Hypertension Diagnosis and Management in Africa Using Mobile Phones: A Scoping Review

Target 3.4 of the third Sustainable Development Goal (SDG) of the United Nations (UN) General Assembly proposes to reduce premature mortality from non-communicable diseases (NCDs) by one-third. Epidemiological data presented by the World Health Organization (WHO) in 2016 show that out of a total of...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:IEEE reviews in biomedical engineering 2024-01, Vol.17, p.1-17
Hauptverfasser: Oronti, Iyabosola B., Iadanza, Ernesto, Pecchia, Leandro
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 17
container_issue
container_start_page 1
container_title IEEE reviews in biomedical engineering
container_volume 17
creator Oronti, Iyabosola B.
Iadanza, Ernesto
Pecchia, Leandro
description Target 3.4 of the third Sustainable Development Goal (SDG) of the United Nations (UN) General Assembly proposes to reduce premature mortality from non-communicable diseases (NCDs) by one-third. Epidemiological data presented by the World Health Organization (WHO) in 2016 show that out of a total of 57 million deaths worldwide, approximately 41 million deaths occurred due to NCDs, with 78% of such deaths occurring in low-and-middle-income countries (LMICs). The majority of investigations on NCDs agree that the leading risk factor for mortality worldwide is hypertension. Over 75% of the world's mobile phone subscriptions reside in LMICs, hence making the mobile phone particularly relevant to mHealth deployment in Africa. This study is aimed at determining the scope of the literature available on hypertension diagnosis and management in Africa, with particular emphasis on determining the feasibility, acceptability and effectiveness of interventions based on the use of mobile phones. The bulk of the evidence considered overwhelmingly shows that SMS technology is yet the most used medium for executing interventions in Africa. Consequently, the need to define novel and superior ways of providing effective and low-cost monitoring, diagnosis, and management of hypertension- related NCDs delivered through artificial intelligence and machine learning techniques is clear.
doi_str_mv 10.1109/RBME.2022.3186828
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_crossref_primary_10_1109_RBME_2022_3186828</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>9809807</ieee_id><sourcerecordid>2681812034</sourcerecordid><originalsourceid>FETCH-LOGICAL-c344t-8051caa232cf4057436088660c416e21661be271bbef2f6a6d1b5c5abeb39ca13</originalsourceid><addsrcrecordid>eNpdkEtrGzEQgEVpSIzrHxAKRdBLLutq9Fptb67zKtgkpPVZaOVZV8GW3JWdkH-fXez60GFgBuabYfgIuQQ2BmDVt6cf85sxZ5yPBRhtuPlABlBJKABM9bHvRVmILi7IKOdn1oWSJRh2Ti6EKrWQWg3I4v5ti-0OYw4p0uvgVjHlkKmLSzp30a1wg3FHQ6STpg3e0UUOcUXnqQ5rpI9_UsT8nU7oL5-2_eAJXwK-fiJnjVtnHB3rkCxub35P74vZw93P6WRWeCHlrjBMgXeOC-4byVQphWbGaM28BI0ctIYaeQl1jQ1vtNNLqJVXrsZaVN6BGJKrw91tm_7uMe_sJmSP67WLmPbZcm3AAGdCdujX_9DntG9j953lFQgFSmnRUXCgfJtybrGx2zZsXPtmgdleu-212167PWrvdr4cL-_rDS5PG_8kd8DnAxAQ8TSuDOuyFO90o4Qq</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2913515563</pqid></control><display><type>article</type><title>Hypertension Diagnosis and Management in Africa Using Mobile Phones: A Scoping Review</title><source>MEDLINE</source><source>IEEE Electronic Library (IEL)</source><creator>Oronti, Iyabosola B. ; Iadanza, Ernesto ; Pecchia, Leandro</creator><creatorcontrib>Oronti, Iyabosola B. ; Iadanza, Ernesto ; Pecchia, Leandro</creatorcontrib><description>Target 3.4 of the third Sustainable Development Goal (SDG) of the United Nations (UN) General Assembly proposes to reduce premature mortality from non-communicable diseases (NCDs) by one-third. Epidemiological data presented by the World Health Organization (WHO) in 2016 show that out of a total of 57 million deaths worldwide, approximately 41 million deaths occurred due to NCDs, with 78% of such deaths occurring in low-and-middle-income countries (LMICs). The majority of investigations on NCDs agree that the leading risk factor for mortality worldwide