Evidence map›Paper›PMID 32067398›Full record

ArticleClinical and experimental dental research2020

Computerized adaptive testing and short form development for child and adolescent oral health patient-reported outcomes measurement.

Jie Shen, Ron D Hays, Yan Wang, Marvin Marcus, Carl A Maida, Di Xiong, Steve Y Lee, Vladimir W Spolsky, Ian D Coulter, James J Crall and 1 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Clinical and experimental dental research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 44% of its field
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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

11 authors at 1 institution in 1 country.

Jie ShenPublic Health and Community Dentistry, School of Dentistry, University of California, Los Angeles (UCLA), California, Los Angeles, USA.ORCID 0000-0003-2187-2273
Ron D HaysUCLA Department of Medicine, David Geffen School of Medicine, Los Angeles, USA.
Yan WangDepartment of biostatistics, UCLA, California, Los Angeles, USA.ORCID 0000-0002-4822-6514
Marvin MarcusPublic Health and Community Dentistry, School of Dentistry, University of California, Los Angeles (UCLA), California, Los Angeles, USA.
Carl A MaidaPublic Health and Community Dentistry, School of Dentistry, University of California, Los Angeles (UCLA), California, Los Angeles, USA.
Di XiongDepartment of biostatistics, UCLA, California, Los Angeles, USA.
Steve Y LeePublic Health and Community Dentistry, School of Dentistry, University of California, Los Angeles (UCLA), California, Los Angeles, USA.
Vladimir W SpolskyPublic Health and Community Dentistry, School of Dentistry, University of California, Los Angeles (UCLA), California, Los Angeles, USA.
Ian D CoulterPublic Health and Community Dentistry, School of Dentistry, University of California, Los Angeles (UCLA), California, Los Angeles, USA.
James J CrallPublic Health and Community Dentistry, School of Dentistry, University of California, Los Angeles (UCLA), California, Los Angeles, USA.
Honghu LiuPublic Health and Community Dentistry, School of Dentistry, University of California, Los Angeles (UCLA), California, Los Angeles, USA.
University of California, Los Angeles · US

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

objectivesTo develop computerized adaptive testing (CAT) and short forms of self-report oral health measures that are predictive of both the children's oral health status index (COHSI) and the children's oral health referral recommendation (COHRR) scales, for children and adolescents, ages 8-17. MATERIAL AND

methodsUsing final item calibration parameters (discrimination and difficulty parameters) from the item response theory analysis, we performed post hoc CAT simulation. Items most frequently administered in the simulation were incorporated for possible inclusion in final oral health assessment toolkits, to select the best performing eight items for COHSI and COHRR.

resultsTwo previously identified unidimensional sets of self-report items consisting of 19 items for the COHSI and 22 items for the COHRR were administered through CAT resulting in eight-item short forms for both the COHSI and COHRR. Correlations between the simulated CAT scores and the full item bank representing the latent trait are r = .94 for COHSI and r = .96 for COHRR, respectively, which demonstrated high reliability of the CAT and short form.

conclusionsUsing established rigorous measurement development standards, the CAT and corresponding eight-item short form items for COHSI and COHRR were developed to assess the oral health status of children and adolescents, ages 8-17. These measures demonstrated good psychometric properties and can have clinical utility in oral health screening and evaluation and clinical referral recommendations.

Indexed as

Computer SimulationOral HealthPatient Reported Outcome MeasuresAdolescentChildFeasibility StudiesFemaleHumansMalePsychometricsReproducibility of Resultscomputerized adaptive testingoral healthPROMISshort form

Identifiers

PMID32067398
PMCPMC7025990
OpenAlexW2998294425

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.