- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT03455816
Clinical Study to Evaluate the Bio-Psychosocial Impact of Mobile App for Diabetes Type 1 ("SOCIAL DIABETES")
Randomized Clinical Study to Evaluate the Bio-Psychosocial Impact of a Mobile App for Diabetes ("SOCIAL DIABETES") and a SMARTMETER® (A. MENARINI DIAGNOSTICS) in the Care of People With Diabetes Mellitus Type 1 and Its Associated Costs
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Randomized study in people with type 1 diabetes in intensive insulin therapy MDI with analogues and with HbA1c> 7% to the usual clinical follow-up options (CG) vs use of Social Diabetes App (GI) for 6 months.
The current clinical research project considers the effectiveness of a free diabetes app with a CE mark, "Social Diabetes", which incorporates the addition of a glucometer ("Glucomen Areo") it allows using NFC (Near Field Communication) technology the automatic introduction of data, evaluating the impact on metabolic results and other related psychosocial variables, in people with diabetes 1.
The substitution of the usual face-to-face medical visit every 3-4 months by the incorporation of an app system has a similar effect in terms of glycemic control (measured through HbA1c) in patients with DM1 treated with multiple doses of insulin per day (MDI). ) and inadequate metabolic control (HbA1c> 7%). In addition, it could save costs and consumption of health resources, and improve both the quality of life and the satisfaction of people with DM1.
The present study will be carried out under the usual conditions of clinical practice.
No pharmacological intervention, other than the usual clinical practice, will be applied to the included patients.
The people with diabetes 1 included in the study have a profile of "expert patient" having completed their diabetological education program at basic and advanced level (count of rations, calculations of ratios and sensitivity indexes) in such a way that the application will only be an aid in your daily decision making (mathematical calculations of ratios, IS, and recommended insulin doses, which you usually have to do "by hand").
Study Type
Enrollment (Anticipated)
Phase
- Not Applicable
Contacts and Locations
Study Contact
- Name: Maria Soledad Ruiz de Adana, MD PhD
- Phone Number: +34 629221089
- Email: solruizdeadana@gmail.com
Study Locations
-
-
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Málaga, Spain
- Recruiting
- Regional University Hospital of Malaga
-
Contact:
- Maria Soledad Ruiz de Adana, MD PhD
- Phone Number: +34 629221089
- Email: solruizdeadana@gmail.com
-
Principal Investigator:
- Virginia Morillas Jiménez, MD PhD
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
- Patients with DM1 over 1 year evolution.
- Age ≥18 and <65 years.
- HbA1c prior to the inclusion of the study> 7%.
- Intensive insulin treatment with MDI in basal-bolus regimen.
- Patients with basic digital skills and with 3G mobile phone and NFC technology.
- Patients who have given their informed consent in writing.
Exclusion Criteria:
- Treatment with subcutaneous insulin infusor (ISCI)
- Chronic kidney disease, liver disease, thyroid dysfunction (except hypothyroidism correctly treated and controlled).
- Pregnancy or pregnancy planning.
- Diabetes mellitus type 2.
- Severe psychological alterations.
- Absence of collaboration (informed consent).
- Patients who are participating in other clinical studies.
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Treatment
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
---|---|
Experimental: Group that uses the Social Diabetes App (research group)
This group use the App Social diabetes with the glucometer Glucomen Areo to monitoring the glucemia during 6 month
|
Social diabetes is an app for diabetes, free with CE mark, that by means of the incorporation of a glucometer ("glucomen Areo") allows through NFC technology the automatic introduction of data in the application
|
Active Comparator: Usual clinical monitoring group (control group)
This group does not use the App.
This group have an intermediate visit at 3 months with de doctor to see blood glucose self-monitoring and propose adjustments
|
Active Comparator: Usual clinical monitoring group (control group) This group does not use the App.
This group have an intermediate visit at 3 months with de doctor to see blood glucose self-monitoring and propose adjustments
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
glycosylated hemoglobin
Time Frame: 6 month
|
Metabolic impact measured through HbA1c of a mobile application (Social Diabetes) in the care of people with DM1.
|
6 month
|
Quality of life assessment: Diabetes Quality of Life (DQoL) questionnaire.
