Effect of risk-based payment model on caries inequalities in preschool children assessed by geo-mapping

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BACKGROUND: To describe, with aid of geo-mapping, the effects of a risk-based capitation model linked to caries-preventive guidelines on the polarization of caries in preschool children living in the Halland region of Sweden.

METHODS: The new capitation model was implemented in 2013 in which more money was allocated to Public Dental Clinics surrounded by administrative parishes inhabited by children with increased caries risk, while a reduced capitation was allocated to those clinics with a low burden of high risk children. Regional geo-maps of caries risk based on caries prevalence, level of education and the families purchasing power were produced for 3-6-year-old children in 2010 (n = 10,583) and 2016 (n = 7574). Newly migrated children to the region (n = 344 in 2010 and n = 522 in 2016) were analyzed separately. A regional caries polarization index was calculated as the ratio between the maximum and minimum estimates of caries frequency on parish-level, based on a Bayesian hierarchical mapping model.

RESULTS: Overall, the total caries prevalence (dmfs > 0) remained unchanged from 2010 (10.6%) to 2016 (10.5%). However, the polarization index decreased from 7.0 in 2010 to 5.6 in 2016. Newly arrived children born outside Sweden had around four times higher caries prevalence than their Swedish-born peers.

CONCLUSIONS: A risk-based capitation model could reduce the socio-economic inequalities in dental caries among preschool children living in Sweden. Although updated evidence-based caries-preventive guidelines were released, the total prevalence of caries on dentin surface level was unaffected 4 years after the implementation.

Original languageEnglish
Article number3
JournalBMC Oral Health
Volume18
Issue number1
Pages (from-to)1-8
ISSN1472-6831
DOIs
Publication statusPublished - 2018

    Research areas

  • Capitation Fee/organization & administration, Child, Child, Preschool, Dental Caries/epidemiology, Female, Geography, Medical, Health Status Disparities, Humans, Male, Models, Economic, Risk Factors, Sweden/epidemiology

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