Evidence map›Paper›PMID 33858206›Full record

ArticleJournal of diabetes science and technology2021

Provider Implicit Bias Impacts Pediatric Type 1 Diabetes Technology Recommendations in the United States: Findings from The Gatekeeper Study.

Ananta Addala, Sarah Hanes, Diana Naranjo, David M Maahs, Korey K Hood

Registry-linked trialOpen access · greenAbstract read
In one paragraph

Article in Journal of diabetes science and technology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05211869 (T1DTechCHW), which is not on this map. Cited by 66 papers.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed
10.9field-weighted citation impact, top 1% 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.

NCT05211869 nacompletednot on this mapstarted 2022, after this paper: background citation

T1DTechCHW: Enhancing the Community Health Worker (CHW) Model to Promote Diabetes Technology Use in Young Adults From Underrepresented Minority Groups (YA-URMs) With Type 1 Diabetes (T1D)

TypeinterventionalSponsorAlbert Einstein College of MedicineRan2022 to 2025Enrolled119ConditionsDiabetes, Type 1 Diabetes, Young Adult, Diabetes MellitusArmsT1D-CATCH
3 · Its place in the literature

Who cites it

66 citing papers in PubMed, 93 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Implicit Bias in Health Professionals: A Scoping Review.International journal of environmental research and public health · 2026
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  15. The Experience of Discrimination Impacts Technology Readiness and Psychosocial States of Minoritized Families Living With Type 1 Diabetes: Findings From the BEAD-T1D Pilot Study.Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists · 2025
    Article
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6 more citing papers are in PubMed but not listed here.

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

5 authors at 1 institution in 1 country.

Ananta AddalaDepartment of Pediatrics, Division of Endocrinology, Stanford University, Stanford, CA, USA.ORCID 0000-0002-0508-4309
Sarah HanesDepartment of Pediatrics, Division of Endocrinology, Stanford University, Stanford, CA, USA.ORCID 0000-0001-9930-0350
Diana NaranjoDepartment of Pediatrics, Division of Endocrinology, Stanford University, Stanford, CA, USA.ORCID 0000-0001-8039-0616
David M MaahsDepartment of Pediatrics, Division of Endocrinology, Stanford University, Stanford, CA, USA.
Korey K HoodDepartment of Pediatrics, Division of Endocrinology, Stanford University, Stanford, CA, USA.ORCID 0000-0001-5730-7749
Stanford University · US

Funding

Training Research Leaders in Type 1 DiabetesK12DK122550 · NIDDK · STANFORD UNIVERSITY · PI MAAHS, DAVID MATTHEW · 2019 to 2023
$2.1M
NIDDK NIH HHS K12 DK122550
6 · The paper itself

Abstract

backgroundDiabetes technology use is associated with favorable type 1 diabetes (T1D) outcomes. American youth with public insurance, a proxy for low socioeconomic status, use less diabetes technology than those with private insurance. We aimed to evaluate the role of insurance-mediated provider implicit bias, defined as the systematic discrimination of youth with public insurance, on diabetes technology recommendations for youth with T1D in the United States.

methodsMulti-disciplinary pediatric diabetes providers completed a bias assessment comprised of a clinical vignette and ranking exercises (

resultsThe majority of providers [44.1 ± 10.0 years old, 83% female, 79% non-Hispanic white, 49% physician, 12.2 ± 10.0 practice-years] demonstrated bias (

conclusionsProvider bias to recommend technology based on insurance was common in our cohort and increased with years in practice. There are likely many reasons for this finding, including healthcare system drivers, yet as gatekeepers to diabetes technology, providers may be contributing to inequities in pediatric T1D in the United States.

Indexed as

Diabetes Mellitus, Type 1PhysiciansAdolescentAdultChildEthnicityFemaleHumansMaleMiddle AgedPrejudiceTechnologyUnited Statesdiabetes technologyhealth disparitiesimplicit biasinsuranceminority healthpediatric type 1 diabetes

Identifiers

PMID33858206
PMCPMC8442183
OpenAlexW3153617202

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.