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Lack of ownership of mobile phones could hinder the rollout of mHealth interventions in Africa

Mobile health (mHealth) interventions, which require ownership of mobile phones, are being investigated throughout Africa. We estimate the percentage of individuals who own mobile phones in 33 African countries, identify a relationship between ownership and proximity to a health clinic (HC), and qua...

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Autores principales: Okano, Justin T, Ponce, Joan, Krönke, Matthias, Blower, Sally
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9640192/
https://www.ncbi.nlm.nih.gov/pubmed/36255055
http://dx.doi.org/10.7554/eLife.79615
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author Okano, Justin T
Ponce, Joan
Krönke, Matthias
Blower, Sally
author_facet Okano, Justin T
Ponce, Joan
Krönke, Matthias
Blower, Sally
author_sort Okano, Justin T
collection PubMed
description Mobile health (mHealth) interventions, which require ownership of mobile phones, are being investigated throughout Africa. We estimate the percentage of individuals who own mobile phones in 33 African countries, identify a relationship between ownership and proximity to a health clinic (HC), and quantify inequities in ownership. We investigate basic mobile phones (BPs) and smartphones (SPs): SPs can connect to the internet, BPs cannot. We use nationally representative data collected in 2017–2018 from 44,224 individuals in Round 7 of the Afrobarometer surveys. We use Bayesian multilevel logistic regression models for our analyses. We find 82% of individuals in 33 countries own mobile phones: 42% BPs and 40% SPs. Individuals who live close to an HC have higher odds of ownership than those who do not (aOR: 1.31, Bayesian 95% highest posterior density [HPD] region: 1.24–1.39). Men, compared with women, have over twice the odds of ownership (aOR: 2.37, 95% HPD region: 1.96–2.84). Urban residents, compared with rural residents, have almost three times the odds (aOR: 2.66, 95% HPD region: 2.22–3.18) and, amongst mobile phone owners, nearly three times the odds of owning an SP (aOR: 2.67, 95% HPD region: 2.33–3.10). Ownership increases with age, peaks in 26–40 year olds, then decreases. Individuals under 30 are more likely to own an SP than a BP, older individuals more likely to own a BP than an SP. Probability of ownership decreases with the Lived Poverty Index; however, some of the poorest individuals own SPs. If the digital devices needed for mHealth interventions are not equally available within the population (which we have found is the current situation), rolling out mHealth interventions in Africa is likely to propagate already existing inequities in access to healthcare.
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spelling pubmed-96401922022-11-08 Lack of ownership of mobile phones could hinder the rollout of mHealth interventions in Africa Okano, Justin T Ponce, Joan Krönke, Matthias Blower, Sally eLife Epidemiology and Global Health Mobile health (mHealth) interventions, which require ownership of mobile phones, are being investigated throughout Africa. We estimate the percentage of individuals who own mobile phones in 33 African countries, identify a relationship between ownership and proximity to a health clinic (HC), and quantify inequities in ownership. We investigate basic mobile phones (BPs) and smartphones (SPs): SPs can connect to the internet, BPs cannot. We use nationally representative data collected in 2017–2018 from 44,224 individuals in Round 7 of the Afrobarometer surveys. We use Bayesian multilevel logistic regression models for our analyses. We find 82% of individuals in 33 countries own mobile phones: 42% BPs and 40% SPs. Individuals who live close to an HC have higher odds of ownership than those who do not (aOR: 1.31, Bayesian 95% highest posterior density [HPD] region: 1.24–1.39). Men, compared with women, have over twice the odds of ownership (aOR: 2.37, 95% HPD region: 1.96–2.84). Urban residents, compared with rural residents, have almost three times the odds (aOR: 2.66, 95% HPD region: 2.22–3.18) and, amongst mobile phone owners, nearly three times the odds of owning an SP (aOR: 2.67, 95% HPD region: 2.33–3.10). Ownership increases with age, peaks in 26–40 year olds, then decreases. Individuals under 30 are more likely to own an SP than a BP, older individuals more likely to own a BP than an SP. Probability of ownership decreases with the Lived Poverty Index; however, some of the poorest individuals own SPs. If the digital devices needed for mHealth interventions are not equally available within the population (which we have found is the current situation), rolling out mHealth interventions in Africa is likely to propagate already existing inequities in access to healthcare. eLife Sciences Publications, Ltd 2022-10-18 /pmc/articles/PMC9640192/ /pubmed/36255055 http://dx.doi.org/10.7554/eLife.79615 Text en © 2022, Okano et al https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Epidemiology and Global Health
Okano, Justin T
Ponce, Joan
Krönke, Matthias
Blower, Sally
Lack of ownership of mobile phones could hinder the rollout of mHealth interventions in Africa
title Lack of ownership of mobile phones could hinder the rollout of mHealth interventions in Africa
title_full Lack of ownership of mobile phones could hinder the rollout of mHealth interventions in Africa
title_fullStr Lack of ownership of mobile phones could hinder the rollout of mHealth interventions in Africa
title_full_unstemmed Lack of ownership of mobile phones could hinder the rollout of mHealth interventions in Africa
title_short Lack of ownership of mobile phones could hinder the rollout of mHealth interventions in Africa
title_sort lack of ownership of mobile phones could hinder the rollout of mhealth interventions in africa
topic Epidemiology and Global Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9640192/
https://www.ncbi.nlm.nih.gov/pubmed/36255055
http://dx.doi.org/10.7554/eLife.79615
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