Time Frame: 6 month
|
34 items to analyze the biopsychosocial impact measured through the quality of life questionnaire (DQol) of a mobile application (Social Diabetes) in the care of people with DM1.
|
6 month
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Mean blood glucose
Time Frame: 6 month
|
Glycemic control: Mean blood glucose measured in mg / dl
|
6 month
|
Standard deviation
Time Frame: 6 month
|
Glycemic variability: Standard deviation ( SD)
|
6 month
|
Number of mild hypoglycaemia
Time Frame: 6 month
|
Number of mild hypoglycemia in two weeks
|
6 month
|
Number of severe hypoglycaemia
Time Frame: 6 month
|
Number of severe hypoglycaemia in the last 6 months
|
6 month
|
Number of hyperglycemia
Time Frame: 6 month
|
Number of hyperglycemia greater than 250mg / dl in two weeks
|
6 month
|
Episodes of ketosis
Time Frame: 6 month
|
Number of episodes of ketosis in the last 6 months
|
6 month
|
Episodes of ketoacidosis
Time Frame: 6 month
|
Number of episodes of ketoacidosis in the last 6 months
|
6 month
|
Number of hospital admissions for glycemic decompensation
Time Frame: 6 month
|
Number of hospital admissions for glycemic decompensation in the last 6 months.
|
6 month
|
Fear of hypoglycemia: Questionnaire FH-15
Time Frame: 6 month
|
Fear of hypoglycemia: measured with the FH-15 scale.
15 items related to the fear of hypoglycemia in patients with type 1 diabetes.
|
6 month
|
Diabetes treatment satisfaction questionnaire ( DTSQ)
Time Frame: 6 month
|
8 items concerning the satisfaction of the treatment
|
6 month
|
Diabetes distress scale. DDS
Time Frame: 6 month
|
17 items on the problems and stress that people with type 1 diabetes suffer (Polonski y col,2005)
|
6 month
|
Scale of adherence to treatment in patients with diabetes type 1
Time Frame: 6 month
|
15 items related to adherence to patient treatment
|
6 month
|
Collaborators and Investigators
Sponsor
Publications and helpful links
General Publications
- Whitehead L, Seaton P. The Effectiveness of Self-Management Mobile Phone and Tablet Apps in Long-term Condition Management: A Systematic Review. J Med Internet Res. 2016 May 16;18(5):e97. doi: 10.2196/jmir.4883.
- Wei J, Hollin I, Kachnowski S. A review of the use of mobile phone text messaging in clinical and healthy behaviour interventions. J Telemed Telecare. 2011;17(1):41-8. doi: 10.1258/jtt.2010.100322. Epub 2010 Nov 19.
- Chomutare T, Fernandez-Luque L, Arsand E, Hartvigsen G. Features of mobile diabetes applications: review of the literature and analysis of current applications compared against evidence-based guidelines. J Med Internet Res. 2011 Sep 22;13(3):e65. doi: 10.2196/jmir.1874.
- Liang X, Wang Q, Yang X, Cao J, Chen J, Mo X, Huang J, Wang L, Gu D. Effect of mobile phone intervention for diabetes on glycaemic control: a meta-analysis. Diabet Med. 2011 Apr;28(4):455-63. doi: 10.1111/j.1464-5491.2010.03180.x.
- Stone AA, Shiffman S, Schwartz JE, Broderick JE, Hufford MR. Patient non-compliance with paper diaries. BMJ. 2002 May 18;324(7347):1193-4. doi: 10.1136/bmj.324.7347.1193. No abstract available.
- Holtz B, Lauckner C. Diabetes management via mobile phones: a systematic review. Telemed J E Health. 2012 Apr;18(3):175-84. doi: 10.1089/tmj.2011.0119. Epub 2012 Feb 22.
- Mulvaney SA, Ritterband LM, Bosslet L. Mobile intervention design in diabetes: review and recommendations. Curr Diab Rep. 2011 Dec;11(6):486-93. doi: 10.1007/s11892-011-0230-y.
- Benhamou PY, Melki V, Boizel R, Perreal F, Quesada JL, Bessieres-Lacombe S, Bosson JL, Halimi S, Hanaire H. One-year efficacy and safety of Web-based follow-up using cellular phone in type 1 diabetic patients under insulin pump therapy: the PumpNet study. Diabetes Metab. 2007 Jun;33(3):220-6. doi: 10.1016/j.diabet.2007.01.002. Epub 2007 Mar 28.
- Diabetes Control and Complications Trial Research Group; Nathan DM, Genuth S, Lachin J, Cleary P, Crofford O, Davis M, Rand L, Siebert C. The effect of intensive treatment of diabetes on the development and progression of long-term complications in insulin-dependent diabetes mellitus. N Engl J Med. 1993 Sep 30;329(14):977-86. doi: 10.1056/NEJM199309303291401.
- Krishna S, Boren SA, Balas EA. Healthcare via cell phones: a systematic review. Telemed J E Health. 2009 Apr;15(3):231-40. doi: 10.1089/tmj.2008.0099.
- Montori VM, Helgemoe PK, Guyatt GH, Dean DS, Leung TW, Smith SA, Kudva YC. Telecare for patients with type 1 diabetes and inadequate glycemic control: a randomized controlled trial and meta-analysis. Diabetes Care. 2004 May;27(5):1088-94. doi: 10.2337/diacare.27.5.1088.
