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Published on 19.04.18 in Vol 7, No 4 (2018): April

Preprints (earlier versions) of this paper are available at, first published Oct 10, 2017.

This paper is in the following e-collection/theme issue:


    DIABEO App Software and Telemedicine Versus Usual Follow-Up in the Treatment of Diabetic Patients: Protocol for the TELESAGE Randomized Controlled Trial

    1Department of Endocrinology, Diabetes and Nutrition, University Hospital of Strasbourg, Strasbourg, France

    2Hospital Laennec, University Hospital of Nantes, Saint-Herblain, France

    3Centre d'Étude et de Recherche pour l'Intensification du Traitement du Diabète, Evry, Department of Diabetes, Sud-Francilien Hospital, University Paris-Sud, Orsay, Corbeil-Essonnes, France

    4Pôle DigiDune, Department of Diabetology, University Hospital, Grenoble, France

    5Department of Nutrition-Endocrinology-Metabolic Disorders, Marseille University Hospital, Sainte Marguerite Hospital, Marseille, France

    6Department of Diabetology, Metabolic Diseases and Nutrition, University Hospital of Toulouse, University of Toulouse, Toulouse, France

    7Department of Endocrinology and Diabetes, University Hospital, Bordeaux, France

    8Department of Endocrinology, Diabetes and Nutrition, University Hospital, Montpellier, France

    9Department of Diabetology, University Hospital, Lille, France

    10Endocrinology-Diabetes Care Unit, University of Lorraine, Vandoeuvre Lès Nancy, France

    11Department of Endocrinology, University of Caen Côte de Nacre Regional Hospital Center, Caen, France

    12Department of Endocrinology, Metabolism, Diabetology and Nutrition, University Hospital Jean Minjoz, Besançon, France

    13Endocrinology, Diabetology and Nutrition, Clinique Portes du Sud, Venissieux, France

    14Sanofi-Diabetes, Gentilly, France

    15Voluntis, Suresnes, France

    16CEMKA Contract Research Organization, Bourg-la-Reine, France

    17National Association of Telemedicine, Evry, France

    Corresponding Author:

    Nathalie Jeandidier, MD, PhD

    Department of Endocrinology, Diabetes and Nutrition

    University Hospital of Strasbourg

    1 Place de l'Hôpital

    116, Boulevard Jean Jaurès

    Strasbourg, 67000


    Phone: 33 03 88 11 60 99



    Background: Self-management of diabetes minimizes the risk of macrovascular and microvascular complications, but understanding and/or adherence to self-management recommendations is often suboptimal. DIABEO is a smartphone app (downloaded via the internet) used to calculate bolus insulin doses. A previous study (TELEDIAB 1) showed that the use of DIABEO was associated with a significant improvement in glycemic control in patients with poorly controlled type 1 diabetes mellitus, particularly when combined with teleconsultations with physicians.

    Objective: Here, we present the protocol for a new study (Suivi A Grande Echelle d’une cohorte de diabétiques de type 1 et de type 2 sous schéma insulinique basal bolus par la TELEmédecine; abbreviated TELESAGE), conducted in a larger population of diabetic patients with poorly controlled basal-bolus insulin levels.

    Methods: TELESAGE is a multicenter, double-randomized, open-label, three parallel–arms study, conducted in approximately 100 centers in France. The study will compare a control group (arm 1: usual follow-up) with two DIABEO telemedicine systems: (1) physician-assisted telemedicine (arm 2), and (2) nurse-assisted telemonitoring and teleconsultations by a diabetologist’s task delegation (arm 3). Initial randomization will allocate the study arms in 12 French regions. A second randomization will assign patients in the groups allocated to each studied region. The primary objective of TELESAGE will be to investigate the effect of the DIABEO telemedicine system versus usual follow-up, with respect to improvements in the glycated hemoglobin levels of approximately 696 diabetic patients with poorly controlled basal-bolus insulin levels.

    Results: The TELESAGE study is sponsored by Sanofi (Gentilly, France). A primary completion date is expected in June 2018, and publication of results is expected within 6 months of work completion.