is hypertension. Over 75% of the world's mobile phone subscriptions reside in LMICs, hence making the mobile phone particularly relevant to mHealth deployment in Africa. This study is aimed at determining the scope of the literature available on hypertension diagnosis and management in Africa, with particular emphasis on determining the feasibility, acceptability and effectiveness of interventions based on the use of mobile phones. The bulk of the evidence considered overwhelmingly shows that SMS technology is yet the most used medium for executing interventions in Africa. Consequently, the need to define novel and superior ways of providing effective and low-cost monitoring, diagnosis, and management of hypertension- related NCDs delivered through artificial intelligence and machine learning techniques is clear.</description><identifier>ISSN: 1937-3333</identifier><identifier>ISSN: 1941-1189</identifier><identifier>EISSN: 1941-1189</identifier><identifier>DOI: 10.1109/RBME.2022.3186828</identifier><identifier>PMID: 35763465</identifier><identifier>CODEN: IRBECO</identifier><language>eng</language><publisher>United States: IEEE</publisher><subject>Africa ; Artificial Intelligence ; Blood pressure ; blood pressure control ; Cell Phone ; Cell phones ; Cellular telephones ; Data mining ; Diagnosis ; Epidemiology ; Fatalities ; Humans ; Hypertension ; Hypertension - diagnosis ; Machine learning ; Mobile handsets ; mobile health (mHealth) ; mobile phones ; Mortality ; non- communicable diseases (NCDs) ; Noncommunicable Diseases ; Risk factors ; Short message service ; Sociology ; Statistics ; Subscriptions ; Sustainable development ; Telemedicine</subject><ispartof>IEEE reviews in biomedical engineering, 2024-01, Vol.17, p.1-17</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2024</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c344t-8051caa232cf4057436088660c416e21661be271bbef2f6a6d1b5c5abeb39ca13</cites><orcidid>0000-0001-5324-6408 ; 0000-0002-7900-5415 ; 0000-0002-7291-4990</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9809807$$EHTML$$P50$$Gieee$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,792,27901,27902,54733</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35763465$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Oronti, Iyabosola B.</creatorcontrib><creatorcontrib>Iadanza, Ernesto</creatorcontrib><creatorcontrib>Pecchia, Leandro</creatorcontrib><title>Hypertension Diagnosis and Management in Africa Using Mobile Phones: A Scoping Review</title><title>IEEE reviews in biomedical engineering</title><addtitle>RBME</addtitle><addtitle>IEEE Rev Biomed Eng</addtitle><description>Target 3.4 of the third Sustainable Development Goal (SDG) of the United Nations (UN) General Assembly proposes to reduce premature mortality from non-communicable diseases (NCDs) by one-third. Epidemiological data presented by the World Health Organization (WHO) in 2016 show that out of a total of 57 million deaths worldwide, approximately 41 million deaths occurred due to NCDs, with 78% of such deaths occurring in low-and-middle-income countries (LMICs). The majority of investigations on NCDs agree that the leading risk factor for mortality worldwide is hypertension. Over 75% of the world's mobile phone subscriptions reside in LMICs, hence making the mobile phone particularly relevant to mHealth deployment in Africa. This study is aimed at determining the scope of the literature available on hypertension diagnosis and management in Africa, with particular emphasis on determining the feasibility, acceptability and effectiveness of interventions based on the use of mobile phones. The bulk of the evidence considered overwhelmingly shows that SMS technology is yet the most used medium for executing interventions in Africa. Consequently, the need to define novel and superior ways of providing effective and low-cost monitoring, diagnosis, and management of hypertension- related NCDs delivered through artificial intelligence and machine learning techniques is clear.