Evidence map›Paper›PMID 36054022›Full record

ArticleDiabetes care2022

Targeting Technology in Underserved Adults With Type 1 Diabetes: Effect of Diabetes Practice Transformations on Improving Equity in CGM Prescribing Behaviors.

Priyanka Mathias, Lakshmi Priyanka Mahali, Shivani Agarwal

Erratum issued Registry-linked trialOpen access · bronzeAbstract read
In one paragraph

Article in Diabetes care, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT07548372 (Supporting Primary Care Adoption, Resources, and Knowledge for Continuous Glucose Monitoring), which is not on this map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 6% 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.

NCT07548372 narecruitingnot on this mapstarted 2026, after this paper: background citation

Supporting Primary Care Adoption, Resources, and Knowledge for Continuous Glucose Monitoring

TypeinterventionalSponsorMontefiore Medical CenterRan2026 to 2028Enrolled20,000ConditionsDiabetes MellitusArmsEnhanced CGM Interventions, Standard of Care
3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

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  11. Reducing Inequity in the Use of Automated Insulin Delivery Systems by Adults With Type 1 Diabetes: Key Learnings From a Safety Net Diabetes Clinic Program.Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Priyanka MathiasFleischer Institute for Diabetes and Metabolism, Albert Einstein College of Medicine-Montefiore Medical Center, Bronx, NY.ORCID 0000-0002-9495-677X
Lakshmi Priyanka MahaliFleischer Institute for Diabetes and Metabolism, Albert Einstein College of Medicine-Montefiore Medical Center, Bronx, NY.
Shivani AgarwalFleischer Institute for Diabetes and Metabolism, Albert Einstein College of Medicine-Montefiore Medical Center, Bronx, NY.ORCID 0000-0003-4506-3702
Albert Einstein College of Medicine · US

Funding

Translational Research CoreP30DK020541 · NIDDK · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI STREAMSON C CHUA · 2015 to 2026
$27.7M
New York Regional Center for Diabetes Translation Research - Translational Intervention Methodology CoreP30DK111022 · NIDDK · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI JEFFREY GONZALEZ · 2016 to 2026
$7.8M
Identifying and Reducing Disparities in Outcomes Among Economically Vulnerable and Minority Young Adults with Type 1 DiabetesK23DK115896 · NIDDK · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI AGARWAL, SHIVANI · 2018 to 2022
$988k
NIDDK NIH HHS K23 DK115896NIDDK NIH HHS P30 DK020541NIDDK NIH HHS P30 DK111022
6 · The paper itself

Abstract

objectiveContinuous glucose monitoring (CGM) is associated with improved outcomes in type 1 diabetes, but racial-ethnic disparities exist in use. We were interested in examining whether addressing structural health care barriers would change provider prescribing behaviors to make CGM access more equitable. RESEARCH DESIGN AND

methodsFrom January 2019 to December 2021, we used multilevel stakeholder input to develop and implement several non-grant-funded practice transformations targeted toward equity, which included 1) developing a type 1 diabetes clinic, 2) conducting social needs assessments and management, 3) training support staff to place trial CGMs at the point of care, 4) optimizing prescription workflows, and 5) educating providers on CGM. Transformations were prioritized based on feasibility, acceptability, and sustainability. To examine effect on prescribing behaviors, we collected monthly aggregate data from the electronic medical record and performed multiple linear regression to examine and compare change in CGM prescriptions over the 3 years of transformation.

resultsIn total, we included 1,357 adults with type 1 diabetes in the analysis (mean ± SD age 38 ± 18 years; 30% Black [n = 406], 45% Hispanic [n = 612], 12% White [n = 164]; and 74% publicly insured [n = 1,004]). During the period of transformation, CGM prescription rates increased overall from 15% to 69% (P < 0.001). Improvements were seen equally among Black (12% to 72%), Hispanic (15% to 74%), and White adults (20% to 48%) (between-group P = 0.053).

conclusionsDiabetes practice transformations that target equity, offload provider burdens, and focus on feasible sustainable stakeholder-driven solutions can have powerful effects on provider prescribing behaviors to reduce root causes of inequity in CGM among underserved adults with type 1 diabetes. Continued focus is needed on upstream determinants of downstream CGM use.

Indexed as

Diabetes Mellitus, Type 1AdultBlood GlucoseBlood Glucose Self-MonitoringHumansMiddle AgedTechnologyYoung AdultBlood Glucose

Identifiers

PMID36054022
PMCPMC9649356
OpenAlexW4294316799

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.