    Conclusions: The TELESAGE study is expected to confirm the previous results of the TELEDIAB 1 study using a larger sample of diabetic patients. It is also expected to evaluate a nurse-assisted telemonitoring system. We will assess the potential of the DIABEO telemedicine service in terms of its utility and explore whether it can become an integral part of diabetes care for patients.

    Trial Registration: NCT02287532; (Archived by WebCite at

    JMIR Res Protoc 2018;7(4):e66



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    In its first global report on diabetes, the World Health Organization showed that the number of adults living with diabetes has almost quadrupled since 1980 to 422 million adults [1]. Diabetes complications can lead to blindness, heart attack, renal insufficiency, stroke and lower limb amputation. In 2012, diabetes caused 1.5 million deaths [1].

    Self-management of diabetes is crucial to minimize the risk of macrovascular and microvascular complications [2,3]. This involves a daily planning of diet and physical activity, proper use of prescribed medication, and self-monitoring of capillary blood glucose levels. All this is done in order to adjust diet, physical activity and insulin treatment. However, adherence to self-management recommendations is often suboptimal, which is of importance for people whose diabetes is poorly controlled [4].

    The Scottish registry linkage study [5] shows that only 13%–15% of patients with type 1 diabetes mellitus (T1DM) meet the glycated hemoglobin (HbA1c) target level of less than 7.0% [5], whereas more than 20% have very poor glycemic control (HbA1c>8.8%). The hazard ratios for death from cardiovascular causes increase from 2.9 in well controlled patients to 10.5 in the poorly controlled ones [6]. The reasons for the insufficient glycemic control among T1DM patients are numerous. T1DM is a complex, relatively infrequent disease that is managed by a diabetologist. The complex rules for calculating insulin doses can lead T1DM patients to inject inappropriate doses, especially during meals, leading to episodes of hypo- or hyperglycemia.

    Patients with type 2 diabetes mellitus (T2DM) under intensive basal-bolus insulin regimens face similar problems [7]. An automatic system calculating bolus insulin doses on a daily basis is necessary to help both T1DM and T2DM patients undergoing an intensive insulin regimen. On the other hand, the extreme burden of daily routine (eg, glycemic control, carbohydrate counting, and determining an insulin dose that takes into account additional parameters such as irregular activities or unexpected physical activity) can be reduced through telemedical health care team support when needed. Telemedicine may also help intensively treated T1DM or T2DM patients, often those who are young and/or actively working, who find it difficult to comply with scheduled doctor visits to avoid progressive diabetes control degradation). It is essential for these patients to rapidly contact their caregiver, if necessary by telephone and email. Finally, alerts may help caregivers reach patients when needed.

    The DIABEO system was created to overcome some of the above hurdles [8,9]. DIABEO is an app for insulin dosage calculation, available for download on smartphones. It calculates bolus insulin doses according to medical prescription and uses validated algorithms to take into account the carbohydrate intake, predrug glucose and anticipated physical activity reported by the patient. It provides glycemic targets and automatic algorithms for the adjustment of carbohydrate and basal insulin or basal pump rates when plasma postprandial or fasting glucose levels are off target. An internet connection ensures data transmission by means of automatic messages to medical staff (through a secure connection and website) to facilitate remote monitoring and teleconsultations.

    In 2009, a pilot study demonstrated the feasibility, safety and accuracy of DIABEO [8]. Moreover, a six-month, open-label, randomized clinical trial conducted in 180 poorly controlled T1DM patients (TELEDIAB 1 study) showed that the DIABEO software combined with short teleconsultations (ie, five minutes every two weeks) demonstrated a 0.91% improvement in HbA1c over controls and a 0.67% reduction when the DIABEO software is used alone [9]. This benefit does not require more medical time and is obtained at a lower overall cost for the patient than usual care [9].

    Following the TELEDIAB 1 study, the Haute Autorité de Santé, France (HAS) approved DIABEO as a medical device for use in T1DM patients (July 2016) [10]. DIABEO was approved for two years, and the HAS specified that the renewal will be conditioned on the results of the current study (Suivi A Grande Echelle d’une cohorte de diabétiques de type 1 et de type 2 sous schéma insulinique basal bolus par la TELEmédecine; abbreviated TELESAGE).

