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Record W2801954845 · doi:10.2196/resprot.9154

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

2018· article· en· W2801954845 on OpenAlexvenueno aff
N. Jeandidier, Lucy Chaillous, Sylvia Franc, Pierre‐Yves Benhamou, Pauline Schaepelynck, H. Hanaire, Bogdan Catargi, Anne Farret, P. Fontaine, Bruno Guerci, Yves Reznik, Alfred Penfornis, Sophie Borot, Pierre Sérusclat, Yacine Kherbachi, Geneviève d’Orsay, B. Detournay, Pierre Simon, G. Charpentier

Bibliographic record

VenueJMIR Research Protocols · 2018
Typearticle
Languageen
FieldMedicine
TopicDiabetes Management and Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineTelemedicineGlycemicRandomized controlled trialGlycated hemoglobinRandomizationType 2 diabetesPopulationDiabetes mellitusPhysical therapyInternal medicineInsulinHealth careEndocrinology

Abstract

fetched live from OpenAlex

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: ClinicalTrials.gov NCT02287532; https://clinicaltrials.gov/ct2/show/NCT02287532 (Archived by WebCite at http://www.webcitation.org/6ykajhJKd).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.105
Threshold uncertainty score0.608

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.144
GPT teacher head0.509
Teacher spread0.366 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreProtocol

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations17
Published2018
Admission routes1
Has abstractyes

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