</description><subject>Africa</subject><subject>Artificial Intelligence</subject><subject>Blood pressure</subject><subject>blood pressure control</subject><subject>Cell Phone</subject><subject>Cell phones</subject><subject>Cellular telephones</subject><subject>Data mining</subject><subject>Diagnosis</subject><subject>Epidemiology</subject><subject>Fatalities</subject><subject>Humans</subject><subject>Hypertension</subject><subject>Hypertension - diagnosis</subject><subject>Machine learning</subject><subject>Mobile handsets</subject><subject>mobile health (mHealth)</subject><subject>mobile phones</subject><subject>Mortality</subject><subject>non- communicable diseases (NCDs)</subject><subject>Noncommunicable Diseases</subject><subject>Risk factors</subject><subject>Short message service</subject><subject>Sociology</subject><subject>Statistics</subject><subject>Subscriptions</subject><subject>Sustainable development</subject><subject>Telemedicine</subject><issn>1937-3333</issn><issn>1941-1189</issn><issn>1941-1189</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>ESBDL</sourceid><sourceid>RIE</sourceid><sourceid>EIF</sourceid><recordid>eNpdkEtrGzEQgEVpSIzrHxAKRdBLLutq9Fptb67zKtgkpPVZaOVZV8GW3JWdkH-fXez60GFgBuabYfgIuQQ2BmDVt6cf85sxZ5yPBRhtuPlABlBJKABM9bHvRVmILi7IKOdn1oWSJRh2Ti6EKrWQWg3I4v5ti-0OYw4p0uvgVjHlkKmLSzp30a1wg3FHQ6STpg3e0UUOcUXnqQ5rpI9_UsT8nU7oL5-2_eAJXwK-fiJnjVtnHB3rkCxub35P74vZw93P6WRWeCHlrjBMgXeOC-4byVQphWbGaM28BI0ctIYaeQl1jQ1vtNNLqJVXrsZaVN6BGJKrw91tm_7uMe_sJmSP67WLmPbZcm3AAGdCdujX_9DntG9j953lFQgFSmnRUXCgfJtybrGx2zZsXPtmgdleu-212167PWrvdr4cL-_rDS5PG_8kd8DnAxAQ8TSuDOuyFO90o4Qq</recordid><startdate>20240101</startdate><enddate>20240101</enddate><creator>Oronti, Iyabosola B.</creator><creator>Iadanza, Ernesto</creator><creator>Pecchia, Leandro</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>ESBDL</scope><scope>RIA</scope><scope>RIE</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QF</scope><scope>7QO</scope><scope>7QQ</scope><scope>7SC</scope><scope>7SE</scope><scope>7SP</scope><scope>7SR</scope><scope>7TB</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>F28</scope><scope>FR3</scope><scope>H8D</scope><scope>JG9</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>P64</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-5324-6408</orcidid><orcidid>https://orcid.org/0000-0002-7900-5415</orcidid><orcidid>https://orcid.org/0000-0002-7291-4990</orcidid></search><sort><creationdate>20240101</creationdate><title>Hypertension Diagnosis and Management in Africa Using Mobile Phones: A Scoping Review</title><author>Oronti, Iyabosola B. ; Iadanza, Ernesto ; Pecchia, Leandro</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c344t-8051caa232cf4057436088660c416e21661be271bbef2f6a6d1b5c5abeb39ca13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Africa</topic><topic>Artificial Intelligence</topic><topic>Blood pressure</topic><topic>blood pressure control</topic><topic>Cell Phone</topic><topic>Cell phones</topic><topic>Cellular telephones</topic><topic>Data mining</topic><topic>Diagnosis</topic><topic>Epidemiology</topic><topic>Fatalities</topic><topic>Humans</topic><topic>Hypertension</topic><topic>Hypertension - diagnosis</topic><topic>Machine learning</topic><topic>Mobile handsets</topic><topic>mobile health (mHealth)</topic><topic>mobile phones</topic><topic>Mortality</topic><topic>non- communicable diseases (NCDs)</topic><topic>Noncommunicable Diseases</topic><topic>Risk factors</topic><topic>Short message service</topic><topic>Sociology</topic><topic>Statistics</topic><topic>Subscriptions</topic><topic>Sustainable development</topic><topic>Telemedicine</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Oronti, Iyabosola B.</creatorcontrib><creatorcontrib>Iadanza, Ernesto</creatorcontrib><creatorcontrib>Pecchia, Leandro</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE Open Access Journals</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Aluminium Industry Abstracts</collection><collection>Biotechnology Research Abstracts</collection><collection>Ceramic Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Electronics &amp; Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Mechanical &amp; Transportation Engineering Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>ANTE: Abstracts in New Technology &amp; Engineering</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>IEEE reviews in biomedical engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Oronti, Iyabosola B.