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Strengthen the Evidence for Maternal and Child Health Programs

Find Established Evidence


Displaying records 1 through 3 (3 total).

Binkley C, Garrett B, Johnson K. Increasing dental care utilization by Medicaid-eligible children: a dental care coordinator intervention. J Public Health Dent. 2010;70(1):76-84. Access Abstract

NPM: 13-2: Oral Health in Childhood
Intervention Components (click on component to see a list of all articles that use that intervention): CAREGIVER, Home Visit (caregiver), Educational Material (caregiver), Oral Health Product, Patient Navigation (Assistance), PROVIDER/PRACTICE, Outreach (Provider), Education/Training (caregiver)
Intervention Description: The aim of this study was to determine the effect of a dental care coordinator intervention on increasing dental utilization by Medicaid-eligible children compared with a control group.
Conclusion: The dental care coordinator intervention significantly increased dental utilization compared with similar children who received routine Medicaid member services. Public health programs and communities endeavoring to reduce oral health disparities may want to consider incorporating a dental care coordinator along with other initiatives to increase dental utilization by disadvantaged children.
Study Design: RCT
Significant Findings: Yes
Setting: Jefferson County in Louisville, KY
Target Audience: Children aged 4-15 years who currently or for 2 years prior had Medicaid insurance but have not had Medicaid dental claims filed for the previous 2 years
Data Source: Medicaid claims
Sample Size: Intervention (n=68) Control (n=68)
Age Range: not specified

Beazoglou T, Douglass J, Myne-Joslin V, Baker P, Bailit H. Impact of fee increases on dental utilization rates for children living in Connecticut and enrolled in Medicaid. J Am Dent Assoc. 2015;146(1):52-60. Access Abstract

NPM: 13-2: Oral Health in Childhood
Intervention Components (click on component to see a list of all articles that use that intervention): CAREGIVER, Outreach (caregiver), PROVIDER/PRACTICE, Outreach (Provider), POPULATION-BASED SYSTEMS, STATE, Medicaid Reform
Intervention Description: The authors obtained Medicaid eligibility, claims, and provider data before and after the fee increase, in 2006 and 2009 through 2012, respectively. Their analysis examined changes in utilization rates, service mix, expenditures, and dentists' participation. The authors qualitatively assessed the general impact of the recession on utilization rate changes.
Conclusion: The Medicaid fee increase, program improvements, and the recession had a dramatic impact on reducing disparities in children's access to dental care in Connecticut.
Study Design: QE: pretest-posttest
Significant Findings: No
Setting: Connecticut
Target Audience: Children continuously enrolled in Medicaid (Healthcare for UninSured Kids and Youth A program) for at least 11 months and 1 day within a calendar year
Data Source: Medicaid enrollment and encounter data
Sample Size: 2006 (n=161,130) 2009 (n=166,787) 2010 (n=204,550) 2011 (n=215,377) 2012 (n=214,680)
Age Range: not specified

Nietert PJ, Bradford WD, Kaste LM. The impact of an innovative reform to the South Carolina dental Medicaid system. Health Serv Res. 2005;40(4):1078-1091. Access Abstract

NPM: 13-2: Oral Health in Childhood
Intervention Components (click on component to see a list of all articles that use that intervention): CAREGIVER, Patient Navigation (Assistance), PROVIDER/PRACTICE, Outreach (Provider), POPULATION-BASED SYSTEMS, STATE, Medicaid Reform
Intervention Description: To evaluate the effectiveness of an innovative reform in 2000 to the Dental Medicaid program in South Carolina.
Conclusion: The January 2000 dental Medicaid reform in South Carolina had marked impact on Medicaid enrollees' access to dental services.
Study Design: QE: pretest-posttest
Significant Findings: Yes
Setting: South Carolina
Target Audience: Children aged 2-21 years enrolled in Medicaid
Data Source: Medicaid claims
Sample Size: 1998 (n=377,690) 1999 (n=447,069) 2000 (n=504,642)
Age Range: not specified

   

This project is supported by the Health Resources and Services Administration (HRSA) of the U.S. Department of Health and Human Services (HHS) under grant number U02MC31613, MCH Advanced Education Policy, $3.5 M. This information or content and conclusions are those of the author and should not be construed as the official position or policy of, nor should any endorsements be inferred by HRSA, HHS or the U.S. Government.