Evidence map›Paper›PMID 42125231›Full record

ArticleFrontiers in endocrinology2026

Building the evidence to address disparities in type 1 diabetes (BEAD-T1D): methods and design of a study examining barriers and promoters to diabetes device use in families with public insurance.

Lauren E Figg, Ricardo Medina Peñaranda, Daniel Garfias Silva, Sarah Hanes, Gary M Shaw, Lisa J Chamberlain, Diana Naranjo, Jennifer K Raymond, David M Maahs, Korey K Hood and 1 more

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In one paragraph

Article in Frontiers in endocrinology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Lauren E FiggDepartment of Pediatrics, Division of Pediatric Endocrinology, Stanford University, Stanford, CA, United States.
Ricardo Medina PeñarandaDepartment of Pediatrics, Division of Pediatric Endocrinology, Stanford University, Stanford, CA, United States.
Daniel Garfias SilvaDepartment of Pediatrics, Division of Pediatric Endocrinology, Stanford University, Stanford, CA, United States.
Sarah HanesDepartment of Pediatrics, Division of Pediatric Endocrinology, Stanford University, Stanford, CA, United States.
Gary M ShawDepartment of Pediatrics, Stanford University School of Medicine, Stanford, CA, United States.
Lisa J ChamberlainDepartment of Pediatrics, Stanford University School of Medicine, Stanford, CA, United States.
Diana NaranjoDepartment of Pediatrics, Division of Pediatric Endocrinology, Stanford University, Stanford, CA, United States.
Jennifer K RaymondDepartment of Pediatrics, Division of Pediatric Endocrinology, Children's Hospital of Los Angeles, University of Southern California, Los Angeles, Los Angeles, CA, United States.
David M MaahsDepartment of Pediatrics, Division of Pediatric Endocrinology, Stanford University, Stanford, CA, United States.
Korey K HoodDepartment of Pediatrics, Division of Pediatric Endocrinology, Stanford University, Stanford, CA, United States.
Ananta AddalaDepartment of Pediatrics, Division of Pediatric Endocrinology, Stanford University, Stanford, CA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Continuous glucose monitoring (CGM) and automated insulin delivery (AID) systems have led to improved outcomes in type 1 diabetes (T1D). Diabetes technology use in minoritized populations is 50% lower than more privileged groups. Tailored, multi-factorial interventions are needed to address disparities and improve technology uptake in minoritized youth with T1D. The Building the Evidence to Address Disparities in Type 1 Diabetes (BEAD-T1D) Study assesses drivers of disparities in CGM and AID use in youth with T1D and public insurance to develop an intervention to increase uptake of diabetes technology. This manuscript describes the rationale, design, and protocols of the study. BEAD-T1D is a prospective, mixed-methods study grounded in the social-ecological model informed by sequential triangulation. Study Aim 1 constructs an evidence base of barriers and promoters to CGM and AID use in youth with T1D and public insurance to formulate and test a pilot intervention to increase device uptake in minoritized populations. Study Aim 2 constructs an evidence base of barriers and promoters to recommending devices to youth with T1D and public insurance to formulate and test a pilot intervention for healthcare providers to increase recommendations of devices. The primary outcome is diabetes technology acceptance analyzed via descriptive statistics and univariate analyses to inform the systematic building of a multivariable model. BEAD-T1D lays the groundwork for future efforts to reduce disparities in the uptake and continued use of diabetes technology in marginalized populations. Interventions effective in increasing the uptake and continued use of diabetes technology in youth with T1D and public insurance are necessary to mitigate disparities.

Indexed as

Diabetes Mellitus, Type 1Healthcare DisparitiesInsulin Infusion SystemsAdolescentBlood GlucoseBlood Glucose Self-MonitoringChildContinuous Glucose MonitoringFemaleHumansInsulinMaleProspective StudiesSocioeconomic Disparities in HealthBlood GlucoseInsulinautomated insulin deliveryclinical trialscontinuous glucose monitoringdiabetes technologyhealth equitytype 1 diabetesunderrepresented populations

Identifiers

PMID42125231
PMCPMC13158088

What Socratic holds

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LicenceCC BY
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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 Socratic graph.