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Implementation and impact of mobile health (mHealth) in the management of diabetes mellitus in Africa: a systematic review protocol

INTRODUCTION: The WHO has proposed the concept of mobile health (mHealth) to support healthcare systems delivery worldwide. mHealth basically involves the use of Information and Communication Technology for healthcare provision or delivery services. Africa has seen a remarkable increase in mobile ph...

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Autores principales: Dike, Franklin Okechukwu, Mutabazi, Jean Claude, Ubani, Blessing Chinenye, Isa, Ahmed Sherif, Ezeude, Chidiebele, Musa, Ezekiel, Iheonye, Henry, Ainavi, Isah Idris
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8685937/
https://www.ncbi.nlm.nih.gov/pubmed/34921072
http://dx.doi.org/10.1136/bmjopen-2020-047556
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author Dike, Franklin Okechukwu
Mutabazi, Jean Claude
Ubani, Blessing Chinenye
Isa, Ahmed Sherif
Ezeude, Chidiebele
Musa, Ezekiel
Iheonye, Henry
Ainavi, Isah Idris
author_facet Dike, Franklin Okechukwu
Mutabazi, Jean Claude
Ubani, Blessing Chinenye
Isa, Ahmed Sherif
Ezeude, Chidiebele
Musa, Ezekiel
Iheonye, Henry
Ainavi, Isah Idris
author_sort Dike, Franklin Okechukwu
collection PubMed
description INTRODUCTION: The WHO has proposed the concept of mobile health (mHealth) to support healthcare systems delivery worldwide. mHealth basically involves the use of Information and Communication Technology for healthcare provision or delivery services. Africa has seen a remarkable increase in mobile phone availability and usage in the last decade. The incidence and prevalence of diabetes mellitus (DM) in Africa have also been on the increase in the last decade, in sharp contrast to an ailing healthcare system. We aim to review the extent of implementation of mHealth in the management of DM in Africa, and estimate its impact in helping patients achieve desired glycaemic target, sustain control and prevent complications in the past decade. METHODS AND ANALYSIS: Studies assessing the utilisation of mhealth in the management of patients with DM in Africa will be considered based on the PICO method: Population, Intervention, Comparator, and Outcomes. Medline, PubMed, SCOPUS and the Pan African Clinical Trials Registry, among others will be searched. Two authors independent of each other shall screen titles and abstracts retrieved using the search strategy, retrieve the full text articles and assess them for eligibility and extract data. A third reviewing author will be brought in to resolve any disagreement between the two authors by discussion. The ‘Cochrane Collaboration Risk of Bias Tool’ will be used to assess the quality of included studies. A narrative synthesis of extracted data and, where the characteristics of the eligible studies permit, a meta-analysis (which will be reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines) will be done. ETHICS AND DISSEMINATION: No ethical approval will be required since only published data will be used. Dissemination of results will be through peer reviewed publication and conference presentation. PROSPERO REGISTRATION NUMBER: CRD42021218674.
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spelling pubmed-86859372022-01-04 Implementation and impact of mobile health (mHealth) in the management of diabetes mellitus in Africa: a systematic review protocol Dike, Franklin Okechukwu Mutabazi, Jean Claude Ubani, Blessing Chinenye Isa, Ahmed Sherif Ezeude, Chidiebele Musa, Ezekiel Iheonye, Henry Ainavi, Isah Idris BMJ Open Health Informatics INTRODUCTION: The WHO has proposed the concept of mobile health (mHealth) to support healthcare systems delivery worldwide. mHealth basically involves the use of Information and Communication Technology for healthcare provision or delivery services. Africa has seen a remarkable increase in mobile phone availability and usage in the last decade. The incidence and prevalence of diabetes mellitus (DM) in Africa have also been on the increase in the last decade, in sharp contrast to an ailing healthcare system. We aim to review the extent of implementation of mHealth in the management of DM in Africa, and estimate its impact in helping patients achieve desired glycaemic target, sustain control and prevent complications in the past decade. METHODS AND ANALYSIS: Studies assessing the utilisation of mhealth in the management of patients with DM in Africa will be considered based on the PICO method: Population, Intervention, Comparator, and Outcomes. Medline, PubMed, SCOPUS and the Pan African Clinical Trials Registry, among others will be searched. Two authors independent of each other shall screen titles and abstracts retrieved using the search strategy, retrieve the full text articles and assess them for eligibility and extract data. A third reviewing author will be brought in to resolve any disagreement between the two authors by discussion. The ‘Cochrane Collaboration Risk of Bias Tool’ will be used to assess the quality of included studies. A narrative synthesis of extracted data and, where the characteristics of the eligible studies permit, a meta-analysis (which will be reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines) will be done. ETHICS AND DISSEMINATION: No ethical approval will be required since only published data will be used. Dissemination of results will be through peer reviewed publication and conference presentation. PROSPERO REGISTRATION NUMBER: CRD42021218674. BMJ Publishing Group 2021-12-17 /pmc/articles/PMC8685937/ /pubmed/34921072 http://dx.doi.org/10.1136/bmjopen-2020-047556 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Health Informatics
Dike, Franklin Okechukwu
Mutabazi, Jean Claude
Ubani, Blessing Chinenye
Isa, Ahmed Sherif
Ezeude, Chidiebele
Musa, Ezekiel
Iheonye, Henry
Ainavi, Isah Idris
Implementation and impact of mobile health (mHealth) in the management of diabetes mellitus in Africa: a systematic review protocol
title Implementation and impact of mobile health (mHealth) in the management of diabetes mellitus in Africa: a systematic review protocol
title_full Implementation and impact of mobile health (mHealth) in the management of diabetes mellitus in Africa: a systematic review protocol
title_fullStr Implementation and impact of mobile health (mHealth) in the management of diabetes mellitus in Africa: a systematic review protocol
title_full_unstemmed Implementation and impact of mobile health (mHealth) in the management of diabetes mellitus in Africa: a systematic review protocol
title_short Implementation and impact of mobile health (mHealth) in the management of diabetes mellitus in Africa: a systematic review protocol
title_sort implementation and impact of mobile health (mhealth) in the management of diabetes mellitus in africa: a systematic review protocol
topic Health Informatics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8685937/
https://www.ncbi.nlm.nih.gov/pubmed/34921072
http://dx.doi.org/10.1136/bmjopen-2020-047556
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