Access to Dental Care for Children with Special Health Care Needs

Study question: Does frequent medical visits contribute to the receiving of dental care? Methods: Involved the conduction of cross-sectional study by utilizing data from a local area integrated telephone survey, the state’s annual module, and a national survey carried out in 2001for children with special care needs. Logistic regression analysis, as well as bivariate, were used for exploring the relationship between received of dental care, need factors, and predisposing. Results: Approximately 76% of the children within the districted were reported to need dental care. The children have required this type of care for averagely 12 months. From the high figure, only 13. The reasons ranged from the rural residence of the children, the age of the children, ethnicity, race, poverty, and lack of an insurance cover.

The hindering factors for children with special health care needs (CSHCN) are aggravated. The requirements of these children about potentially developing chronic emotional, behavioral, developmental or physical conditions are higher than in the ordinary child. As much as a considerable number of researchers are frim to the belief that no intervention will assist these children, other researchers have been looking into interventions that might prevent the occurrence of the barriers. A study dictates that the children that took part in the program for Women, infants, and children dabbed the Special Supplements Nutrition Program stood higher chances of receiving dental services. Demographic information was also utilized. The survey was the first one about analyzing the access to dental care for the CSHCN (Valéra, Noirrit‐Esclassan, Pasquet, & Vaysse, 2015).

A random digit survey was conducted about the families of children with CSHCN. The telephone interviewers were able to make calls to 750 families. Key variables The predisposing factors are inclusive of aspects that are existent before the onset of any illness. Statistical significance was tested using analysis techniques. Other aspects that were tested include logistic regression. Logistic regression was utilized to come up with an analysis of the children lacking access to dental care (Vujicic & Nasseh, 2014). Results Three tables represent the sample characteristics of the study. The first table consists of the section of survey respondents that reported a need for dental care within the previous year as well as the manner in which individuals are divided to come up with a conceptual framework.

The bivariate results are represented along the characteristics of the children that did not receive the required dental care alongside bivariate results. The most significant attribute that related to the receiving of dental services is the predisposing aspect of the minimum education level of the mother. As for the enabling qualities, lack of routine medical checkups, lack of insurance cover and low income topped the analysis list. Logistic regression analysis gave rise to the results in table 3. The results indicate an illustration of the CSHCN analysis within the fifth trustee district (Soares, Souto, Lofrano, & Colares, 2015). Furthermore, the study brings light to the fact that interdisciplinary practices are fundamental to the policy development procedure. The collaborative effort will be essential for fostering referral mechanisms between dental and medical providers (Staberg, Norén, Johnson, Kopp, & Robertson, 2014).

The results of such a study have to lead to the development of improved access to oral care through agencies such as the State Action for Oral Health Care Access Initiative. Many more CSHCN children can receive oral care through the revised provisions of Medicaid. Studies such as these have fostered the increase in treating children with disabilities. Soares, F. , Souto, G. , Lofrano, M. , & Colares, V. Anxiety related to dental care in children and adolescents in a low-income Brazilian community. , Pasquet, M. , & Vaysse, F. Oral complications and dental care in children with acute lymphoblastic leukaemia. Journal of Oral Pathology & Medicine, 44(7), 483-489. Vujicic, M. 3 Table 2: Prevalence of unmet need for dental care, according to population characteristics Variable/Characteristic Unweighted (n=2. 092) WEIGHTED % Prevalence of outcome by age in years {Birth to 5} 421 21 12-17 825 35.