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

Dike, Franklin O; Mutabazi, Jean Claude; Ubani, Blessing Chinenye; Isa, Ahmed Sherif; Ezeude, Chidiebele Malachy; Musa, Ezekiel; Iheonye, Henry; Ainavi, Isah Idris

doi:10.1136/bmjopen-2020-047556

Cited by 8 publications

(3 citation statements)

References 7 publications

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“…Treatment of infectious diseases of relatively long duration, such as tuberculosis and HIV, has received the most attention ( Manby et al, 2022 ; Maraba et al, 2018 ; Nwaozuru et al, 2021 ; Osei et al, 2021 ). However, mHealth interventions are also being explored for non-communicable diseases, such as diabetes ( Dike et al, 2021 ), cancer ( Mutebi et al, 2020 ), and conditions such as alcohol consumption ( Suleman et al, 2021 ) and hearing loss ( Bhamjee et al, 2022 ). Throughout Africa, many pilot mHealth interventions have been launched to manage Ebola ( Tom-Aba et al, 2018 ), maternal health ( Ag Ahmed et al, 2017 ; Mildon and Sellen, 2019 ; Onukwugha et al, 2022 ), and various childhood ailments ( Mahmood et al, 2020 ).…”

Section: Discussionmentioning

confidence: 99%

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

Okano

Ponce

Krönke

et al. 2022

eLife

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Mobile Health 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 phone (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 the 33 countries own mobile phones: 42% BPs, 40% SPs. Individuals who live close to an HC have higher odds of ownership than those who do not (adjusted odds ratio [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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Section: Discussionmentioning

confidence: 99%

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

Okano

Ponce

Krönke

et al. 2022

eLife

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“…This systematic review was conducted based on the 2020 version of the Preferred Reporting Item for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Due to the advancement of technology in the last 10 years, [18][19][20] the search period was chosen from 2013 through March 1, 2023 and the search was conducted by two authors (AFA and ZZ) in: PubMed (National Center for Biotechnology Information, National Institutes of Health; Bethesda, Maryland USA); Cochran (Wiley; Hoboken, New Jersey USA); Scopus (Elsevier; Amsterdam, Netherlands); Science Direct (Elsevier; Amsterdam, Netherlands); ProQuest (Ann Arbor, Michigan USA); and Web of Science (Clarivate Analytics; London, United Kingdom). The "AND" operator was used between separate concepts, the "OR" operator was used among synonyms, and the search filter was selected "Title, Abstract, and Keyword."…”

Section: Eligibility Criteria and Search Strategiesmentioning

confidence: 99%

Application of Telemedicine in the Ambulance for Stroke Patients: A Systematic Review

Sarpourian,

Ahmadi Marzaleh,

Fatemi Aghda

et al. 2023

Prehosp. Disaster med.

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Introduction: The use of telemedicine for the prehospital management of emergency conditions, especially stroke, is increasing day by day. Few studies have investigated the applications of telemedicine in Emergency Medical Services (EMS). A comprehensive study of the applications of this technology in stroke patients in ambulances can help to build a better understanding. Therefore, this systematic review was conducted to investigate the use of telemedicine in ambulances for stroke patients in 2023. Methods: A systematic search was conducted in PubMed, Cochrane, Scopus, ProQuest, Science Direct, and Web of Science from 2013 through March 1, 2023. The authors selected the articles based on keywords and criteria and reviewed them in terms of title, abstract, and full text. Finally, the articles that were related to the study aim were evaluated. Results: The initial search resulted in the extraction of 2,795 articles. After review of the articles, and applying the inclusion and exclusion criteria, seven articles were selected for the final analysis. Three (42.85%) studies were on the feasibility and intervention types. Also, randomized trials, feasibility, feasibility and prospective-observational, and feasibility and retrospective-interventional studies were each one (14.28%). Six (85.71%) of the studies were conducted in the United States. The National Institutes of Health Stroke Scale (NIHSS) and RP-Xpress were the most commonly used tools for neurological evaluations and teleconsultations. Conclusion: Remote prehospital consultations, triage, and sending patient data before they go to the emergency department can be provided through telemedicine in ambulances. Neurological evaluations via telemedicine are reliable and accurate, and they are almost equal to in-person evaluations by a neurologist.

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“…Implementation and impact of mobile health (mHealth) in the management of diabetes mellitus in Africa: a systematic review protocol [17] 2021 -Related to mHealth and targets a specific region and type of diabetes. It also did not provide a detailed analysis of each included article.…”

Section: Title Year Limitationsmentioning

confidence: 99%

Machine Learning and Smart Devices for Diabetes Management: Systematic Review

Makroum

Adda

Bouzouane

et al. 2022

Sensors

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(1) Background: The use of smart devices to better manage diabetes has increased significantly in recent years. These technologies have been introduced in order to make life easier for patients with diabetes by allowing better control of the stability of blood sugar levels and anticipating the occurrence of dangerous events (hypo/hyperglycemia), etc. That being said, the main objectives of the self-management of diabetes is to improve the lifestyle and life quality of patients with diabetes; (2) Methods: We performed a systematic review based on articles that focus on the use of smart devices for the monitoring and better management of diabetes. The search was focused on keywords related to the topic, such as “Diabetes”, “Technology”, “Self-management”, “Artificial Intelligence”, etc. This was performed using databases, such as Scopus, Google Scholar, and PubMed; (3) Results: A total of 89 studies, published between 2011 and 2021, were included. The majority of the selected research aims to solve a diabetes management problem (e.g., blood glucose prediction, early detection of risk events, and the automatic adjustment of insulin doses, etc.). In these studies, wearable devices were used in combination with artificial intelligence (AI) techniques; (4) Conclusions: Wearable devices have attracted a great deal of scientific interest in the field of healthcare for people with chronic conditions, such as diabetes. They are capable of assisting in the management of diabetes, as well as preventing complications associated with this condition. Furthermore, the usage of these devices has improved illness management and quality of life.

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

Cited by 8 publications

References 7 publications

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

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

Application of Telemedicine in the Ambulance for Stroke Patients: A Systematic Review

Machine Learning and Smart Devices for Diabetes Management: Systematic Review

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