Evidence map›Paper›PMID 34632819›Full record

ArticleJournal of diabetes science and technology2022

Relationships Between Socioeconomic Status, Insurance Coverage for Diabetes Technology and Adverse Health in Patients With Type 1 Diabetes.

Estelle M Everett, Lauren E Wisk

Open access · greenAbstract read
In one paragraph

Article in Journal of diabetes science and technology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
4.5field-weighted citation impact, top 4% 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

27 citing papers in PubMed, 45 citations in OpenAlex.

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  9. Association Between Food Insecurity and Inability to Obtain Provider-Recommended Medications, Multidisciplinary Services, and Technology in Youth and Young Adults With Diabetes: A Cross-Sectional Study.Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists · 2025
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  15. Health disparities in the risk of severe acidosis: real-world evidence from the All of Us cohort.Journal of the American Medical Informatics Association : JAMIA · 2024
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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 at 1 institution in 1 country.

Estelle M EverettDepartment of Medicine, Division of Endocrinology, Diabetes, & Metabolism, David Geffen School of Medicine, University of California, Los Angeles, CA, USA.ORCID 0000-0002-7468-296X
Lauren E WiskDepartment of Medicine, Division of General Internal Medicine & Health Services Research, David Geffen School of Medicine, University of California, Los Angeles, CA, USA.ORCID 0000-0003-2932-4140
University of California, Los Angeles · US

Funding

Delivering contextualizing population data to patients to motivate health care transition preparationK01DK116932 · NIDDK · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI WISK, LAUREN ELISABETH · 2018 to 2023
$647k
NIDDK NIH HHS K01 DK116932NIDDK NIH HHS L40 DK129996
6 · The paper itself

Abstract

introductionInsulin pumps and continuous glucose monitors (CGM) have many benefits in the management of type 1 diabetes. Unfortunately disparities in technology access occur in groups with increased risk for adverse effects (eg, low socioeconomic status [SES], public insurance). RESEARCH DESIGN &

methodsUsing 2015 to 2016 data from 4,895 participants from the T1D Exchange Registry, a structural equation model (SEM) was fit to explore the hypothesized direct and indirect relationships between SES, insurance features, access to diabetes technology, and adverse clinical outcomes (diabetic ketoacidosis, hypoglycemia). SEM was estimated using the maximum likelihood method and standardized path coefficients are presented.

resultsHigher SES and more generous insurance coverage were directly associated with CGM use (β = 1.52, SE = 0.12,

conclusionsThe association between SES and insurance coverage and adverse outcomes was primarily mediated through diabetes technology use, suggesting that disparities in diabetes outcomes have the potential to be mitigated by addressing the upstream disparities in technology use.

Indexed as

Diabetes Mellitus, Type 1Blood GlucoseHumansInsulin Infusion SystemsInsurance CoverageSocial ClassTechnologyBlood Glucosecontinuous glucose monitordiabetic ketoacidosishypoglycemiainsulin pumpinsurance coveragesocioeconomic statustype 1 diabetes

Identifiers

PMID34632819
PMCPMC9264432
OpenAlexW3205715128

What OpenQuestion holds

Textmetadata
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.