CGM - Reimagine Primary Care

NCT ID: NCT04413578

Last Updated: 2020-06-04

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Clinical Phase

PHASE4

Total Enrollment

101 participants

Study Classification

INTERVENTIONAL

Study Start Date

2018-12-01

Study Completion Date

2019-12-31

Brief Summary

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To assess the impact of continuous glucose monitoring versus standard of care (e.g. a finger-prick protocol using a glucometer) on clinical outcomes, healthcare utilization, and cost in patients with type I or II diabetes treated within the Reimagine Primary Care clinics.

Detailed Description

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This is a parallel randomized controlled trial. Eligible patients who consent will be randomized to one of two groups: (1) the intervention group who will be given a Dexcom G6 for CGM, or (2) the control group who will follow their current standard finger-prick protocol via a provided Contour Next ONE glucometer. The CGM group must download the Dexcom G6 and Clarity mobile apps for data capture, whereas the standard of care group will use the Contour Next mobile app for their respective readings.

The Dexcom G6 captures real-time, dynamic glucose data every five minutes. Devices used in this study are FDA approved and commercially available.

Conditions

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Diabetes Mellitus, Type 2

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

PARALLEL

Parallel Randomized Control Trial
Primary Study Purpose

TREATMENT

Blinding Strategy

NONE

Patients were either randomized to the Dexcom G6 Device or the Contour NextOne a Standard of Care glucometer. Both subjects knew what they received after they were randomized.

Study Groups

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Dexcom G6 (Intervention Group)

• Intervention group: CGM using a Dexcom G6 to measure glycosylated hemoglobin levels every five minutes. Patients will be asked to download the Dexcom G6 and Clarity applications (to have access to their real-time data) and be given a link to complete an exit survey in REDCap near the end of their study participation. Data will be sent via Bluetooth and then exported by the Intermountain research team into a Tableau (or similar) dashboard for data analysis/comparison

Group Type EXPERIMENTAL

Dexcom G6

Intervention Type DEVICE

Continuous Glucose Monitor that, after applied, sends continuous glucose readings to to the patient's smartphone every 5 minutes. This allows the patients to receive more readings over a 24 hour period versus standard of care glucometer finger sticks.

Contour NextOne (Standard of Care) Glucometer

• Control group: A standard finger-prick protocol that will require patients to continue with their daily fingerprick regimen established by their physician. This group will be given a Contour Next One meter to ensure that each patient is receiving the same level of accuracy by the same device. A review by Ekhlaspour et al of 17 glucose meters demonstrated wide variability, with only two devices achieving the 2013 ISO standard (with the most accurate being the Contour Next). Patients in the control group will be asked to download the Contour Next application which will send data via Bluetooth similar to above. Data will be aggregated, and protected health information removed prior to analysis (by Intermountain Healthcare and Savvysherpa). At the end of the study, patients will be asked to complete a short survey in REDCap about their willingness to participate in future studies.

Group Type PLACEBO_COMPARATOR

Contour NextOne

Intervention Type DEVICE

A Standard of Care Glucometer with Bluetooth capability. The patient inserts a test strip into the device, takes a finger stick and collects a small blood sample on the tip of the strip to initiate the device to detect a glucose reading.

Interventions

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Dexcom G6

Continuous Glucose Monitor that, after applied, sends continuous glucose readings to to the patient's smartphone every 5 minutes. This allows the patients to receive more readings over a 24 hour period versus standard of care glucometer finger sticks.

Intervention Type DEVICE

Contour NextOne

A Standard of Care Glucometer with Bluetooth capability. The patient inserts a test strip into the device, takes a finger stick and collects a small blood sample on the tip of the strip to initiate the device to detect a glucose reading.

Intervention Type DEVICE

Eligibility Criteria

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Inclusion Criteria

* Type 1 or type 2 diabetes mellitus with a HbA1c ≥6.5%
* Patients that are currently managing their glucose levels for diabetes with a glucose meter (or will be prescribed one by their healthcare provider)
* Patients that are treated within the four Reimagine Primary Care clinics (Cottonwood Family Medicine, Cottonwood Senior, Avenues Internal Medicine, and Holladay Internal Medicine). • Patients 18-80 years of age

Exclusion Criteria

* Patients that are not managing their glucose levels for diabetes (and not advised to use a glucose monitor by their physician)
* Patients that are not treated within the four Reimagine Primary Care clinics
* Patients less than 18 years of age, and 81 years of age and older
* Patients with a diagnosis of dementia
* If the patient is currently using a Continuous Glucose Monitor
* Patients with previous hospitalization for hypoglycemia within the last 18 months
* No access to a mobile phone to download the Dexcom or Contour Next applications
* Patients who are pregnant or planning to become pregnant over the course of their six-month participation
Minimum Eligible Age

18 Years

Maximum Eligible Age

80 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Intermountain Health Care, Inc.

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Locations

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Holladay Internal Medicine

Holladay, Utah, United States

Site Status

Intermountain Cottonwood Family Practice

Murray, Utah, United States

Site Status

Intermountain Senior Clinic

Murray, Utah, United States

Site Status

Avenues Internal Medicine

Salt Lake City, Utah, United States

Site Status

Countries

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United States

References

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Lee PA, Greenfield G, Pappas Y. The impact of telehealth remote patient monitoring on glycemic control in type 2 diabetes: a systematic review and meta-analysis of systematic reviews of randomised controlled trials. BMC Health Serv Res. 2018 Jun 26;18(1):495. doi: 10.1186/s12913-018-3274-8.

Reference Type RESULT
PMID: 29940936 (View on PubMed)

Medical Advisory Secretariat. Home telemonitoring for type 2 diabetes: an evidence-based analysis. Ont Health Technol Assess Ser. 2009;9(24):1-38. Epub 2009 Oct 1.

Reference Type RESULT
PMID: 23074529 (View on PubMed)

Ekhlaspour L, Mondesir D, Lautsch N, Balliro C, Hillard M, Magyar K, Radocchia LG, Esmaeili A, Sinha M, Russell SJ. Comparative Accuracy of 17 Point-of-Care Glucose Meters. J Diabetes Sci Technol. 2017 May;11(3):558-566. doi: 10.1177/1932296816672237. Epub 2016 Oct 3.

Reference Type RESULT
PMID: 27697848 (View on PubMed)

Verkuilen J. Explanatory Item Response Models: A Generalized Linear and Nonlinear Approach by P. de Boeck and M. Wilson and Generalized Latent Variable Modeling: Multilevel, Longitudinal and Structural Equation Models by A. Skrondal and S. Rabe-Hesketh. Psychometrika. 2006 Jun;71(2):415-418. doi: 10.1007/s11336-005-1333-7. No abstract available.

Reference Type RESULT
PMID: 28197954 (View on PubMed)

Fong Y, Rue H, Wakefield J. Bayesian inference for generalized linear mixed models. Biostatistics. 2010 Jul;11(3):397-412. doi: 10.1093/biostatistics/kxp053. Epub 2009 Dec 4.

Reference Type RESULT
PMID: 19966070 (View on PubMed)

Musio M, Sauleau EA, Augustin NH. Resources allocation in healthcare for cancer: a case study using generalised additive mixed models. Geospat Health. 2012 Nov;7(1):83-9. doi: 10.4081/gh.2012.107.

Reference Type RESULT
PMID: 23242683 (View on PubMed)

Provided Documents

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Document Type: Informed Consent Form

View Document

Document Type: Study Protocol and Statistical Analysis Plan

View Document

Related Links

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Other Identifiers

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1050955

Identifier Type: -

Identifier Source: org_study_id

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