</au><au>Iadanza, Ernesto</au><au>Pecchia, Leandro</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Hypertension Diagnosis and Management in Africa Using Mobile Phones: A Scoping Review</atitle><jtitle>IEEE reviews in biomedical engineering</jtitle><stitle>RBME</stitle><addtitle>IEEE Rev Biomed Eng</addtitle><date>2024-01-01</date><risdate>2024</risdate><volume>17</volume><spage>1</spage><epage>17</epage><pages>1-17</pages><issn>1937-3333</issn><issn>1941-1189</issn><eissn>1941-1189</eissn><coden>IRBECO</coden><abstract>Target 3.4 of the third Sustainable Development Goal (SDG) of the United Nations (UN) General Assembly proposes to reduce premature mortality from non-communicable diseases (NCDs) by one-third. Epidemiological data presented by the World Health Organization (WHO) in 2016 show that out of a total of 57 million deaths worldwide, approximately 41 million deaths occurred due to NCDs, with 78% of such deaths occurring in low-and-middle-income countries (LMICs). The majority of investigations on NCDs agree that the leading risk factor for mortality worldwide is hypertension. Over 75% of the world's mobile phone subscriptions reside in LMICs, hence making the mobile phone particularly relevant to mHealth deployment in Africa. This study is aimed at determining the scope of the literature available on hypertension diagnosis and management in Africa, with particular emphasis on determining the feasibility, acceptability and effectiveness of interventions based on the use of mobile phones. The bulk of the evidence considered overwhelmingly shows that SMS technology is yet the most used medium for executing interventions in Africa. Consequently, the need to define novel and superior ways of providing effective and low-cost monitoring, diagnosis, and management of hypertension- related NCDs delivered through artificial intelligence and machine learning techniques is clear.</abstract><cop>United States</cop><pub>IEEE</pub><pmid>35763465</pmid><doi>10.1109/RBME.2022.3186828</doi><tpages>17</tpages><orcidid>https://orcid.org/0000-0001-5324-6408</orcidid><orcidid>https://orcid.org/0000-0002-7900-5415</orcidid><orcidid>https://orcid.org/0000-0002-7291-4990</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1937-3333
ispartof IEEE reviews in biomedical engineering, 2024-01, Vol.17, p.1-17
issn 1937-3333
1941-1189
1941-1189
language eng
recordid cdi_crossref_primary_10_1109_RBME_2022_3186828
source MEDLINE; IEEE Electronic Library (IEL)
subjects Africa
Artificial Intelligence
Blood pressure
blood pressure control
Cell Phone
Cell phones
Cellular telephones
Data mining
Diagnosis
Epidemiology
Fatalities
Humans
Hypertension
Hypertension - diagnosis
Machine learning
Mobile handsets
mobile health (mHealth)
mobile phones
Mortality
non- communicable diseases (NCDs)
Noncommunicable Diseases
Risk factors
Short message service
Sociology
Statistics
Subscriptions
Sustainable development
Telemedicine
title Hypertension Diagnosis and Management in Africa Using Mobile Phones: A Scoping Review
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-09T02%3A53%3A38IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Hypertension%20Diagnosis%20and%20Management%20in%20Africa%20Using%20Mobile%20Phones:%20A%20Scoping%20Review&rft.jtitle=IEEE%20reviews%20in%20biomedical%20engineering&rft.au=Oronti,%20Iyabosola%20B.&rft.date=2024-01-01&rft.volume=17&rft.spage=1&rft.epage=17&rft.pages=1-17&rft.issn=1937-3333&rft.eissn=1941-1189&rft.coden=IRBECO&rft_id=info:doi/10.1109/RBME.2022.3186828&rft_dat=%3Cproquest_cross%3E2681812034%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2913515563&rft_id=info:pmid/35763465&rft_ieee_id=9809807&rfr_iscdi=true