Literature DB >> 24753978

Utilization of dental services among Medicaid-enrolled children.

Ellen Bouchery1.   

Abstract

OBJECTIVE: To assess what characteristics of children and their communities are associated with lower dental service use rates, to support development of strategies to target subgroups of children with lower utilization. DATA SOURCE: The Medicaid Analytic Extract (MAX) 5-percent sample file, known as Mini- MAX 2008.
METHODS: Multivariate logistic regression was used to assess the association between enrollee and county characteristics and dental preventive and treatment service utilization. PRINCIPAL
FINDINGS: There is substantial variation in service use by age. Relative to a 9-year-old, a 2-year-old is 28 percentage points less likely, and a 15-year-old is 15 percentage points less likely, to receive a preventive dental service. Children enrolled in Medicaid for only part of the year were significantly less likely to receive a preventive or a treatment service relative to children covered by Medicaid for the full year. For preventive care, children enrolled for nine months were 15 percentage points less likely to have a service. Those enrolled for six months were 30 points less likely; those enrolled for three months were 41 points less likely. Children eligible for Medicaid based on disability were 9 and 6 percentage points less likely to receive a preventive or treatment service, respectively, than their counterparts who were eligible based on income alone.
CONCLUSIONS: This study identifies some subgroups of children who are particularly underserved and for whom states may need to devote more attention.

Entities:  

Keywords:  Dental Care; Dentistry; Medicaid; Pediatrics

Mesh:

Year:  2013        PMID: 24753978      PMCID: PMC3983737          DOI: 10.5600/mmrr.003.03.b04

Source DB:  PubMed          Journal:  Medicare Medicaid Res Rev        ISSN: 2159-0354


  2 in total

1.  Medicaid payment levels to dentists and access to dental care among children and adolescents.

Authors:  Sandra L Decker
Journal:  JAMA       Date:  2011-07-13       Impact factor: 56.272

Review 2.  Preventive oral health intervention for pediatricians.

Authors: 
Journal:  Pediatrics       Date:  2008-11-17       Impact factor: 7.124

  2 in total
  6 in total

1.  Delivery of Preventive Oral Health Services by Rurality: A Cross-Sectional Analysis.

Authors:  Caroline K Geiger; Ashley M Kranz; Andrew W Dick; Erin Duffy; Mark Sorbero; Bradley D Stein
Journal:  J Rural Health       Date:  2018-12-07       Impact factor: 4.333

2.  Use of preventive dental care among medicaid-enrolled, school-aged US children in immigrant and nonimmigrant families: trends in Pennsylvania From 2005 through 2010.

Authors:  Katherine Yun; Arina Chesnokova; Justine Shults; Andres Pinto; David M Rubin
Journal:  Am J Public Health       Date:  2014-10-16       Impact factor: 9.308

3.  Do baby teeth really matter? Changing parental perception and increasing dental care utilization for young children.

Authors:  Suchitra Nelson; Mary Beth Slusar; Jeffrey M Albert; Christine A Riedy
Journal:  Contemp Clin Trials       Date:  2017-05-04       Impact factor: 2.226

4.  Association between type of health insurance and children's oral health, NHANES 2011-2014.

Authors:  Erin L Duffy; Ashley M Kranz; Andrew W Dick; Mark Sorbero; Bradley D Stein
Journal:  J Public Health Dent       Date:  2018-08-31       Impact factor: 1.821

5.  Dental visits in Medicaid-enrolled youth with mental illness: an analysis of administrative claims data.

Authors:  Erica L Stockbridge; Eleena Dhakal; Stacey B Griner; Abiah D Loethen; Joseph F West; Joseph W Vera; Karabi Nandy
Journal:  BMC Health Serv Res       Date:  2020-12-11       Impact factor: 2.655

6.  An Interactive Parent-Targeted Text Messaging Intervention to Improve Oral Health in Children Attending Urban Pediatric Clinics: Feasibility Randomized Controlled Trial.

Authors:  Belinda Borrelli; Michelle Henshaw; Romano Endrighi; William G Adams; Timothy Heeren; Rochelle K Rosen; Beth Bock; Scott Werntz
Journal:  JMIR Mhealth Uhealth       Date:  2019-11-11       Impact factor: 4.773

  6 in total

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