Evidence map›Paper›PMID 38944189›Full record

Observational studyThe Journal of pediatrics2024

Lipid Testing among Youth in Medicaid: The Role of Social Determinants of Health and Providers.

Tianyao Huo, Michelle I Cardel, Lindsay A Thompson, Dominick J Lemas, Thomas A Pearson, Matthew J Gurka

Abstract readObservational Study
In one paragraph

Observational study in The Journal of pediatrics, 2024. 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
–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

1 citing paper in PubMed.

  1. Review
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

6 authors.

Tianyao HuoIQVIA, Inc., Wayne, PA; Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL.
Michelle I CardelHealth Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL; WW International, Inc., New York, NY.
Lindsay A ThompsonDepartment of Pediatrics, Wake Forest University, Raleigh, NC.
Dominick J LemasHealth Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL.
Thomas A PearsonDepartment of Epidemiology, University of Florida, Gainesville, FL.
Matthew J GurkaUniversity of Virginia, Charlottesville, VA. Electronic address: mgurka@virginia.edu.

Funding

Using social networks to map and evaluate team science across CTSA hubsUL1TR001427 · NCATS · UNIVERSITY OF FLORIDA · PI MITCHELL, DUANE A. · 2015 to 2024
$37.2M
Together: Transforming and Translating Discovery to Improve HealthKL2TR001429 · NCATS · UNIVERSITY OF FLORIDA · PI GUIRGIS, FAHEEM W, LEEUWENBURGH, CHRISTIAAN · 2015 to 2023
$5.5M
Together: Transforming and Translating Discovery to Improve HealthTL1TR001428 · NCATS · UNIVERSITY OF FLORIDA · PI MCCORMACK, WAYNE T. · 2015 to 2023
$3.9M
Human milk metabolomics and microbe-host interactions associated with pediatric obesityK01DK115632 · NIDDK · UNIVERSITY OF FLORIDA · PI LEMAS, DOMINICK JOSEPH · 2019 to 2023
$831k
NCATS NIH HHS KL2 TR001429NCATS NIH HHS TL1 TR001428NCATS NIH HHS UL1 TR001427NIDDK NIH HHS K01 DK115632
6 · The paper itself

Abstract

objectiveTo assess recent temporal trends in guideline-compliant pediatric lipid testing, and to examine the influence of social determinants of health (SDoH) and provider characteristics on the likelihood of testing in youth. STUDY

designIn this observational, multiyear cross-sectional study, we calculated lipid testing prevalence by year among 268 627 12-year olds from 2015 through 2019 who were enrolled in Florida Medicaid and eligible for universal lipid screening during age 9 to 11, and 11 437 22-year olds (2017-2019) who were eligible for screening during age 17-21. We compared trends in testing prevalence by SDoH and health risk factors at two recommended ages and modeled the associations between patient characteristics and provider type on lipid testing using generalized estimating equations.

resultsTesting among 12-year olds remained low between 2015 through 2019 with the highest prevalence in 2015 (8.0%) and lowest in 2017 (6.7%). Screening compliance among 22-year olds was highest in 2017 (21.1%) and fell to 17.8% in 2019. Hispanics and non-Hispanic Blacks in both age groups had about 2%-3% lower testing prevalence than non-Hispanic Whites. Testing in 12-year olds was 12.3% vs 7.7% with and without obesity, and 14.4% vs 7.6% with and without antipsychotic use. Participants who saw providers who were more likely to prescribe lipid testing were more likely to receive testing (OR = 2.3, 95% CI 2.0-2.8, P < .001).

conclusionsAlthough lipid testing prevalence was greatest among high-risk children, overall prevalence of lipid testing in youth remains very low. Provider specialty and choices by individual providers play important roles in improving guideline-compliant pediatric lipid testing.

Indexed as

MedicaidSocial Determinants of HealthAdolescentChildCross-Sectional StudiesFemaleFloridaGuideline AdherenceHumansLipidsMaleMass ScreeningPrevalenceUnited StatesYoung AdultLipidsarea deprivationethnicitylipid testingprovider specialtyracesocial determinants of health

Identifiers

PMID38944189
PMCPMC11499013

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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.