    The purpose of TELESAGE is to investigate the metabolic efficacy of the DIABEO telemedicine service in a large population of patients with poorly controlled diabetes who are on a basal-bolus insulin regimen. Additionally, we will assess its economic impact in terms of cost reduction to the health insurance system. Here, we present the protocol of the TELESAGE study.



    TELESAGE was designed to investigate the efficacy of the DIABEO telemedicine service in improving glycaemic control in a large population of diabetic patients sub-optimally controlled with insulin.

    Study Design

    TELESAGE is a randomized, open-label, three parallel-arms study that is to be conducted in approximately 100 public and private centers that employ diabetologists in France (Figure 1). The study protocol was designed by Centre d'Étude et de Recherche pour l'Intensification du Traitement du Diabète (CERITD; Evry, France). CERITD is a nonprofit clinical translational research center located in Corbeil Hospital (Corbeil-Essonnes, France). Selected centers have been already participating in the TELEDIAB 1 study [9]. Voluntis (Suresnes, France) provided the DIABEO software, Orange Telephone Company (Paris, France) provided the smartphone and telephone lines, and Sanofi (France) funded the study.

    The study was designed to include a population of approximately 696 T1DM and T2DM patients poorly controlled with a basal-bolus insulin regimen (HbA1c≥8%) in real-life conditions. The patient recruitment period was estimated to last approximately 36 months.

    The trial compares a control group (arm 1: usual follow-up) with the previously investigated DIABEO telemedicine service (arm 2: software + physician-assisted telemedicine as in the TELEDIAB 1 study [9]) or a new DIABEO telemedicine service (arm 3: software + telemonitoring and teleconsultations delegated by the diabetologists to a nursing staff) (Figure 1). Participants are asked to carry out at least two self-monitoring plasma glucose (SMPG) every day during the study. Patients randomized to arms 2 and 3 receive a smartphone with the DIABEO software. The investigator-physician fixes glycemic targets and associated treatment, alarm values, and values for self-adaptations. Patient enters daily three types of variables in the app: (i) SMPG levels before and after meals (6 measurements) + 1 optional in the night; (ii) carbohydrate counts; and (iii) planned physical activity. Patient entry data is automatically uploaded by the smartphone to a secured website (available to investigators at any time). If fasting or postprandial SMPG do not meet target levels, the system can suggest adjustments for carbohydrate ratio, long-acting insulin analog dose, or pump basal rates.

    Following a screening period of 10 days, the main study period will last 12 months, with an optional extension period of at least 12 additional months (Figure 1). If desired, patients from the control group can begin to use the software after 12 months.

    Physician-Assisted Telemedicine (Arm 2)

    Teleconsultations will be conducted with both patients and doctors in front of their computers or smartphone displaying data from the week before. These sessions focused on insulin dose adjustments and motivational support.

    Figure 1. Study design. T1DM: type 1 diabetes mellitus; T2DM: type 2 diabetes mellitus.
    View this figure
    Physician/Nurse Delegation Protocol (Arm 3)

    Arm 3 of the study involves a nursing team supervised by a physician, based in Paris and its surrounding region. Figure 2 shows the road map of arm 3, which starts with the investigator-physician, who fixes glycemic targets and associated treatment, alarm values triggering a nurse action, and values for self-adaptations (step 1). A reference nurse performs patient initiations (step 2). The patient can now use the DIABEO app on their smartphone (step 3). The device performs a titration of the insulin dose (and eventually a proposal for dose adaptation) as a function of several factors, including blood glucose levels, physical activity and ingested carbohydrates. The data entered by the patient is sent to a secure platform every 2 hours (step 4). This platform is continuously visible to the referring nurse and the diabetologist. Automatic messages containing analytical data are generated every night (step 5). The referring nurse (who can call the patient and/or the diabetologist, if necessary) analyzes these messages during the morning of each working day. Finally, the diabetologist receives patient data and nursing reports (step 6).

    DIABEO Software

    The DIABEO software was described in the Introduction section (for details, see references [8,9]). Telemedicine is similar to that previously described [9], with the exception that patient teleconsultations in arm 3 are conducted by nurses instead of doctors.

