Evidence map›Paper›PMID 40081999›Full record

ArticleBMJ open2025

Demographic variation in continuous glucose monitoring utilisation among patients with type 1 diabetes from a US regional academic medical centre: a retrospective cohort study, 2018-2021.

Omer Atac, Kory R Heier, Daniela Moga, John Fowlkes, Min-Woong Sohn, Aaron J Kruse-Diehr, Teresa M Waters, Mary E Lacy

Abstract read
In one paragraph

Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Clin-STAR Corner: Practice Changing Advances in Diabetes Care.Journal of the American Geriatrics Society · 2025
    Review
  4. 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

8 authors.

Omer AtacDepartment of Health Management and Policy, University of Kentucky College of Public Health, Lexington, Kentucky, USA oatac@medipol.edu.tr.ORCID http://orcid.org/0000-0001-8984-9673
Kory R HeierDepartment of Biostatistics, University of Kentucky College of Public Health, Lexington, Kentucky, USA.
Daniela MogaDepartment of Pharmacy Practice and Science, University of Kentucky College of Pharmacy, Lexington, Kentucky, USA.ORCID http://orcid.org/0000-0002-3648-8197
John FowlkesDepartment of Pediatrics and Barnstable Brown Diabetes Center, University of Kentucky College of Medicine, Lexington, Kentucky, USA.
Min-Woong SohnDepartment of Health Management and Policy, University of Kentucky College of Public Health, Lexington, Kentucky, USA.
Aaron J Kruse-DiehrDepartment of Family and Community Medicine, University of Kentucky College of Medicine, Lexington, Kentucky, USA.
Teresa M WatersAugusta University School of Public Health, Augusta, Georgia, USA.
Mary E LacyDepartment of Epidemiology, University of Kentucky College of Public Health, Lexington, Kentucky, USA.ORCID http://orcid.org/0000-0002-8814-8725

Funding

Kentucky Center for Clinical and Translational ScienceUL1TR001998 · NCATS · UNIVERSITY OF KENTUCKY · PI HARTMANN, KATHERINE E, KERN, PHILIP A · 2016 to 2025
$34.2M
Institutional Career Development CoreKL2TR001996 · NCATS · UNIVERSITY OF KENTUCKY · PI BUSH, MATTHEW LEE, KELLY, THOMAS H. · 2016 to 2025
$7.1M
NCATS NIH HHS KL2 TR001996NCATS NIH HHS UL1 TR001998
6 · The paper itself

Abstract

objectiveWhile continuous glucose monitoring (CGM) utilisation has been increasing among patients with type 1 diabetes (T1D), few studies have examined patterns of use across age, race/ethnicity and insurance status together. In this study, we examine CGM utilisation among patients with T1D from a regional academic medical centre across all insurance types. DESIGN AND

settingThis is a retrospective cohort study including both paediatric and adult patients with T1D who visited a regional academic medical centre between 1 January 2018 and 31 December 2021.

methodsPatients were followed from the date of their first T1D encounter during the study period until the first of the following: CGM use was documented, ≥730 days with no encounters at this centre or the end of the study period. We compared CGM use across demographic and clinical characteristics and used logistic regression models to assess the association between demographic variables and CGM utilisation.

resultsAmong 3311 eligible patients with T1D, CGM utilisation was 51.22%. The highest utilisation rates were among patients <18 years old while the lowest rates were among those in the 65+ years age group. Patients with private insurance and those who attended diabetes self-management education and support (DSMES) programmes had significantly higher CGM utilisation than those with public insurance and those who did not attend DSMES, respectively. In models stratified by age, we examined patterns of CGM use across insurance categories and found that CGM rates were persistently low among those with public versus private insurance.

conclusionsIn this retrospective review of patients with T1D receiving care at a regional academic medical centre from 2018 to 2021, nearly half of our sample used CGM. However, we found substantial variation in CGM utilisation with lower rates among older versus younger adults and individuals covered by public versus private insurance. Enhancing CGM access is important to mitigate diabetes-related complications for all patients with T1D.

Indexed as

Blood Glucose Self-MonitoringDiabetes Mellitus, Type 1Academic Medical CentersAdolescentAdultAgedAge FactorsBlood GlucoseChildChild, PreschoolContinuous Glucose MonitoringFemaleHumansInsurance, HealthMaleMiddle AgedBlood GlucoseElectronic Health RecordsEpidemiological studyGeneral diabetes

Identifiers

PMID40081999
PMCPMC11907049

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Registered trials

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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.