Evidence mapPaperPMID 40434817Full record

ArticleJMIR research protocols2025

Implementation and Evaluation of a Best Practice Advisory to Reduce Inequities in Technology Use for People With Type 1 Diabetes: Protocol for a Mixed Methods, Nonrandomized Controlled Trial.

Nestoras Mathioudakis, Risa Wolf, Abha Choudhary, Georgia Davis, Mary Pat Gallagher, Meenal Gupta, Manmohan Kamboj, Nicole Rioles, Emma Ospelt, Susan Thapa and 3 more

Registry-linked trialAbstract readClinical Trial Protocol
In one paragraph

Article in JMIR research protocols, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06931275 (Implementing Best Practice Advisories to Reduce Inequities in Technology Use for People With Type 1 Diabetes), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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.

NCT06931275 narecruitingnot on this map

Implementing Best Practice Advisories to Reduce Inequities in Technology Use for People With Type 1 Diabetes

TypeinterventionalSponsorT1D Exchange, United StatesRan2024 to 2027Enrolled1,178ConditionsDiabetes Mellitus, Type 1ArmsEMR-based BPA model, Placebo (EMR-based without BPA model)
3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. 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

13 authors.

Nestoras Mathioudakis *Division of Endocrinology, Diabetes & Metabolism, Department of Medicine, Johns Hopkins University, Baltimore, MD, United States.ORCID 0000-0002-0210-655X
Risa Wolf *Division of Pediatric Endocrinology, Department of Pediatrics, Johns Hopkins University, Baltimore, MD, United States.ORCID 0000-0001-7674-520X
Abha ChoudharyDivision of Endocrinology, Department of Pediatrics, The University of Texas Southwestern Medical Center, Dallas, TX, United States.ORCID 0000-0002-8340-3168
Georgia DavisDivision of Endocrinology, Metabolism & Lipids, Department of Medicine, Emory University, Grady Memorial Hospital, Atlanta, GA, United States.ORCID 0000-0001-9671-0063
Mary Pat GallagherNYU Langone Health, New York, NY, United States.ORCID 0000-0002-5844-2309
Meenal GuptaSeattle Children's Hospital, Seattle, WA, United States.ORCID 0000-0002-0869-7071
Manmohan KambojDivision of Endocrinology, Department of Pediatrics at the Ohio State University, Nationwide Children's Hospital, Columbus, OH, United States.ORCID 0009-0002-1635-6725
Nicole RiolesT1D Exchange, Boston, MA, United States.ORCID 0000-0002-3355-0565
Emma OspeltT1D Exchange, Boston, MA, United States.ORCID 0000-0002-4723-001X
Susan ThapaT1D Exchange, Boston, MA, United States.ORCID 0000-0002-4795-1116
Ruth S WeinstockSUNY Upstate Medical University, Syracuse, NY, United States.ORCID 0000-0001-5859-5666
Trevon WrightT1D Exchange, Boston, MA, United States.ORCID 0009-0000-0045-7797
Osagie EbekozienT1D Exchange, Boston, MA, United States.ORCID 0000-0002-8473-249X

Funding

Implementation of a diabetes navIgator to Mitigate disPArities and improve CGM upTake and sustained use across the lifespan of T1D (IMPACT T1D)R01DK134955 · JOHNS HOPKINS UNIVERSITY · 2025 to 2025
$474k
NIDDK NIH HHS R01 DK134955
6 · The paper itself

Abstract

backgroundContinuous advancements in diabetes technologies have improved self-management for people with type 1 diabetes. Continuous glucose monitoring and automated insulin delivery systems have enhanced the quality of life and glycemic outcomes while reducing severe hypoglycemia and diabetes ketoacidosis hospitalizations. Despite these benefits, racial inequities in the use of advanced diabetes technology (ADT) persist.

objectiveThis study aims to develop and evaluate a best practice advisory (BPA) within the electronic medical record (EMR) to reduce racial and ethnic disparities in ADT use. We hypothesize that an EMR-based BPA designed to standardize the prescribing of ADTs will minimize racial and ethnic disparities in ADT adoption or progression in use among pediatric and adult people with type 1 diabetes.

methodsThe Best Practice Advisories to Reduce Inequities in Technology Use (BPA-TECH) study will use a nonrandomized matched pair intervention design. Phase 1 will use qualitative methods to develop and refine the BPA, including focus groups and surveys of health care providers and people with type 1 diabetes or their caregivers. Phase 2 will evaluate the effectiveness of the BPA through a controlled before-after study of people with type 1 diabetes seen at 7 T1D Exchange Quality Improvement Collaborative (T1DX-QI) centers, with control people with type 1 diabetes matched from nonintervention T1DX-QI centers. The baseline and postintervention periods will be the 12 months before and 12 months after deployment of the BPA at the intervention centers, respectively. Eligibility criteria include people with type 1 diabetes aged ≥2 years with an EMR diagnosis of T1D during the baseline period. The primary outcome is the progression in ADT use from the baseline to postintervention periods.

resultsThis 3-year study began in July 2024, with data collection from key stakeholders for phase 1 qualitative research beginning in August 2024. For phase 2, we estimate approximately 3000 eligible non-Hispanic Black and Hispanic people with type 1 diabetes at the intervention centers and 15,000 matched controls. Data on ADT use, glycated hemoglobin (HbA

conclusionsThe BPA-TECH study aims to leverage health IT to address racial and ethnic disparities in ADT use among people with type 1 diabetes. By standardizing the approach to ADT prescribing for people with type 1 diabetes, the BPA-TECH has the potential to promote equity in diabetes management and improve clinical outcomes. The outcomes of this study will inform future efforts to reduce health care disparities.

trial registrationClinicalTrials.gov NCT06931275; https://clinicaltrials.gov/search?term=NCT06931275. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/71038.

Indexed as

Diabetes Mellitus, Type 1Healthcare DisparitiesAdultBlood Glucose Self-MonitoringChildElectronic Health RecordsFemaleHumansInsulinInsulin Infusion SystemsMaleNon-Randomized Controlled Trials as TopicSelf-ManagementInsulinautomated insulin delivery systembest practice advisoryclinical decision supportcontinuous glucose monitordisparitiesequityinsulin pumppractice advisorytype 1 diabetes

Identifiers

PMID40434817
PMCPMC12159554

What Socratic holds

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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 Socratic graph.