    Clinical Study Flow Diagram

    The schedule of visits and measurements is given in Table 1. HbA1c measures assessing glycemic control are performed at visits 1, 2 (optional), 3 and 4.

    Ethical Conduct of the Study and Informed Consent

    The study is conducted in accordance with the Declaration of Helsinki and Good Clinical Practice guidelines and in accordance with French privacy law (Informatique et Libertés) when processing personal data in the health care field (Act of 6 January 1978, amended by Law No 2004-801 of August 6, 2004).

    This clinical trial began after the sponsor had obtained approval from the ethical committee (Comité de Protection des Personnes [CPP]; Committee for People Protection) of La Pitié-Salpetrière Hospital (Ile de France VI) and the authorization of the French Agence Nationale de Sécurité du Médicament (ANSM; National Agency for Drug Safety). The study was registered under ANSM# 2012-A00072-41. The sponsor communicates all serious and unexpected adverse events to the CPP and the ANSM.

    Before inclusion, patients consented to participate in the trial. To that purpose, patients were informed about the nature, objective and possible consequences of the trial, and gave signed consent to participate and release medical-related data.


    As calculated in the Statistical Analysis section, 696 subjects have been included in the study (the recommended number of subjects per center was 6-8 patients, the inclusion period lasted from April 24, 2013 to May 19, 2016). The trial is currently active, but not completed.

    Figure 2. Road map of arm 3. Patient enters daily three types of variables in the DIABEO application (step 3): (i) Self-measured plasma glucose levels before and after meals (6 measurements) + 1 optional in the night; (ii) carbohydrate counts; and (iii) planned physical activity (see text for other technical details). HCP: health care practitioner.
    View this figure
    Table 1. Clinical study flow diagram; schedule of enrollment, interventions and assessments. EQ-5D: EuroQol five dimension scale; HbA1c: glycated hemoglobin.
    View this table

    Inclusion Criteria

    Patients enrolled in the TELESAGE study should meet the following inclusion criteria: T1DM and T2DM patient performing self-monitoring of blood glucose (≥2 measured values per day), treated with insulin analogs according to a basal-bolus regimen for at least 1 year and using the same method of administration (pen or pump) for at least 3 months, possessing an Apple or Android smartphone compatible with DIABEO before starting the study, having two HbA1c values ≥8%, one dating to more than 3 months ago and the other less than 1 month ago. Additionally, participants must have the capability to understand and follow the instructions of the study, and be able to provide written consent to participate and specify if they benefit from a social security scheme.

    Exclusion Criteria

    Key exclusion criteria included: age <18 years; subject having already used the DIABEO system in the 6 months preceding inclusion, or participating in a clinical trial within 6 months (except Meos, the TELEDIAB 3 study after a 6-month participation period), or treated with human insulin, or pregnant (or wishing to be pregnant during the study period), or subject requiring boluses >0.4 IU/gram (for subjects under functional insulin therapy) or >99 IU per day (for subjects treated on a fixed diet plan), or subject living with staggered hours (eg, night work, meals shifted).


    Patient randomization is automatically done by using the electronic case report form software. A first randomization step allocates the study arms at the regional level: (i) six regions including patients in arms 1 and 2 (Aquitaine, Île-de-France, Lorraine, Nord-Pas-de-Calais, Rhône-Alpes, and Languedoc-Roussillon) and (ii) six other regions including patients in arms 1 and 3 (Alsace, Franche-Comté, Lower Normandy, Midi-Pyrénées, Pays de la Loire, and Provence-Alpes-Côte d'Azur). Then, within each region the patients are further randomized between the two groups (done at patients’ inclusion, between arms 1 and 2 or between arms 1 and 3). The distribution by center was 1:2 (ie, 1 patient of arm 1 for 2 patients of arms 2 or 3).

