: Data from the nationally representative birth cohort Longitudinal Study of Australian Children (N = 5107), using questions assessing: The experience of dental caries during each biennial follow-up period (2-3 years to 10-11 year ...[more]

PMID: 31163687

Similar Datasets

Project description:IntroductionThe Dental Caries Utility Index (DCUI) is a new oral health-specific health state classification system for adolescents, consisting of 5 domains: pain/discomfort, difficulty eating food/drinking, worried, ability to participate in activities, and appearance. Each domain has 4 response levels. This study aims to generate an Australian-specific utility algorithm for the DCUI.MethodsAn online survey was conducted using a representative sample of the adult Australian general population. The discrete choice experiment (DCE) was used to elicit the preferences on 5 domains. Then, the latent utilities were anchored onto the full health-dead scale using the visual analogue scale (VAS). DCE data were modeled using conditional logit, and 2 anchoring procedures were considered: anchor based on the worst health state and a mapping approach. The optimal anchoring procedure was selected based on the model parsimony and the mean absolute error (MAE).ResultsA total of 995 adults from the Australian general population completed the survey. The conditional logit estimates on 5 dimensions and levels were monotonic and statistically significant, except for the second level of the "worried" and "appearance" domains. The mapping approach was selected based on a smaller MAE between the 2 anchoring procedures. The Australian-specific tariff of DCUI ranges from 0.1681 to 1.ConclusionThis study developed a utility algorithm for the DCUI. This value set will facilitate utility value calculations from the participants' responses for DCUI in economic evaluations of dental caries interventions targeted for adolescents.HighlightsPreference-based quality-of-life measures (PBMs), which consist of a health state classification system and a set of utility values (a scoring algorithm), are used to generate utility weights for economic evaluations.This study is the first to develop an Australian utility value set for the Dental Caries Utility Index (DCUI), a new oral health-specific classification system for adolescents.The availability of a utility value set will enable using DCUI in economic evaluations of oral health interventions targeted for adolescents and may ultimately lead to more effective and efficient planning of oral health care services.

Project description:Monitoring social inequalities in dental caries is crucial for establishing priorities in oral health systems. This study aimed to assess economic inequalities in dental caries and its contributing factors among Iranian schoolchildren. Data were obtained from the first phase of the Shahroud Schoolchildren Eye Cohort Study in 2015. A total of 4992 children aged 6-12 years old were included in the analysis. Dental examinations were conducted following the diagnostic methods and standards of the Oral Health Examination Survey, as recommended by the World Health Organization. The concentration index (C) was utilized to assess economic inequalities in dental caries. Additionally, the decomposition of C was employed to explain the determinants of the measured inequalities. In total, 71.4% of the schoolchildren had dental caries in primary dentition (dft≥1), and 41.6% of the schoolchildren had dental caries in permanent dentition (DMFT≥1). The Cs of dft≥1, primary decayed teeth (pdt≥1), and permanent missing teeth (PMT≥1) were -0.136 (95% CI: -0.167, -0.104), -0.164 (95% CI: -0.194, -0.134), and -0.208 (95% CI: -0.262, -0.153), respectively, which indicates their more concentration among low-economic children. Conversely, pft≥1 and PFT≥1 had Cs of 0.327 (95% CI: 0.292, 0.361) and 0.218 (95% CI: 0.179, 0.256), showing more concentration among high-economic children. Basic health insurance coverage and age were the main contributors that explained 28.6% and 19.2% of the economic inequality in dft≥1, and 25.7% and 16.6% of the pdt≥1 inequality, respectively. Economic status, residence in rural areas, mother education, father education, and age were the main contributors to the measured inequality in pft≥1 by 80.5% and 26.5%, 21.9%, 22%, and -18.3%, respectively. Economic status, having a housekeeper mother, residence in rural areas, having basic health insurance coverage, mother education, and father education positively contributed to the measured inequality in PMT≥1 by 45.4%, 42.4%, 37.8%, 35.1%, 21.3%, and 15.2%, respectively, while age had a negative contribution of -19.3%. For PFT≥1, economic status, age, and father education accounted for 76%, 25.4%, and 20.3% of the measured inequality, respectively. Pro-rich economic inequalities were observed in children's primary and permanent teeth caries. Thus, government interventions to reduce these inequalities should aim to expand the coverage of basic and supplementary health insurance in line with increasing the coverage of dental health costs in these plans, training and providing access to required dental health services for low-socioeconomic children, including the poor, rural, and those who have low-educated parents and a housekeeper mother, especially at younger ages.

