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Telemedicine interventions in type 2 diabetes management: a protocol for systematic review and network meta-analysis.
Maaitah, Wasan; Abdelhay, Osama; Tourkmani, Ayla; Azzeh, Mohammad; Abu-Soud, Mohammad S; Atiani, Serin.
Afiliação
  • Maaitah W; Department of Data Science, Princess Sumaya University for Technology, Amman, Jordan.
  • Abdelhay O; Department of Data Science, Princess Sumaya University for Technology, Amman, Jordan o.abdelhay@psut.edu.jo.
  • Tourkmani A; Prince Sultan Military Medical City, Riyadh, Saudi Arabia.
  • Azzeh M; Department of Data Science, Princess Sumaya University for Technology, Amman, Jordan.
  • Abu-Soud MS; Department of Data Science, Princess Sumaya University for Technology, Amman, Jordan.
  • Atiani S; Department of Data Science, Princess Sumaya University for Technology, Amman, Jordan.
BMJ Open ; 14(2): e078100, 2024 Feb 22.
Article em En | MEDLINE | ID: mdl-38388501
ABSTRACT

INTRODUCTION:

The consequences of type 2 diabetes mellitus (T2DM) heavily strain individuals and healthcare systems worldwide. Interventions via telemedicine have become a potential tactic to tackle the difficulties in effectively managing T2DM. However, more research is needed to determine how telemedicine interventions affect T2DM management. This study sets out to systematically analyse and report the effects of telemedicine treatments on T2DM management to gain essential insights into the potential of telemedicine as a cutting-edge strategy to improve the outcomes and care delivery for people with T2DM. METHODS AND

ANALYSIS:

To uncover relevant research, we will perform a comprehensive literature search across six databases (PubMed, IEEE, EMBASE, Web of Science, Google Scholar and Cochrane Library). Each piece of data will be extracted separately, and any discrepancies will be worked out through discussion or by a third reviewer. The studies included are randomised controlled trial. We chose by predefined inclusion standards. After the telemedicine intervention, glycated haemoglobin will be the primary outcome. The Cochrane risk-of-bias approach will be used to evaluate the quality of the included studies. RevMan V.5.3.5 software and RStiduo V.4.3.1 software can be used to analyse the data, including publication bias. ETHICS AND DISSEMINATION Since this research will employ publicly accessible documents, ethical approval is unnecessary. The review is registered prospectively on the PROSPERO database. The study's findings will be published in a peer-reviewed journal. PROSPERO REGISTRATION NUMBER CRD42023421719.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Projetos de Pesquisa / Metanálise como Assunto / Telemedicina / Diabetes Mellitus Tipo 2 / Revisões Sistemáticas como Assunto Limite: Humans Idioma: En Revista: BMJ Open Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Jordânia

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Projetos de Pesquisa / Metanálise como Assunto / Telemedicina / Diabetes Mellitus Tipo 2 / Revisões Sistemáticas como Assunto Limite: Humans Idioma: En Revista: BMJ Open Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Jordânia