Evidence map›Paper›PMID 35726463›Full record

ArticleJournal of public health dentistry2022

Racial and ethnic disparities in oral healthcare quality among children enrolled in Medicaid and CHIP.

Jill Boylston Herndon, Diptee Ojha

Abstract read
In one paragraph

Article in Journal of public health dentistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

2 authors.

Jill Boylston HerndonKey Analytics and Consulting, LLC, Sarasota, Florida, USA.ORCID 0000-0003-4517-3776
Diptee OjhaDental Quality Alliance, American Dental Association, Chicago, Illinois, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesAddressing inequities in oral health care requires identification of which populations are experiencing performance gaps and the extent of those gaps. This study used Dental Quality Alliance (DQA) measures to examine variations in quality by race and ethnicity.

methodsWe used eligibility and claims data for 2018 for children aged <21 years for state Medicaid/CHIP programs available through the Transformed Medicaid Statistical Information System. For a subset of states with sufficient data quality, we calculated DQA measures of utilization of services, oral evaluation, and topical fluoride. The measures were stratified by race and ethnicity, age, sex, geographic location, and language. We used bivariate logistic regression to analyze relative disparities.

resultsVariations in measure scores were noted between racial and ethnic groups. Measure scores were typically lower for non-Hispanic black and American Indian/Alaskan Native children and higher for non-Hispanic Asian and Hispanic children compared with non-Hispanic white children. There also was variation in the patterns of disparities between states. More than two-thirds of states had insufficient race and ethnicity data (>10% missing) to reliably report stratified measure scores.

conclusionsBecause disparities vary by state, each Medicaid/CHIP program should evaluate variations in care quality in the context of the population it serves. A critical first step is to improve collection of race and ethnicity. These measurements can be used to set improvement goals that not only raise quality of care for the population overall but also close gaps in performance between racial and ethnic groups.

Indexed as

EthnicityMedicaidBlack or African AmericanChildHealthcare DisparitiesHispanic or LatinoHumansQuality of Health CareUnited Statesdental care for childrenhealth carehealthcare disparitiesMedicaidquality indicators

Identifiers

PMID35726463
PMCPMC9543656

What OpenQuestion holds

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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.