Evidence map›Paper›PMID 38154895›Full record

ArticleBMJ open2023

Effectiveness of a culturally tailored diabetes education curriculum with real-time continuous glucose monitoring in a Latinx population with type 2 diabetes: the CUT-DM with CGM for Latinx randomised controlled trial study protocol.

Nicole Ehrhardt, Brian Cedeno, Laura Montour, Ka'imi Sinclair, Gary Ferguson, Peter Berberian, Bryan Comstock, Lorena Wright

Registry-linked trialOpen access · goldAbstract readClinical Trial Protocol
In one paragraph

Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05394844 (Study of a Culturally Tailored Diabetes Education Curriculum With Real-time Continuous Glucose Monitoring in a Latinx Population With Type 2 Diabetes), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 20% 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.

NCT05394844 nacompletednot on this map

Study of a Culturally Tailored Diabetes Education Curriculum With Real-time Continuous Glucose Monitoring in a Latinx Population With Type 2 Diabetes (The CUTDM With CGM Study)

TypeinterventionalSponsorUniversity of WashingtonRan2022 to 2024Enrolled120ConditionsDiabetes Type 2ArmsDexcom G6
3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
  3. 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 at 4 institutions in 1 country.

Nicole EhrhardtUW Medicine Diabetes Institute, Seattle, Washington, USA nehrhard@uw.edu.ORCID 0000-0003-1813-0789
Brian CedenoUniversity of Washington School of Medicine, Seattle, Washington, USA.
Laura MontourDepartment of Family Medicine, University of Washington, Seattle, Washington, USA.
Ka'imi SinclairWashington State University - Spokane, Seattle, Washington, USA.
Gary FergusonWashington State University, Pullman, Washington, USA.
Peter BerberianSea Mar Community Health Centers, Seattle, Washington, USA.
Bryan ComstockDepartment of Biostatistics, University of Washington, Seattle, Washington, USA.
Lorena WrightMedicine, University of Washington, Seattle, Washington, USA.
University of Washington · USCommunity Health Center · USWashington State University · USWashington State University Spokane · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe prevalence of type 2 diabetes (T2D) is increasing in the Latinx community. Despite telehealth and technology becoming more available, these resources are not reaching the Latinx population. Diabetes education is a cornerstone of treatment; however, access to culturally tailored content is a barrier to the Latinx population. Real-time continuous glucose monitoring (RT-CGM) is a patient-empowering tool that can improve glycaemic control, but it is not readily available for Latinx patients with T2D. We aim to evaluate a culturally tailored diabetes self-management education and support (DSMES) curriculum, using a team-based approach to improve glycaemic control, promote healthy behaviours and enhance patient access with the use of telehealth in Latinx individuals. The primary aim of the study is to evaluate the additive effectiveness of RT-CGM on glycaemia and behavioural changes among Latinx patients undergoing a culturally tailored DSMES. A sub aim of the study is to evaluate family members' change in behaviours.

methodsWe propose a randomised controlled trial of blinded versus RT-CGM with 100 Latinx participants with T2D who will receive DSMES via telemedicine over 12 weeks (n=50 per group). The study will be conducted at a single large federally qualified health centre system. The control group will receive culturally tailored DSMES and blinded CGM. The intervention group will receive DSMES and RT-CGM. The DSMES is conducted by community health educators weekly over 12 weeks in Spanish or English, based on participant's language preference. Patients in the RT-CGM group will have cyclical use with a goal of 50 days wear time. The primary outcomes are changes in haemoglobin A1c and CGM-derived metrics at 3 and 6 months. The secondary outcomes include participants' self-management knowledge and behaviour and household members' change in lifestyle. ETHICS AND DISSEMINATION: The study proposal was approved by the University of Washington ethics/institutional review board (IRB) Committee as minimal risk (IRB ID: STUDY00014396) and the Sea Mar IRB committee. TRIAL REGISTRATION NUMBER: ClinicalTrials.gov identifier: NCT05394844.

Indexed as

Blood Glucose Self-MonitoringDiabetes Mellitus, Type 2Blood GlucoseContinuous Glucose MonitoringCurriculumHispanic or LatinoHumansRandomized Controlled Trials as TopicBlood GlucoseDIABETES & ENDOCRINOLOGYGENERAL MEDICINE (see Internal Medicine)Health Equity

Identifiers

PMID38154895
PMCPMC10759074
OpenAlexW4390337681

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.