- Charpentier G, Benhamou PY, Dardari D, Clergeot A, Franc S, Schaepelynck-Belicar P, Catargi B, Melki V, Chaillous L, Farret A, Bosson JL, Penfornis A; TeleDiab Study Group. The Diabeo software enabling individualized insulin dose adjustments combined with telemedicine support improves HbA1c in poorly controlled type 1 diabetic patients: a 6-month, randomized, open-label, parallel-group, multicenter trial (TeleDiab 1 Study). Diabetes Care. 2011 Mar;34(3):533-9. doi: 10.2337/dc10-1259. Epub 2011 Jan 25.
- Lewis TL, Boissaud-Cooke MA, Aungst TD, Eysenbach G. Consensus on use of the term "App" versus "Application" for reporting of mHealth research. J Med Internet Res. 2014 Jul 17;16(7):e174; discussion e174. doi: 10.2196/jmir.3460. No abstract available.
- Franc S, Daoudi A, Mounier S, Boucherie B, Dardari D, Laroye H, Neraud B, Requeda E, Canipel L, Charpentier G. Telemedicine and diabetes: achievements and prospects. Diabetes Metab. 2011 Dec;37(6):463-76. doi: 10.1016/j.diabet.2011.06.006. Epub 2011 Sep 1.
- Kirwan M, Vandelanotte C, Fenning A, Duncan MJ. Diabetes self-management smartphone application for adults with type 1 diabetes: randomized controlled trial. J Med Internet Res. 2013 Nov 13;15(11):e235. doi: 10.2196/jmir.2588.
- Vahatalo M. Cellular phone transferred self blood glucose monitoring: Prerequisites for positive outcome. Practical Diabetes International 2004;21(5):192-194.
- Gomez EJ, Hernando Perez ME, Vering T, Rigla Cros M, Bott O, Garcia-Saez G, Pretschner P, Brugues E, Schnell O, Patte C, Bergmann J, Dudde R, de Leiva A. The INCA system: a further step towards a telemedical artificial pancreas. IEEE Trans Inf Technol Biomed. 2008 Jul;12(4):470-9. doi: 10.1109/TITB.2007.902162.
- Cafazzo JA, Casselman M, Hamming N, Katzman DK, Palmert MR. Design of an mHealth app for the self-management of adolescent type 1 diabetes: a pilot study. J Med Internet Res. 2012 May 8;14(3):e70. doi: 10.2196/jmir.2058.
- Froisland DH, Arsand E, Skarderud F. Improving diabetes care for young people with type 1 diabetes through visual learning on mobile phones: mixed-methods study. J Med Internet Res. 2012 Aug 6;14(4):e111. doi: 10.2196/jmir.2155.
- Piette JD. Interactive behavior change technology to support diabetes self-management: where do we stand? Diabetes Care. 2007 Oct;30(10):2425-32. doi: 10.2337/dc07-1046. Epub 2007 Jun 22. No abstract available.
- Lee E, Tatara N, Arsand E, Hartvigsen G. Review of mobile terminal-based tools for diabetes diet management. Stud Health Technol Inform. 2011;169:23-7.
- Quinn CC, Shardell MD, Terrin ML, Barr EA, Ballew SH, Gruber-Baldini AL. Cluster-randomized trial of a mobile phone personalized behavioral intervention for blood glucose control. Diabetes Care. 2011 Sep;34(9):1934-42. doi: 10.2337/dc11-0366. Epub 2011 Jul 25. Erratum In: Diabetes Care. 2013 Nov;36(11):3850.
- Holmen H, Torbjornsen A, Wahl AK, Jenum AK, Smastuen MC, Arsand E, Ribu L. A Mobile Health Intervention for Self-Management and Lifestyle Change for Persons With Type 2 Diabetes, Part 2: One-Year Results From the Norwegian Randomized Controlled Trial RENEWING HEALTH. JMIR Mhealth Uhealth. 2014 Dec 11;2(4):e57. doi: 10.2196/mhealth.3882.
- Waki K, Fujita H, Uchimura Y, Omae K, Aramaki E, Kato S, Lee H, Kobayashi H, Kadowaki T, Ohe K. DialBetics: A Novel Smartphone-based Self-management Support System for Type 2 Diabetes Patients. J Diabetes Sci Technol. 2014 Mar;8(2):209-215. doi: 10.1177/1932296814526495. Epub 2014 Mar 13.
- Anarte Ortiz MT, Caballero FF, Ruiz de Adana MS, Rondan RM, Carreira M, Dominguez-Lopez M, Machado A, Gonzalo-Marin M, Tapia MJ, Valdes S, Gonzalez-Romero S, Soriguer FC. Development of a new fear of hypoglycemia scale: FH-15. Psychol Assess. 2011 Jun;23(2):398-405. doi: 10.1037/a0021927.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Anticipated)
Study Completion (Anticipated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- Social Diabetes
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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