    Outcome Measures

    The primary outcome measure of this study is to investigate the effect of a 12-month follow-up with the DIABEO system (software + physicians’ telemedicine, or software + nursing telemonitoring, and teleconsultations by diabetologist’s task delegation) versus usual follow-up in terms of improvement of glycemic control (HbA1c levels) in T1DM or T2DM patients poorly controlled by a basal-bolus insulin regimen. HbA1c high performance liquid chromatography assays are performed at qualified medical biology laboratories and then reported by participants to investigators. Secondary outcome measures are to compare groups for: HbA1c levels, percent of responder patients (HbA1c <7.5% or HbA1c reduction ≥1%) and severe hypoglycemia at 6, 12 and 24 months, as well as for quality of life and satisfaction (of patients and physicians) at 12 and 24 months. Severe hypoglycemia was defined as requiring third-party assistance. Quality of life was assessed by a specific questionnaire, derived from the EuroQol five dimension scale (EQ-5D) questionnaire [11]. For participants of arms 2 and 3, satisfaction with the DIABEO telemedicine system is evaluated at each center, with a patient’s self-assessed specific questionnaire.

    Other secondary, medico-economic outcome measures, have been designed to compare groups at 12 and 24 months for resource consumption and health insurance costs (including overall costs of diabetes and complications, and costs per point of HbA1c reduction and for severe hypoglycemia avoided). If the study demonstrates an overall statistically significant effect, subgroups analyses will be conducted to identify the patients’ profiles with optimal costs consequences and cost-effectiveness ratios.

    Statistical Analysis

    Patient Population Size

    The initial sample size to detect a ≥0.5% difference in HbA1c from baseline to month 12 was estimated using a standard deviation of 1.2%, a rate of not evaluable patients of 15% and an intracluster correlation coefficient of .005 (a measure degree of homogeneity within the same region). This calculation predicted an initial sample size of 696 patients to achieve ≥90% power in detecting a difference in outcome.

    Data Analysis

    Efficacy outcomes are analyzed on an intention-to-treat basis. A confirmatory analysis adjusted by center and region will be carried out and a robustness analysis will be done on the population per protocol. Categorical data are expressed as frequencies and percentages, while quantitative data are expressed as means and standard deviations. The analysis of covariance (ANCOVA) is used to compare groups for the results on the primary end point. The ANCOVA, the chi-square test, and Fisher exact test are used for other comparisons.


    The TELESAGE study is sponsored by Sanofi (Gentilly, France). A primary completion date is expected in June 2018, and publication of results is expected within 6 months of work completion.


    Study Rationale

    The DIABEO telemedicine system has previously showed superiority to usual follow-up in improving HbA1c in patients with poorly controlled diabetes [9]. The current TELESAGE study is expected to confirm this result in a larger sample of diabetic patients and real-life conditions. Moreover, the TELESAGE study will validate the present physician/nurse delegation protocol.

    The TELEDIAB 1 study showed that the DIABEO telemedicine system improves HbA1c without requiring more medical time and providing far more services compared to usual care [9]. In this respect, the TELESAGE study will test the efficacy of a closer follow-up by the nursing staff as compared with the previous physician-assisted telemedicine system.

    Usually, a T1DM or T2DM patient undergoing a basal-bolus insulin regimen sees their diabetologist every 3 to 6 months. At the hospital, the patient can also be monitored by a nurse for therapeutic education (whether or not the patient is hospitalized), which can help in difficult moments (eg, hospitalization following a serious adverse event or during a major treatment switch such as from injectable treatment to insulin pump treatment).

    The DIABEO telemedicine service has several strengths. Patient data is daily analyzed by the DIABEO system to fight against glycemic instability and complications. In very serious cases, analysis of these data allows triggering nursing actions and/or physician actions. Nursing delegation also allows more availability to receive patients’ calls and respond to daily issues. Continuity and continuity of care is thus organized from Monday to Saturday from 8am to 8pm.

    If positive results are obtained, TELESAGE will clearly demonstrate that the DIABEO telemedicine service could be an integral part of the ambulatory care of an insulin-treated patient.


    Given the impossibility of double-blind assessment of open-label intervention versus usual follow-up, the effects of report bias cannot be eliminated.


    The authors are grateful to RP Garay (Pharmacology and Therapeutics, Craven, Villemoisson-sur-Orge, France) for his help in writing this article.

