Evidence map›Paper›PMID 34301209›Full record

ArticleBMC oral health2021

Use of oral health care services in the United States: unequal, inequitable-a cross-sectional study.

Xiangqun Ju, Gloria C Mejia, Qiang Wu, Huabin Luo, Lisa M Jamieson

Abstract read
In one paragraph

Article in BMC oral health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Article
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  7. Trends and Risk Factors of Oral Health and Preventive Dental Care in Adults With Diabetes and Prediabetes: National Health and Nutrition Examination Survey 1999-2000 to 2017-2020.Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists · 2025
    Article
  8. Observational
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  10. Poor Oral Health Is Associated With Inflammation, Aortic Valve Calcification, and Brain Volume Among Forager-Farmers.The journals of gerontology. Series A, Biological sciences and medical sciences · 2024
    Article
  11. Article
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  13. Inequalities in the use of health services in a municipality in Southern Brazil in 2019: a cross-sectional study.Epidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil · 2023
    Article
  14. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Xiangqun JuAustralian Research Centre for Population Oral Health, Adelaide Dental School, The University of Adelaide, Adelaide Health and Medical Sciences Building, Adelaide, 5005, Australia. Xiangqun.ju@adelaide.edu.au.
Gloria C MejiaAustralian Research Centre for Population Oral Health, Adelaide Dental School, The University of Adelaide, Adelaide Health and Medical Sciences Building, Adelaide, 5005, Australia.
Qiang WuDepartment of Biostatistics, College of Allied Health Sciences, East Carolina University, Greenville, USA.
Huabin LuoDepartment of Public Health, Brody School of Medicine, East Carolina University, Greenville, USA.
Lisa M JamiesonAustralian Research Centre for Population Oral Health, Adelaide Dental School, The University of Adelaide, Adelaide Health and Medical Sciences Building, Adelaide, 5005, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSocial determinants drive disparities in dental visiting. Disparities can be measured simply by comparing outcomes between groups (inequality) but can also consider concepts of social justice or fairness (inequity). This study aimed to assess differences in dental visiting in the United States in terms of both social inequality and inequity.

methodsData were obtained from a cross-sectional study-the National Health and Nutrition Examination Survey (NHANES) 2015-2016, and participants were US adults aged 30+ years. The outcome of interest, use of oral health care services, was measured in terms of dental visiting in the past 12 months. Disparity was operationalized through education and income. Other characteristics included age, gender, race/ethnicity, main language, country of birth, citizenship and oral health status. To characterize existing inequality in dental service use, we examined bivariate relationships using indices of inequality: the absolute and relative concentration index (ACI and RCI), the slope index of inequality (SII) and relative index of inequality (RII) and through concentration curves (CC). Indirect standardization with a non-linear model was used to measure inequity.

resultsA total of 4745 US adults were included. Bivariate analysis showed a gradient by both education and income in dental visiting, with a higher proportion (> 60%) of those with lower educational attainment /lower income having not visited a dentist. The concentration curves showed pro-higher education and income inequality. All measures of absolute and relative indices were negative, indicating that from lower to higher socioeconomic position (education and income), the prevalence of no dental visiting decreased: ACI and RCI estimates were approximately 8% and 20%, while SII and RII estimates were 50% and 30%. After need-standardization, the group with the highest educational level had nearly 2.5 times- and the highest income had near three times less probability of not having a dental visit in the past 12 months than those with the lowest education and income, respectively.

conclusionThe findings indicate that use of oral health care is threatened by existing social inequalities and inequities, disproportionately burdening disadvantaged populations. Efforts to reduce both oral health inequalities and inequities must start with action in the social, economic and policy spheres.

Indexed as

Health Status DisparitiesIncomeAdultCross-Sectional StudiesDelivery of Health CareHumansNutrition SurveysOral HealthSocioeconomic FactorsUnited StatesConcentration curves (CC)Indices of inequalityInequalityInequity

Identifiers

PMID34301209
PMCPMC8299583

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Registered trials

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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.