Evidence map›Paper›PMID 37261244›Full record

ArticleDrugs in context2023

Descriptive study of a clinical and educational telemedicine intervention in patients with diabetes receiving glargine 300 U/ml (Toujeo) in Spain: results of the T-Coach programme.

Virginia Bellido, Cristóbal Morales, Araceli Muñoz Garach, José Manuel García Almeida, Juan Luis Fernández Morera, Beatriz González Aguilera, Martín López de la Torre, Diego Bellido

Abstract read
In one paragraph

Article in Drugs in context, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Virginia BellidoEndocrinology and Nutrition Department, Hospital Universitario Virgen del Rocío, Sevilla, Spain.
Cristóbal MoralesEndocrinology Department, Hospital Clínico Universitario Virgen Macarena, Sevilla, Spain.
Araceli Muñoz GarachEndocrinology Department, Hospital Universitario Virgen de las Nieves, Granada, Spain.
José Manuel García AlmeidaEndocrinology Department, Hospital Quirón Salud, Málaga, Spain.
Juan Luis Fernández MoreraEndocrinology Department, Hospital Álvarez Buylla, Mieres, Asturias, Spain.
Beatriz González AguileraEndocrinology Department, Hospital Clínico Universitario Virgen Macarena, Sevilla, Spain.
Martín López de la TorreEndocrinology Department, Hospital Universitario Virgen de las Nieves, Granada, Spain.
Diego BellidoEndocrinology Department, Complejo Hospitalario Universitario de Ferrol, La Coruña, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Diabetes is one of the most prevalent chronic diseases worldwide, and innovative patient support programmes can help and inform patients about their disease and improve their quality of life. The purpose of this study was to evaluate the effect of the T-Coach programme in terms of improvement of disease knowledge, self-management and adherence to treatment in a real-world setting in Spain between July 2016 and October 2018. Methods: We analyzed data from the T-Coach programme, a telephone platform that gives support to patients with type 2 diabetes mellitus treated with insulin glargine 300 U/ml (Gla-300). Support was provided by diabetes care nurses. Patients followed their treatment and aimed to achieve fasting blood glucose targets through diabetes education. Results: A total of 479 patients were included in the programme. The mean (SD) dose of Gla-300 was 28.5 (16.3) U at baseline and 31.8 (16.1) U, 31.4 (16.4) U and 32.2 (16.3) U, respectively, at 3, 6 and 12 months. A satisfaction survey was completed by 240 (50.1%) patients, who, on average, were very highly satisfied with the programme, general assistance provided, recommendations received, and calls from nurses. Conclusions: T-Coach could be an effective tool to help patients achieve their optimal dose of Gla-300 insulin and manage their blood glucose levels. It could also act as an effective support for diabetes education.

Indexed as

basal insulindiabeteseducationglargine 300 U/mLT-CoachtelemedicinetitrationToujeo

Identifiers

PMID37261244
PMCPMC10228333

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.