Study Results
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View full resultsBasic Information
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COMPLETED
NA
30 participants
INTERVENTIONAL
2013-03-31
2013-08-31
Brief Summary
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Detailed Description
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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
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Study Design
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RANDOMIZED
PARALLEL
SUPPORTIVE_CARE
NONE
Study Groups
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Delayed Diastat
Mobile phone application Few Touch Application (FTA) in the regular version, with Diastat turned on in week 12 post-enrollment.
Few Touch Application
Users get access to the regular version of the Few Touch Application for Type 1 Diabetes.
Diastat
Users get the Few Touch Application with Diastat module activated.
Diastat
Few Touch Application with Diastat module turned on in week 4 post-enrollment.
Few Touch Application
Users get access to the regular version of the Few Touch Application for Type 1 Diabetes.
Diastat
Users get the Few Touch Application with Diastat module activated.
Interventions
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Few Touch Application
Users get access to the regular version of the Few Touch Application for Type 1 Diabetes.
Diastat
Users get the Few Touch Application with Diastat module activated.
Other Intervention Names
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Eligibility Criteria
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Inclusion Criteria
* Age over 18 years
* Has basic familiarity with mobile phones, and uses mobile phone on a daily basis.
Exclusion Criteria
* Unable to understand or conform to the guidelines when presented with the phone's software.
18 Years
ALL
No
Sponsors
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University of Tromso
OTHER
The Research Council of Norway
OTHER
University Hospital of North Norway
OTHER
Responsible Party
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Principal Investigators
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Stein Olav Skrøvseth, PhD
Role: PRINCIPAL_INVESTIGATOR
University Hospital of North Norway
Locations
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University Hopital of North Norway
Tromsø, , Norway
Countries
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References
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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.
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.
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.
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.
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.
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.
Other Identifiers
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2011/1939 (REK)
Identifier Type: -
Identifier Source: org_study_id
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