Model Driven Diabetes Care

NCT ID: NCT01774149

Last Updated: 2015-09-16

Study Results

Results available

Outcome measurements, participant flow, baseline characteristics, and adverse events have been published for this study.

View full results

Basic Information

Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.

Recruitment Status

COMPLETED

Clinical Phase

NA

Total Enrollment

30 participants

Study Classification

INTERVENTIONAL

Study Start Date

2013-03-31

Study Completion Date

2013-08-31

Brief Summary

Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.

Patients with Diabetes Mellitus Type 1 using electronic self-help tools typically registers a large amount of data on their disease. The study intends to see if giving advanced feedback on these data can improve their blood glucose management.

Detailed Description

Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.

All patients will be given access to a mobile phone with the diabetes diary known as the Few Touch Application (FTA) installed. They may use either their own compatible Android handsets, or provided handsets. The study uses a delayed start design. Participants are randomized into two groups, who get access to the module "Diastat" after 4 and 12 weeks post-enrollment respectively. Each group uses the FTA with Diastat for 8 weeks post-intervention (i.e. access to Diastat).

Diastat is a module within FTA that provides data-driven feedback to the patients using their own data. This module is based on the data recorded in a previous trial \[1\]. Three submodules are part of Diastat; Periodicity detection and visualization, multiscale trend detection based on the c-SiZer algorithm \[2\], and situation matching for insulin dosage \[3\].

1. Skrøvseth SO et al, Diabetes Technol Ther (2012)
2. Skrøvseth SO et al, PLoS ONE (2012)
3. Skrøvseth SO et al, Accepted for Advanced Technologies and Treatments for Diabetes, Paris, France, 2013.

Conditions

See the medical conditions and disease areas that this research is targeting or investigating.

Diabetes Mellitus, Type 1

Study Design

Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.

Allocation Method

RANDOMIZED

Intervention Model

PARALLEL

Primary Study Purpose

SUPPORTIVE_CARE

Blinding Strategy

NONE

Study Groups

Review each arm or cohort in the study, along with the interventions and objectives associated with them.

Delayed Diastat

Mobile phone application Few Touch Application (FTA) in the regular version, with Diastat turned on in week 12 post-enrollment.

Group Type ACTIVE_COMPARATOR

Few Touch Application

Intervention Type DEVICE

Users get access to the regular version of the Few Touch Application for Type 1 Diabetes.

Diastat

Intervention Type DEVICE

Users get the Few Touch Application with Diastat module activated.

Diastat

Few Touch Application with Diastat module turned on in week 4 post-enrollment.

Group Type EXPERIMENTAL

Few Touch Application

Intervention Type DEVICE

Users get access to the regular version of the Few Touch Application for Type 1 Diabetes.

Diastat

Intervention Type DEVICE

Users get the Few Touch Application with Diastat module activated.

Interventions

Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.

Few Touch Application

Users get access to the regular version of the Few Touch Application for Type 1 Diabetes.

Intervention Type DEVICE

Diastat

Users get the Few Touch Application with Diastat module activated.

Intervention Type DEVICE

Other Intervention Names

Discover alternative or legacy names that may be used to describe the listed interventions across different sources.

Diabetesdagboka

Eligibility Criteria

Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.

Inclusion Criteria

* Confirmed diagnosis with Diabetes Mellitus type 1 for at least one year.
* Age over 18 years
* Has basic familiarity with mobile phones, and uses mobile phone on a daily basis.

Exclusion Criteria

* Severe complications due to their diabetes.
* Unable to understand or conform to the guidelines when presented with the phone's software.
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

Meet the organizations funding or collaborating on the study and learn about their roles.

University of Tromso

OTHER

Sponsor Role collaborator

The Research Council of Norway

OTHER

Sponsor Role collaborator

University Hospital of North Norway

OTHER

Sponsor Role lead

Responsible Party

Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.

Responsibility Role SPONSOR

Principal Investigators

Learn about the lead researchers overseeing the trial and their institutional affiliations.

Stein Olav Skrøvseth, PhD

Role: PRINCIPAL_INVESTIGATOR

University Hospital of North Norway

Locations

Explore where the study is taking place and check the recruitment status at each participating site.

University Hopital of North Norway

Tromsø, , Norway

Site Status

Countries

Review the countries where the study has at least one active or historical site.

Norway

References

Explore related publications, articles, or registry entries linked to this study.

Skrovseth SO, Arsand E, Godtliebsen F, Hartvigsen G. Mobile phone-based pattern recognition and data analysis for patients with type 1 diabetes. Diabetes Technol Ther. 2012 Dec;14(12):1098-104. doi: 10.1089/dia.2012.0160. Epub 2012 Oct 4.

Reference Type BACKGROUND
PMID: 23035775 (View on PubMed)

Skrovseth SO, Arsand E, Godtliebsen F, Joakimsen RM. Model driven mobile care for patients with type 1 diabetes. Stud Health Technol Inform. 2012;180:1045-9.

Reference Type BACKGROUND
PMID: 22874353 (View on PubMed)

Arsand E, Froisland DH, Skrovseth SO, Chomutare T, Tatara N, Hartvigsen G, Tufano JT. Mobile health applications to assist patients with diabetes: lessons learned and design implications. J Diabetes Sci Technol. 2012 Sep 1;6(5):1197-206. doi: 10.1177/193229681200600525.

Reference Type BACKGROUND
PMID: 23063047 (View on PubMed)

Skrovseth SO, Bellika JG, Godtliebsen F. Causality in scale space as an approach to change detection. PLoS One. 2012;7(12):e52253. doi: 10.1371/journal.pone.0052253. Epub 2012 Dec 27.

Reference Type BACKGROUND
PMID: 23300626 (View on PubMed)

Skrovseth SO, Arsand E, Godtliebsen F, Joakimsen RM. Model-driven diabetes care: study protocol for a randomized controlled trial. Trials. 2013 May 14;14:139. doi: 10.1186/1745-6215-14-139.

Reference Type BACKGROUND
PMID: 23672413 (View on PubMed)

Skrovseth SO, Arsand E, Godtliebsen F, Joakimsen RM. Data-Driven Personalized Feedback to Patients with Type 1 Diabetes: A Randomized Trial. Diabetes Technol Ther. 2015 Jul;17(7):482-9. doi: 10.1089/dia.2014.0276. Epub 2015 Mar 9.

Reference Type DERIVED
PMID: 25751133 (View on PubMed)

Other Identifiers

Review additional registry numbers or institutional identifiers associated with this trial.

2011/1939 (REK)

Identifier Type: -

Identifier Source: org_study_id

More Related Trials

Additional clinical trials that may be relevant based on similarity analysis.

Diabetes Clinical Decision Support
NCT05447806 RECRUITING NA
Childhood Diabetes
NCT00804232 UNKNOWN NA
TeleCare North Diabetes
NCT06134934 ACTIVE_NOT_RECRUITING NA