Evidence map›Paper›PMID 39908082›Full record

ArticleJMIR diabetes2025

Enhancing Health Equity and Patient Engagement in Diabetes Care: Technology-Aided Continuous Glucose Monitoring Pilot Implementation Project.

Madhur Thakur, Eric W Maurer, Kim Ngan Tran, Anthony Tholkes, Sripriya Rajamani, Roli Dwivedi

Erratum issuedAbstract read
In one paragraph

Article in JMIR diabetes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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

5 · Who and what money

Authors and funding

6 authors.

Madhur ThakurInstitute for Health Informatics, Medical School, University of Minnesota, Minneapolis, MN, United States.ORCID https://orcid.org/0009-0005-8130-6945
Eric W MaurerCommunity-University Health Care Center, Office of Academic Clinical Affairs, University of Minnesota, Minneapolis, MN, United States.ORCID https://orcid.org/0000-0002-5337-1433
Kim Ngan TranCommunity-University Health Care Center, Office of Academic Clinical Affairs, University of Minnesota, Minneapolis, MN, United States.ORCID https://orcid.org/0009-0002-8792-7855
Anthony TholkesClinical and Translational Science Institute, Office of Academic Clinical Affairs, University of Minnesota, Minneapolis, United States.ORCID https://orcid.org/0000-0002-8854-5544
Sripriya RajamaniInstitute for Health Informatics, Medical School, University of Minnesota, Minneapolis, MN, United States.ORCID https://orcid.org/0000-0002-5941-7500
Roli DwivediCommunity-University Health Care Center, Office of Academic Clinical Affairs, University of Minnesota, Minneapolis, MN, United States.ORCID https://orcid.org/0000-0002-1094-0472

Funding

University of Minnesota Clinical and Translational Science Institute (UMN CTSI)UM1TR004405 · NCATS · UNIVERSITY OF MINNESOTA · PI Bruce R Blazar, Damien A Fair · 2023 to 2026
$30.8M
NCATS NIH HHS UM1 TR004405
6 · The paper itself

Abstract

Federally Qualified Health Centers (FQHCs) provide service to medically underserved areas and communities, providing care to over 32 million patients annually. The burden of diabetes is increasing, but often, the vulnerable communities served by FQHCs lag in the management of the disease due to limited resources and related social determinants of health. With the increasing adoption of technologies in health care delivery, digital tools for continuous glucose monitoring (CGM) are being used to improve disease management and increase patient engagement. In this viewpoint, we share insights on the implementation of a CGM program at an FQHC, the Community-University Health Care Center (CUHCC) in Minneapolis, Minnesota. Our intent is to improve diabetes management through better monitoring of glucose and to ensure that the CGM program enables our organization's overarching digital strategy. Given the resource limitations of our population, we provided Libre Pro devices to uninsured patients through grants to improve health care equity. We used an interdisciplinary approach involving pharmacists, nurses, and clinicians and used hemoglobin A1c (HbA1c) levels as a measure of diabetes management. We assessed the CGM program and noted key aspects to guide future implementation and scalability. We recruited 148 participants with a mean age of 54 years; 39.8% (59/148) self-identified their race as non-White, 9.5% (14/148) self-identified their ethnicity as Hispanic or Latino, and one-third (53/148, 35.8%) were uninsured. Participants had diverse language preferences, with Spanish (54/148, 36.5%), English (52/148, 35.1%), Somali (21/148, 14.2%), and other languages (21/148, 14.2%). Their clinical characteristics included an average BMI of 29.91 kg/m2 and a mean baseline HbA1c level of 9.73%. Results indicate that the CGM program reduced HbA1c levels significantly from baseline to first follow-up (P<.001) and second follow-up (P<.001), but no significant difference between the first and second follow-up (P=.94). We share key lessons learned on cultural and language barriers, the digital divide, technical issues, and interoperability needs. These key lessons are generalizable for improving implementation at FQHCs and refining digital strategies for future scalability.

Indexed as

CGMcliniciansconsumer health informaticscontinuous glucose monitoringdevicediabetesdiabetes mellitusDMglucose monitoringhealth equityhealth informaticshealth information technologynursespatient centered carepatient engagementpatient monitoringpharmaciststechnology-aided

Identifiers

PMID39908082
PMCPMC11840385

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.