Evidence map›Paper›PMID 39507367›Full record

ArticleLancet regional health. Americas2024

Teleconsultation on patients with type 2 diabetes in the Brazilian public health system: a randomised, pragmatic, open-label, phase 2, non-inferiority trial (TELECONSULTA diabetes trial).

Daniela Laranja Gomes Rodrigues, Gisele Silvestre Belber, Frederica Valle de Queiroz Padilha, Lucas Bassolli de Oliveira Alves, Álvaro Avezum, Marcos Aurélio Maeyama, Alexsandra Vitti, Greta Barriquel Pompermaier, Tanise Balvedi Damas, Mariana Selbach Selbach Otero and 5 more

Abstract read
In one paragraph

Article in Lancet regional health. Americas, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

2 citing papers in PubMed.

  1. Review
  2. 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

15 authors.

Daniela Laranja Gomes RodriguesSocial Responsibility, Hospital Alemão Oswaldo Cruz, São Paulo, Brazil.
Gisele Silvestre BelberSocial Responsibility, Hospital Alemão Oswaldo Cruz, São Paulo, Brazil.
Frederica Valle de Queiroz PadilhaSocial Responsibility, Hospital Alemão Oswaldo Cruz, São Paulo, Brazil.
Lucas Bassolli de Oliveira AlvesInternational Research Center, Hospital Alemão Oswaldo Cruz, São Paulo, Brazil.
Álvaro AvezumInternational Research Center, Hospital Alemão Oswaldo Cruz, São Paulo, Brazil.
Marcos Aurélio MaeyamaTelehealth Center, Santa Catarina, Brazil.
Alexsandra VittiMunicipal Secretary of Health of Joinville, Santa Catarina, Brazil.
Greta Barriquel PompermaierMunicipal Secretary of Health of Joinville, Santa Catarina, Brazil.
Tanise Balvedi DamasMunicipal Secretary of Health of Joinville, Santa Catarina, Brazil.
Mariana Selbach Selbach OteroMunicipal Secretary of Health of Joinville, Santa Catarina, Brazil.
Raquel Souza de AguiarSocial Responsibility, Hospital Alemão Oswaldo Cruz, São Paulo, Brazil.
Renata Almeida de AndradeSocial Responsibility, Hospital Alemão Oswaldo Cruz, São Paulo, Brazil.
Ligia Fonseca SpinelSocial Responsibility, Hospital Alemão Oswaldo Cruz, São Paulo, Brazil.
Ana Paula Neves Marques PinhoSocial Responsibility, Hospital Alemão Oswaldo Cruz, São Paulo, Brazil.
Haliton Alves de Oliveira JuniorSocial Responsibility, Hospital Alemão Oswaldo Cruz, São Paulo, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study addresses the rising burden of type 2 diabetes mellitus, and explores the potential of teleconsultation, as an alternative for diabetes management. The primary objective was to test the hypothesis that teleconsultation is non-inferior to face-to-face consultation in terms of glycaemic control measured as glycated haemoglobin (HbA1c) (non-inferiority margin for the upper confidence interval for the difference between groups of 0,5% in HbA1c) for type 2 diabetes mellitus patients referred from Primary Healthcare to Specialized Care within the SUS. Methods: TELECONSULTA, is a randomized, pragmatic, phase 2, single-centre, open-label, non-inferiority trial conducted in Joinville, Brazil. A total of 278 participants diagnosed with type 2 diabetes were randomized through mandatory teleconsulting services from primary care health units. The randomization was 1:1 to teleconsultation or face to face consultation. The study was registered at the Brazilian Clinical Trial Register-REBEC, under the code RBR-8gpgyd. Study status is "Completed". Findings: This study included 278 participants in the intention-to-treat (ITT) analysis. The median age was 61 (54-68) years, 167 (60%) were women. The between-groups comparative average reduction in HbA1c was -0.6% (90% CI -1.0; -0.1) at 3-months and -0.5% (90% CI -0.9; 0.0) at 6-months in Modified Intention-to-Treat (mITT) population with imputed data, showing the non-inferiority of teleconsultation. Results with no missing data imputation and in the per protocol population were similar. The frequency of hypoglycaemia and other adverse events was well balanced between groups. Interpretation: The results underscore the transformative potential of telemedicine in addressing the complexities of diabetes management within the framework of a universal healthcare system, contributing with valuable insights for healthcare policymakers and practitioners seeking innovative solutions to tackle the growing diabetes epidemic. Funding: This study was funded by the Brazilian Ministry of Health, through the Unified Health System-Institutional Development Support Program (PROADI-SUS).

Indexed as

Diabetes mellitusPublic healthRemote consultationTelehealthTelemedicine

Identifiers

PMID39507367
PMCPMC11539159

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.