Evidence map›Paper›PMID 30938594›Full record

ArticleJDR clinical and translational research2018

Child and Parent Demographic Characteristics and Oral Health Perceptions Associated with Clinically Measured Oral Health.

M Marcus, C A Maida, Y Wang, D Xiong, R D Hays, I D Coulter, S Y Lee, V W Spolsky, J Shen, J J Crall and 1 more

Abstract read
In one paragraph

Article in JDR clinical and translational research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. 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

11 authors.

M Marcus1 Division of Public Health and Community Dentistry, School of Dentistry, University of California, Los Angeles, CA, USA.ORCID 0000-0002-4351-2060
C A Maida1 Division of Public Health and Community Dentistry, School of Dentistry, University of California, Los Angeles, CA, USA.
Y Wang1 Division of Public Health and Community Dentistry, School of Dentistry, University of California, Los Angeles, CA, USA.ORCID 0000-0002-4822-6514
D Xiong1 Division of Public Health and Community Dentistry, School of Dentistry, University of California, Los Angeles, CA, USA.
R D Hays4 Department of Health Policy and Management, Fielding School of Public Health, University of California, Los Angeles, CA, USA.
I D Coulter1 Division of Public Health and Community Dentistry, School of Dentistry, University of California, Los Angeles, CA, USA.
S Y Lee7 Division of Constitutive & Regenerative Sciences, Section of Restorative Dentistry, School of Dentistry, University of California, Los Angeles, CA, USA.
V W Spolsky1 Division of Public Health and Community Dentistry, School of Dentistry, University of California, Los Angeles, CA, USA.ORCID 0000-0002-0643-2475
J Shen1 Division of Public Health and Community Dentistry, School of Dentistry, University of California, Los Angeles, CA, USA.
J J Crall1 Division of Public Health and Community Dentistry, School of Dentistry, University of California, Los Angeles, CA, USA.
H Liu1 Division of Public Health and Community Dentistry, School of Dentistry, University of California, Los Angeles, CA, USA.

Funding

Patient-Reported Oral Health Outcomes Measurement Information SystemU01DE022648 · NIDCR · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LIU, HONGHU · 2013 to 2016
$2.7M
NIDCR NIH HHS U01 DE022648
6 · The paper itself

Abstract

objectiveTo examine child and parent reports about the child's oral health and assess the associations of these reports with clinical assessments of oral health status by dental examiners.

methodsSurveys with 139 items for children and 133 items for parents were administered by Audio Computer-Assisted Self-Interview Software. In addition, the Children's Oral Health Status Index (COHSI) was computed from a dental examination.

resultsA total of 334 families with children ages 8 to 17 y participated at 12 dental practices in Los Angeles County. Ordinary least squares regression models were estimated separately for child and parent surveys to identify items uniquely associated with the COHSI. Ten of 139 items the children reported regarding their oral health were associated with the COHSI. The strongest associations were found for child's age, aesthetic factors (straight teeth and pleased with teeth), and cognitive factors related to perception of dental appearance (pleased/happy with the look of the child's mouth, teeth, and jaws). Nine of 133 parent items about the child's oral health were associated with the COHSI in the parent model, notably being a single parent, parent's gender, parent born in the United States, pleased or happy with the look of their child's teeth, and accessing the Internet.

conclusionThese child and parent survey items have potential to be used to assess oral health status for groups of children in programs and practices in lieu of dental screenings. KNOWLEDGE TRANSLATION STATEMENT: The paper's results inform the development of a toolkit that can be used by schools, public health agencies, and dental programs to identify children with low oral health status based on parents' and children's responses to survey items across demographic, physical, mental, and social domains. These survey items can be used to inform parents of the desirability of proactively addressing inadequacies in their child's oral health status, enabling them to more rationally address dental needs.

Indexed as

Esthetics, DentalOral HealthAdolescentChildDemographyDental CareHumansSurveys and QuestionnairesUnited Statesepidemiologyhealth services researchoral health statusoutcomes researchpediatric dentistrypsychosocial

Identifiers

PMID30938594
PMCPMC6794669

What OpenQuestion holds

Textmetadata
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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.