    Authors' Contributions

    SF, GC and GO helped to develop the DIABEO software. SF and GC designed and analyzed the research, with the help of HH, NJ, BD, GO, P Simon and YK. HH, LC, SF, PYB, P Serusclat, BC, AF, PF, BG, YR, NJ, AP, SB, P Schaepelynck and GC recruited patients. All authors read and approved the final manuscript.

    Conflicts of Interest

    NJ received personal compensation for board participation and speaking fees from Eli Lilly, Novo Nordisk, Sanofi Aventis and Roche. LC received personal compensation for board participation and speaking fees from Eli Lilly, Lifescan, Novo Nordisk, Roche Diagnostics, Medtronic and Sanofi Aventis. SF has received personal compensation for board participation and speaking fees from Novo Nordisk, Roche Diagnostics, Lifescan, Sanofi, Eli Lilly and received Research support from MSD. She is medical director and vice president of CERITD, which has developed the DIABEO system in collaboration with Voluntis, and is the main investigator of the TELESAGE study, sponsored by Sanofi-Diabetes (Gentilly, France). PYB has received personal compensation for board participation and speaking fees from Abbott, Eli Lilly, Lifescan, Novo Nordisk, Roche Diagnostics, Medtronic, Sanofi Aventis and Becton, Dickinson and Company. P Schaepelynck has received speaking fees from Sanofi, Abbott, Lilly and participation at boards of Novo-Nordisk and Sanofi. P Serusclat has received personal compensation for board participation and speaking fees from Johnson and Johnson, Astra-Zeneca, Eli Lilly, Medtronic, MSD, Novartis, Novo Nordisk and Sanofi Aventis. HH has received personal compensation for board participation and speaking fees from Abbott, Dexcom, Eli Lilly, Lifescan, Novo Nordisk, Roche Diagnostics, Medtronic, Sanofi Aventis and Becton, Dickinson and Company. BC and AF have no conflicts of interest to declare concerning this study. PF has received personal compensation for board participation and speaking fees from Abbott, Becton, Dickinson and Company, Eli Lilly, MSD, Novartis, Novo Nordisk and Sanofi. BG participated as advisory panel/board member of Sanofi, Eli Lilly, NovoNordisk, Novartis, GSK, MSD, Boehringer Ingelheim, AstraZeneca, Abbott, Medtronic and Roche Diagnostics. He also participated as clinical investigator for Sanofi, Eli Lilly, NovoNordisk, GSK, BMS, AstraZeneca, Medtronic, Abbott, Roche Diagnostics, MSD, Novartis, Janssen and Boehringer Ingelheim, and received research support from Medtronic, Vitalaire, Sanofi, Eli Lilly and Novo Nordisk. YR has received personal compensation for board participation and speaking fees from Novo Nordisk, Sanofi, Eli Lilly, Medtronic, Takeda, Abbott and Roche. AP received personal compensation for board participation and speaking fees from Abbott, Ascencia, Astra-Zeneca, Eli Lilly, Medtronic, MSD, Novartis, Novo Nordisk and Sanofi Aventis. SB has received honoraria from Sanofi, NovoNordisk, Lilly, Roche and Medtronic. YK is employee of Sanofi. GO is Chief Medical Officer at Voluntis (Suresnes, France). BD is employed by Cemka-Eval, a consulting team specializing in health economics, epidemiology, and outcomes research. He also received personal compensation for board participation and speaking fees from MSD, Novo-Nordisk, Sanofi, Lilly and Pfizer. P Simon received personal compensation for board participation and speaking fees from Sanofi Aventis. GC is employed by CERITD and received personal compensation for board participation, research funding or speaking fees from Astra-Zeneca, Boehringer, Eli Lilly, Johnson & Johnson, MSD, Novo-Nordisk, Sanofi-Aventis and Voluntis. The TELESAGE study is sponsored by Sanofi (Gentilly, France).


