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Learning from a diabetes mHealth intervention in rural Bangladesh: what worked, what did not and what next?

There is an urgent need for population-based interventions to slow the growth of the diabetes epidemic in low-and middle-income countries. We tested the effectiveness of a population-based mHealth voice messaging intervention for T2DM prevention and control in rural Bangladesh through a cluster rand...

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Autores principales: Morrison, Joanna, Akter, Kohenour, Jennings, Hannah, Ahmed, Naveed, Kumer Shaha, Sanjit, Kuddus, Abdul, Nahar, Tasmin, King, Carina, Haghparast-Bidgoli, Hassan, Khan, A. K. Azad, Costello, Anthony, Azad, Kishwar, Fottrell, Edward
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9487863/
https://www.ncbi.nlm.nih.gov/pubmed/33966607
http://dx.doi.org/10.1080/17441692.2021.1923776
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author Morrison, Joanna
Akter, Kohenour
Jennings, Hannah
Ahmed, Naveed
Kumer Shaha, Sanjit
Kuddus, Abdul
Nahar, Tasmin
King, Carina
Haghparast-Bidgoli, Hassan
Khan, A. K. Azad
Costello, Anthony
Azad, Kishwar
Fottrell, Edward
author_facet Morrison, Joanna
Akter, Kohenour
Jennings, Hannah
Ahmed, Naveed
Kumer Shaha, Sanjit
Kuddus, Abdul
Nahar, Tasmin
King, Carina
Haghparast-Bidgoli, Hassan
Khan, A. K. Azad
Costello, Anthony
Azad, Kishwar
Fottrell, Edward
author_sort Morrison, Joanna
collection PubMed
description There is an urgent need for population-based interventions to slow the growth of the diabetes epidemic in low-and middle-income countries. We tested the effectiveness of a population-based mHealth voice messaging intervention for T2DM prevention and control in rural Bangladesh through a cluster randomised controlled trial. mHealth improved knowledge and awareness about T2DM but there was no detectable effect on T2DM occurrence. We conducted mixed-methods research to understand this result. Exposure to messages was limited by technological faults, high frequency of mobile phone number changes, message fatigue and (mis)perceptions that messages were only for those who had T2DM. Persistent social norms, habits and desires made behaviour change challenging, and participants felt they would be more motivated by group discussions than mHealth messaging alone. Engagement with mHealth messages for T2DM prevention and control can be increased by (1) sending identifiable messages from a trusted source (2) using participatory design of mHealth messages to inform modelling of behaviours and increase relevance to the general population (3) enabling interactive messaging. mHealth messaging is likely to be most successful if implemented as part of a multi-sectoral, multi-component approach to address T2DM and non-communicable disease risk factors.
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spelling pubmed-94878632022-09-21 Learning from a diabetes mHealth intervention in rural Bangladesh: what worked, what did not and what next? Morrison, Joanna Akter, Kohenour Jennings, Hannah Ahmed, Naveed Kumer Shaha, Sanjit Kuddus, Abdul Nahar, Tasmin King, Carina Haghparast-Bidgoli, Hassan Khan, A. K. Azad Costello, Anthony Azad, Kishwar Fottrell, Edward Glob Public Health Articles There is an urgent need for population-based interventions to slow the growth of the diabetes epidemic in low-and middle-income countries. We tested the effectiveness of a population-based mHealth voice messaging intervention for T2DM prevention and control in rural Bangladesh through a cluster randomised controlled trial. mHealth improved knowledge and awareness about T2DM but there was no detectable effect on T2DM occurrence. We conducted mixed-methods research to understand this result. Exposure to messages was limited by technological faults, high frequency of mobile phone number changes, message fatigue and (mis)perceptions that messages were only for those who had T2DM. Persistent social norms, habits and desires made behaviour change challenging, and participants felt they would be more motivated by group discussions than mHealth messaging alone. Engagement with mHealth messages for T2DM prevention and control can be increased by (1) sending identifiable messages from a trusted source (2) using participatory design of mHealth messages to inform modelling of behaviours and increase relevance to the general population (3) enabling interactive messaging. mHealth messaging is likely to be most successful if implemented as part of a multi-sectoral, multi-component approach to address T2DM and non-communicable disease risk factors. Taylor & Francis 2021-05-08 /pmc/articles/PMC9487863/ /pubmed/33966607 http://dx.doi.org/10.1080/17441692.2021.1923776 Text en © 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Articles
Morrison, Joanna
Akter, Kohenour
Jennings, Hannah
Ahmed, Naveed
Kumer Shaha, Sanjit
Kuddus, Abdul
Nahar, Tasmin
King, Carina
Haghparast-Bidgoli, Hassan
Khan, A. K. Azad
Costello, Anthony
Azad, Kishwar
Fottrell, Edward
Learning from a diabetes mHealth intervention in rural Bangladesh: what worked, what did not and what next?
title Learning from a diabetes mHealth intervention in rural Bangladesh: what worked, what did not and what next?
title_full Learning from a diabetes mHealth intervention in rural Bangladesh: what worked, what did not and what next?
title_fullStr Learning from a diabetes mHealth intervention in rural Bangladesh: what worked, what did not and what next?
title_full_unstemmed Learning from a diabetes mHealth intervention in rural Bangladesh: what worked, what did not and what next?
title_short Learning from a diabetes mHealth intervention in rural Bangladesh: what worked, what did not and what next?
title_sort learning from a diabetes mhealth intervention in rural bangladesh: what worked, what did not and what next?
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9487863/
https://www.ncbi.nlm.nih.gov/pubmed/33966607
http://dx.doi.org/10.1080/17441692.2021.1923776
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