Role of Mobile Technology to Improve Diabetes Care in Adults With Type 1 Diabetes: the REMOTE-T1D Study, a Pilot Study

NCT ID: NCT01825382

Last Updated: 2014-05-21

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

100 participants

Study Classification

INTERVENTIONAL

Study Start Date

2012-12-31

Study Completion Date

2013-11-30

Brief Summary

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The goal of this prospective pilot study is to evaluate the use of remote technology (iBGStar in combination with Diabetes Manager App on iPhone) to patient related outcomes, and a hypoglycemia fear questionnaire. In the future, this study might lead to investigating the role of social media with mobile phones in Type 1 Diabetes (T1D) care. Moreover, the number of patients with T1D continues to increase, and such technology could conceivably help compensate for the shortages of endocrinologists providing care.

Detailed Description

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This is a single-center, prospective, randomized, 'open-label,' investigator initiated pilot study evaluating the role of mobile technology to improve diabetes care in adults with type 1 diabetes (REMOTE-T1D). We hypothesize that the use of mobile technology (iBGStar® technology \[iPhone® plus the BGStar®\]) will result in improvement in Patient Reported Outcomes (PRO), and Treatment Satisfactions with a possible reductions of glucose excursions, A1c, and severe hypoglycemia as compared to routine clinical care using traditional glucose meter SMBG-Accu-chek®. This study aims to demonstrate the efficacy of these technologies in a clinical setting with a hope to improve outcomes and health care cost savings.

The study will enroll 100 patients from the Barbara Davis Center Adult clinic over the age of 18 years who will be randomized in a 1:1 fashion to intervention group using mobile technology (iBG Star) vs. continued routine clinical care (control) using SMBG-Accu-chek meter. All subjects will be followed for study visits with similar frequency at baseline, 1-week, 1-month, 3-months, and 6-months and wear a continuous glucose monitor (CGM) using a DexCom SEVEN Plus® system in a blinded mode for 7 days at baseline (wk0), 1mo, 3mo, and 6mo.

Laboratory analysis for A1c will be performed at baseline, 1-month 3-months, and 6-months. Routine blood tests will be performed in all subjects at baseline, 3months, and 6-months. Blinded CGM data will be analyzed for mean blood glucose values, time spent in hyperglycemic (\>240, \>300mg/dl) and hypoglycemic (\<50, \<70, \<80 mg/dl) ranges and various indices of glycemic variability.

Conditions

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Type 1 Diabetes

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

PARALLEL

Primary Study Purpose

HEALTH_SERVICES_RESEARCH

Blinding Strategy

NONE

Study Groups

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Accu-chek Meter

Patients receiving the Accu-chek nano meter for use during the study.

Group Type NO_INTERVENTION

No interventions assigned to this group

iBGStar meter interventional Arm

Subjects are given iBGstar meter along with iPhone to use as interventional meter.

Group Type EXPERIMENTAL

iBGStar meter

Intervention Type DEVICE

Subjects will receive iBGStar meter and iPhone to use as meter during the study.

Interventions

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iBGStar meter

Subjects will receive iBGStar meter and iPhone to use as meter during the study.

Intervention Type DEVICE

Eligibility Criteria

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Inclusion Criteria

* Subjects that meet the following criteria will be considered for admission to the study:

1. Signed informed consent before any study-related activities
2. Male or female aged 18 years and older T1D duration \>1 year
3. A1c \<10%
4. Willingness to routinely practice at least 3-7 blood glucose measurements per day
5. Ability and willingness to adhere to the protocol including scheduled study visits and blinded CGM wear intermittently) for 6 months. During the weeks of blinded CGM wear, subjects will not be able to use their own real-time CGMs (if they own it)
6. Able to speak, read and write English

Exclusion Criteria

* Subjects will be excluded from the study if any of the following apply:

1. Pregnant or intention to become pregnant during the course of the study
2. Severe unexplained hypoglycemia requiring emergency treatment in the previous 6 months
3. Use of systemic or inhaled corticosteroids
4. History of hemoglobinopathies
5. Diagnosis of anemia
6. History of pancreatitis
7. Extensive skin changes/diseases that inhibit wearing a sensor on normal skin
8. Known allergy to adhesives
9. Current participation in another investigational study protocol. Must have completed a previous study at least 30 days prior to enrollment.
10. Any other condition, as determined by the investigator, which could make the subject unsuitable for the trial, impairs the subject's suitability for the trial, or impairs the validity of the informed consent
11. Subjects will not be allowed to use real-time CGM during the blinded CGM wear week.
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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Sanofi

INDUSTRY

Sponsor Role collaborator

Colorado Prevention Center

OTHER

Sponsor Role collaborator

University of Colorado, Denver

OTHER

Sponsor Role lead

Responsible Party

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Satish K. Garg

Professor of Medicine and Pediatrics, Editor in Chief DT&T

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Satish K Garg, MD

Role: PRINCIPAL_INVESTIGATOR

University of Colorado, Denver

Locations

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Barbara Davis Center

Aurora, Colorado, United States

Site Status

Countries

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United States

References

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Garg SK, Shah VN, Akturk HK, Beatson C, Snell-Bergeon JK. Role of Mobile Technology to Improve Diabetes Care in Adults with Type 1 Diabetes: The Remote-T1D Study iBGStar(R) in Type 1 Diabetes Management. Diabetes Ther. 2017 Aug;8(4):811-819. doi: 10.1007/s13300-017-0272-5. Epub 2017 May 29.

Reference Type DERIVED
PMID: 28555339 (View on PubMed)

Other Identifiers

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REMOTE-T1D

Identifier Type: -

Identifier Source: org_study_id

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