Evidence map›Paper›PMID 41952364›Full record

ArticleJournal of diabetes research2026

Collaboration Around Technology Using Community Health Workers in Type 1 Diabetes (CATCH-T1D): Protocol and Preliminary Results for a Randomized Controlled Trial.

Shivani Agarwal, Molly Finnan, Kevin P Fiori, Ashby Walker, Clyde Schechter, Renee Whiskey, Andrew Telzak, Charlotte Chen, Jovan Milosavljevic, Astou Talla and 3 more

Abstract readClinical Trial Protocol
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of diabetes research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Shivani AgarwalFleischer Institute of Diabetes and Metabolism, Montefiore Medical Center-Albert Einstein College of Medicine, Bronx, New York, USA.ORCID https://orcid.org/0000-0003-4506-3702
Molly FinnanFleischer Institute of Diabetes and Metabolism, Montefiore Medical Center-Albert Einstein College of Medicine, Bronx, New York, USA.ORCID https://orcid.org/0009-0003-4362-0541
Kevin P FioriDepartment of Family and Social Medicine, Albert Einstein College of Medicine, Bronx, New York, USA, yu.edu.
Ashby WalkerDepartment of Health Services Research, Management and Policy, University of Florida, Gainesville, Florida, USA, ufl.edu.
Clyde SchechterNew York Regional Center for Diabetes Translation Research, Albert Einstein College of Medicine, Bronx, New York, USA, yu.edu.
Renee WhiskeyCommunity Health Worker Institute, Albert Einstein College of Medicine, Bronx, New York, USA, yu.edu.
Andrew TelzakDepartment of Family and Social Medicine, Albert Einstein College of Medicine, Bronx, New York, USA, yu.edu.
Charlotte ChenDepartment of Pediatrics (Pediatric Endocrinology & Diabetes), Montefiore Medical Center, Bronx, New York, USA, montefiore.org.
Jovan MilosavljevicFleischer Institute of Diabetes and Metabolism, Montefiore Medical Center-Albert Einstein College of Medicine, Bronx, New York, USA.
Astou TallaFleischer Institute of Diabetes and Metabolism, Montefiore Medical Center-Albert Einstein College of Medicine, Bronx, New York, USA.
Steven SanchezFleischer Institute of Diabetes and Metabolism, Montefiore Medical Center-Albert Einstein College of Medicine, Bronx, New York, USA.
Priyanka MathiasFleischer Institute of Diabetes and Metabolism, Montefiore Medical Center-Albert Einstein College of Medicine, Bronx, New York, USA.
Judith A LongDivision of General Internal Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA, upenn.edu.

Funding

Helmsley Charitable Trust G-2204-05171NIH HHS RO1DK132302
6 · The paper itself

Abstract

backgroundDiabetes technology use in Type 1 diabetes (T1D) is the standard of care given broad biological and psychosocial benefits. Hispanic and Non-Hispanic Black young adults are the fastest-growing demographic with T1D in the United States and face inequity in technology use, leading to poor outcomes. We explored whether community health workers (CHWs) could coaddress unmet social needs and navigation of T1D technology to improve standard of care and outcomes in this high-risk population.

methodsThe collaboration around technology using community health workers in Type 1 diabetes (CATCH-T1D) intervention enhances the CHW model by integrating social needs management with T1D technology navigation. CHWs trained at the Montefiore-Einstein CHW Institute navigate YA with T1D to technology by offering information access, shared decision-making, and health system-pharmacy coordination. We are performing an ongoing trial testing CATCH-T1D against usual care using a 9-month hybrid effectiveness-implementation design for 130 Hispanic and/or non-Hispanic Black young adults (18-35 years) with T1D at Montefiore Medical Center in the Bronx.

resultsOne hundred and eighteen participants have been randomized (48% F, 67% Hispanic, 72% Medicaid, mean HbA1c: 9.2%). Thus far, CHWs have conducted 476 follow-up encounters and resolved 24% of identified health-related social needs. Postintervention interviews showed high participant satisfaction and increased engagement with diabetes self-management due to CHWs' flexible communication, support with diabetes technology, and assistance with social needs, fostering trust in the healthcare system. DISCUSSION: CATCH-T1D is a specialized CHW model that simultaneously addresses social needs and navigation to diabetes technology, with potential to provide a new scalable model of care.

Indexed as

Community Health WorkersDiabetes Mellitus, Type 1AdolescentAdultBlack or African AmericanDigital HealthFemaleHispanic or LatinoHumansMaleRandomized Controlled Trials as TopicYoung Adultcommunity health workerdiabetesdiabetes technologydisparitiesethnicityinequityminorityraceType 1 diabetesyoung adult

Identifiers

PMID41952364
PMCPMC13062503

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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 OpenQuestion graph.