Project description:ObjectivesDental caries is the most common reason for hospital admissions for children aged 6-10 years in England. The prevalence in the experience of hospital admission is not uniform across all populations. This paper reports on the analysis of secondary data on dental hospital episodes for children residing in London, and its association with oral health inequalities.Design, setting and participantsRetrospective, non-identifiable patient data sourced from the Hospital Episode Statistics dataset was analysed. Finished consultant episodes (FCEs) were extracted for children aged 1-19 years, residing in London and admitted with a primary diagnosis of caries between 2015/2016 and 2020/2021.Outcome measuresThe number and rates of FCEs with a primary diagnosis of dental caries for children aged 1-19 years old was analysed for six consecutive financial years (2015/2016 to 2020/2021). To assess oral health inequalities in children experiencing hospital admission due to dental caries, several demographic variables were analysed: deprivation, age, and sex.ResultsBetween the financial years of 2015-2016 and 2020-2021, there were a total of 57 055 hospital admissions for dental caries for children aged 1-19 years (average rate of admission was 465.1 per 100 000 of children). A year-on-year decline was noted between 2015-2016 and 2020-2021. Regression analysis demonstrated clear social gradients with significant oral health inequalities; those from the most deprived areas experienced over two times the number of hospital admissions (58%). Children aged 4-9 years accounted for 68.9% (39 325) for the total dental hospital episodes from 2015-2016 to 2020-2021.ConclusionLondon's year-on-year reduction in hospital admission for dental caries is due to various factors including effective prevention interventions and an effective paediatric clinical care pathway. Sociodemographic factors remain to act as key predictors for hospital admission for child with dental caries. While health service level changes may reduce the number of hospital admissions, persistent child oral health inequalities continue to exist.

Project description:ObjectivesThe purpose of our study was to investigate the association of different socioeconomic and sociodemographic factors with dental caries in six-year-old children. Furthermore, we applied a district based approach to explore the distribution of dental caries among districts of low and high socioeconomic position (SEP).MethodsIn our cross-sectional study 5189 six-year-olds were included. This study was embedded in a prospective population-based birth cohort study in Rotterdam, the Netherlands, the Generation R Study. Parental education level, parental employment status, net household income, single parenting, and teenage pregnancy were considered as indicators for SEP. Dental caries was scored on intraoral photographs by using the decayed, missing, and filled teeth (dmft) index. We compared children without caries (dmft=0) to children with mild caries (dmft=1-3) or severe caries (dmft >3). Multinomial logistic regression analyses and binary logistic regression analyses were performed to study the association between SEP and caries, and between district and caries, respectively.ResultsOnly maternal education level remained significantly associated with mild caries after adjusting for all other SEP-indicators. Paternal educational level, parental employment status, and household income additionally served as independent indicators of SEP in children with severe caries. Furthermore, living in more disadvantaged districts was significantly associated with higher odds of dental caries.ConclusionDental caries is more prevalent among six-year-old children with a low SEP, which is also visible at the district level. Maternal educational level is the most important indicator of SEP in the association with caries.Clinical significanceOur results should raise concerns about the existing social inequalities in dental caries and should encourage development of dental caries prevention strategies. New knowledge about the distribution of oral health inequalities between districts should be used to target the right audience for these strategies.

Dataset Information

The Impact of Policy Modifiable Factors on Inequalities in Rates of Child Dental Caries in Australia.

Publications

The Impact of Policy Modifiable Factors on Inequalities in Rates of Child Dental Caries in Australia.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets