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

Author:

Okano Justin T1ORCID,Ponce Joan1,Krönke Matthias2ORCID,Blower Sally1ORCID

Affiliation:

1. Center for Biomedical Modeling, Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles

2. Afrobarometer / Institute for Democracy, Citizenship and Public Policy in Africa, University of Cape Town

Abstract

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.

Funder

National Institute of Allergy and Infectious Diseases

Afrobarometer / the Institute for Democracy, Citizenship and Public Policy in Africa

Publisher

eLife Sciences Publications, Ltd

Subject

General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

Reference74 articles.

1. Digital Transformation Strategy for Africa (2020-2030);African Union,2020

2. Afrobarometer Data, [34 countries], [Round 7], [2016-2018];Afrobarometer,2021

3. A mixed methods systematic review of success factors of mhealth and telehealth for maternal health in sub-saharan africa;Ag Ahmed;MHealth,2017

4. National and sub-national variation in patterns of febrile case management in sub-Saharan Africa;Alegana;Nature Communications,2018

5. From luxury to lifeline: Reducing the cost of mobile devices to reach universal internet access;Alliance for Affordable Internet,2020

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