Examination of dental utilization of newly resettled adult refugees in Washington state enrolled in dental medicaid program.

Objective: To assess dental utilization of resettled adult refugees in Washington (WA) state and the demographic factors associated with dental utilization.

Methods: Data were collected between January 1, 2015, and December 31, 2015 for newly arrived adult refugees (>21 years) enrolled in Washington State dental Medicaid program. Three state agencies provided enrollment and claims data that included demographic information as well as number and types of dental claims, and time to first dental claim for the newly resettled adult refugee population.

Periodontal diseases in Africa.

Periodontal diseases, a group of complex conditions marked by an excessive immune response and periodontal tissue destruction, are a global health concern. Since 1990, the incidence of these diseases has doubled, with Western sub-Saharan Africa experiencing the highest burden. Accurate diagnosis and case identification are crucial for understanding the etiology, features of disease, research, treatment and prevention.

Dental Utilization of Refugee Children in Washington State Varies by Demographic Characteristics.

To assess factors associated with the dental utilization of refugee children in Washington state who received oral health care. This study used Medicaid data of newly arrived children who resettled in 2015. Demographics, refugee population density groups, special care needs, dates of dental encounters, and dental claim variables were analyzed using descriptive statistics, analysis of variance (ANOVA), regression analysis, and the Cox proportional-hazard ratios (P<0.

Acculturation and Children's dental service utilization in the United States.

Objective: The study examined changes in acculturation level, socio-economic status, and their association with preventive dental service use, receipt of restorative, or surgical care, and unmet dental needs.

Methods: Data from the Medical Expenditure Panel Survey (MEPS) for children aged 1 to 17 years from 2007 to 2015 were analysed. Firstly, a cross-sectional structural equation model (SEM) that included both a measurement model and a structural model was fitted simultaneously to obtain predicted latent variables for acculturation, socio-economic status (SES), dental service utilization, and unmet dental needs.