ArticleJournal of public health dentistry2018
Association between type of health insurance and children's oral health, NHANES 2011-2014.
Article in Journal of public health dentistry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.
- Prenatal or Childhood Serum Levels of Vitamin D and Dental Caries in Paediatric Patients: A Systematic Review.Oral health & preventive dentistry · 2020Pooled it
- Dental Care Access for Young Children With Medicaid: Groundtruthing Online Data and Actual Access in the Chicago Metro Area.Journal of public health dentistry · 2026Article
- Projected Oral Health Outcomes and Costs Associated With Pediatric Medicaid Disenrollment.JAMA network open · 2026Article
- Medicaid Payments and Outcomes for Pediatric Dental Surgical Procedures by Site of Care.JAMA network open · 2025Article
- Article
- Impact of health insurance on the use of oral health services in the Peruvian population 2015-2019.BMC oral health · 2024Article
- Impact of migration on oral health outcomes of children in multi-beneficial kindergartens in Nanning, Southern China: a cross-sectional study.BMC oral health · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
objectivesTo examine the association between type of health insurance (public, uninsured, private, or other) and oral health outcomes for children in the United States using nationally representative surveillance data.
methodsUsing the National Health and Nutrition Examination Survey (2011/12-2013/14), logistic regression models were used to estimate the odds of any dental caries and any untreated caries by type of health insurance (public, uninsured, private, and other) for children aged 2-19 years, with adjustment for relevant individual and socioeconomic characteristics.
resultsAmong 6,057 children, the odds of having any dental caries or untreated caries was not significantly different for publicly insured and uninsured children compared to privately insured children, when adjusting for family income and education. Children in families with income to poverty ratios <200 percent had greater odds of caries and untreated caries relative to children in families with income to poverty ratios ≥400 percent. Children with less educated parents also experienced greater odds of caries and untreated caries.
conclusionsOral health outcomes, after adjusting for covariates, were similar for children with public and private health insurance. However, children in low-income families and with less educated parents had greater odds of untreated caries and dental caries, suggesting that initiatives focused on publicly insured populations may miss other vulnerable children of low socioeconomic status.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.