    1. World Health Organization. Global report on diabetes. WHO Press 2016 [FREE Full text]
    2. Haas L, Maryniuk M, Beck J, Cox CE, Duker P, Edwards L, 2012 Standards Revision Task Force. National standards for diabetes self-management education and support. Diabetes Care 2013 Jan;36 Suppl 1:S100-S108 [FREE Full text] [CrossRef] [Medline]
    3. Abubakari A, Cousins R, Thomas C, Sharma D, Naderali E. Sociodemographic and Clinical Predictors of Self-Management among People with Poorly Controlled Type 1 and Type 2 Diabetes: The Role of Illness Perceptions and Self-Efficacy. J Diabetes Res 2016:A. [CrossRef]
    4. Nam S, Chesla C, Stotts N, Kroon L, Janson S. Barriers to diabetes management: patient and provider factors. Diabetes Res Clin Pract 2011;93(1):1-9. [CrossRef]
    5. Livingstone SJ, Looker HC, Hothersall EJ, Wild SH, Lindsay RS, Chalmers J. Risk of cardiovascular disease and total mortality in adults with type 1 diabetescottish registry linkage study. PLoS Med 2012;9(10):e1001321. [CrossRef]
    6. Lind M, Svensson AM, Kosiborod M, Gudbjornsdottir S, Pivodic A, Wedel H. Glycemic control and excess mortality in type 1 diabetes. N Engl J Med 2014;371(21):1972-1982. [CrossRef]
    7. Crowley M, Holleman R, Klamerus M, Bosworth H, Edelman D, Heisler M. Factors associated with persistent poorly controlled diabetes mellitus: clues to improving management in patients with resistant poor control. Chronic Illn 2014;10(4):291-302. [CrossRef]
    8. Franc S, Dardari D, Boucherie B, Riveline JP, Biedzinski M, Petit C. Real-life application and validation of flexible intensive insulin-therapy algorithms in type 1 diabetes patients. Diabetes Metab 2009;35(6):463-468. [CrossRef]
    9. Charpentier G, Benhamou PY, Dardari D, Clergeot A, Franc S, Schaepelynck-Belicar P. The Diabeo software enabling individualized insulin dose adjustments combined with telemedicine support improves HbA 1c in poorly controlled type 1 diabetic patients: a 6-month, randomized, open-label, parallel-group, multicenter trial (TeleDiab 1 Study). Diabetes Care 2011;34(3):a-6. [CrossRef]
    10. Haute Autorité de Santé. Solution DIABEO. 2016;Available at:A [FREE Full text]
    11. Gusi N, Olivares PRR. R. The EQ-5D Health-Related Quality of Life Questionnaire. In: Preedy VR. In: Watson RR (eds) Handbook of Disease Burdens and Quality of Life Measures. New York, NY: Springer,; 2010:87-99.


    ANCOVA: analysis of covariance
    ANSM: Agence Nationale de Sécurité du Médicament (National Agency for Drug Safety)
    BMS: Bristol-Myers Squibb
    CERITD: Centre d'Étude et de Recherche pour l'Intensification du Traitement du Diabète
    CPP: Comité de Protection des Personnes (Committee for People Protection)
    EQ-5D: EuroQol five dimension scale
    GSK: GlaxoSmithKline
    HAS: Haute Autorité de Santé (France)
    HbA1c: hemoglobin A1c
    MSD: Merck Sharp and Dohme
    SMPG: self-monitoring plasma glucose
    T1DM: type 1 diabetes mellitus
    T2DM: type 2 diabetes mellitus
    TELESAGE: Suivi à Grande Échelle d’une cohorte de diabétiques de type 1 et de type 2 sous schéma insulinique basal bolus par la TELEmédecine

    Edited by G Eysenbach; submitted 10.10.17; peer-reviewed by N Unciano, A Kamel Ghalibaf; comments to author 22.11.17; revised version received 19.01.18; accepted 21.01.18; published 19.04.18

    ©Nathalie Jeandidier, Lucy Chaillous, Sylvia Franc, Pierre-Yves Benhamou, Pauline Schaepelynck, Hélène Hanaire, Bogdan Catargi, Anne Farret, Pierre Fontaine, Bruno Guerci, Yves Reznik, Alfred Penfornis, Sophie Borot, Pierre Serusclat, Yacine Kherbachi, Geneviève D'Orsay, Bruno Detournay, Pierre Simon, Guillaume Charpentier. Originally published in JMIR Research Protocols (, 19.04.2018.

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