NCT03455816

Brief Summary

Based on international recommendations, the current clinical research project considers the effectiveness of a free diabetes app with a CE (Conformité Européenne) mark, "Social Diabetes", which incorporates the addition of a glucometer ("Glucomen Areo") it allows using NFC technology the automatic introduction of data, evaluating the impact on metabolic results and other related psychosocial variables, in people with diabetes 1 through a randomized randomized study during 6 months of follow-up.

Trial Health

43
At Risk

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
148

participants targeted

Target at P75+ for not_applicable

Timeline
Completed

Started Jul 2017

Geographic Reach
1 country

1 active site

Status
unknown

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

July 7, 2017

Completed
8 months until next milestone

First Submitted

Initial submission to the registry

February 28, 2018

Completed
7 days until next milestone

First Posted

Study publicly available on registry

March 7, 2018

Completed
3 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

June 1, 2018

Completed
6 months until next milestone

Study Completion

Last participant's last visit for all outcomes

December 1, 2018

Completed
Last Updated

March 13, 2018

Status Verified

March 1, 2018

Enrollment Period

11 months

First QC Date

February 28, 2018

Last Update Submit

March 11, 2018

Conditions

Keywords

mobile app

Outcome Measures

Primary Outcomes (2)

  • glycosylated hemoglobin

    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.

    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 Outcomes (12)

  • Mean blood glucose

    6 month

  • Standard deviation

    6 month

  • Number of mild hypoglycaemia

    6 month

  • Number of severe hypoglycaemia

    6 month

  • Number of hyperglycemia

    6 month

  • +7 more secondary outcomes

Study Arms (2)

Group that uses the Social Diabetes App (research group)

EXPERIMENTAL

This group use the App Social diabetes with the glucometer Glucomen Areo to monitoring the glucemia during 6 month

Device: Social Diabetes App

Usual clinical monitoring group (control group)

ACTIVE COMPARATOR

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

Device: Usual clinical monitoring group (Control group)

Interventions

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

Group that uses the Social Diabetes App (research group)

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

Usual clinical monitoring group (control group)

Eligibility Criteria

Age18 Years - 65 Years
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • Patients with DM1 over 1 year evolution.
  • Age ≥18 and \<65 years.
  • 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.

You may not qualify if:

  • 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.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Regional University Hospital of Málaga

Málaga, Spain

RECRUITING

Related Publications (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.

    PMID: 25033233BACKGROUND
  • 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.

    PMID: 8366922BACKGROUND
  • 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.

    PMID: 21889388BACKGROUND
  • 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.

    PMID: 12016186BACKGROUND
  • 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.

    PMID: 22356525BACKGROUND
  • 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.

    PMID: 21979293BACKGROUND
  • 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.

    PMID: 21266648BACKGROUND
  • 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.

    PMID: 24225149BACKGROUND
  • Vahatalo M. Cellular phone transferred self blood glucose monitoring: Prerequisites for positive outcome. Practical Diabetes International 2004;21(5):192-194.

    BACKGROUND
  • 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.

    PMID: 18632327BACKGROUND
  • 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.

    PMID: 17395516BACKGROUND
  • 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.

    PMID: 22564332BACKGROUND
  • 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.

    PMID: 22868871BACKGROUND
  • 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.

    PMID: 17586735BACKGROUND
  • 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.

    PMID: 15111526BACKGROUND
  • 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.

    PMID: 21392066BACKGROUND
  • 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.

    PMID: 21960031BACKGROUND
  • 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.

    PMID: 21097565BACKGROUND
  • 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.

    PMID: 19382860BACKGROUND
  • 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.

    PMID: 21893707BACKGROUND
  • 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.

    PMID: 21788632BACKGROUND
  • 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.

    PMID: 27185295BACKGROUND
  • 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.

    PMID: 25499872BACKGROUND
  • 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.

    PMID: 24876569BACKGROUND
  • 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.

    PMID: 21381839BACKGROUND

MeSH Terms

Conditions

Diabetes Mellitus, Type 1

Interventions

Control Groups

Condition Hierarchy (Ancestors)

Diabetes MellitusGlucose Metabolism DisordersMetabolic DiseasesNutritional and Metabolic DiseasesEndocrine System DiseasesAutoimmune DiseasesImmune System Diseases

Intervention Hierarchy (Ancestors)

Epidemiologic Research DesignEpidemiologic MethodsInvestigative TechniquesResearch DesignMethods

Central Study Contacts

Maria Soledad Ruiz de Adana, MD PhD

CONTACT

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
NONE
Purpose
TREATMENT
Intervention Model
PARALLEL
Sponsor Type
OTHER
Responsible Party
SPONSOR INVESTIGATOR
PI Title
Maria Soledad Ruiz de Adana

Study Record Dates

First Submitted

February 28, 2018

First Posted

March 7, 2018

Study Start

July 7, 2017

Primary Completion

June 1, 2018

Study Completion

December 1, 2018

Last Updated

March 13, 2018

Record last verified: 2018-03

Locations