Cargando…

A systematic review of healthcare provider-targeted mobile applications for non-communicable diseases in low- and middle-income countries

Mobile health (mHealth) interventions hold promise for addressing the epidemic of noncommunicable diseases (NCDs) in low- and middle-income countries (LMICs) by assisting healthcare providers managing these disorders in low-resource settings. We aimed to systematically identify and assess provider-f...

Descripción completa

Detalles Bibliográficos
Autores principales: Geldsetzer, Pascal, Flores, Sergio, Wang, Grace, Flores, Blanca, Rogers, Abu Bakarr, Bunker, Aditi, Chang, Andrew Y., Tisdale, Rebecca
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9296618/
https://www.ncbi.nlm.nih.gov/pubmed/35853936
http://dx.doi.org/10.1038/s41746-022-00644-3
_version_ 1784750305896824832
author Geldsetzer, Pascal
Flores, Sergio
Wang, Grace
Flores, Blanca
Rogers, Abu Bakarr
Bunker, Aditi
Chang, Andrew Y.
Tisdale, Rebecca
author_facet Geldsetzer, Pascal
Flores, Sergio
Wang, Grace
Flores, Blanca
Rogers, Abu Bakarr
Bunker, Aditi
Chang, Andrew Y.
Tisdale, Rebecca
author_sort Geldsetzer, Pascal
collection PubMed
description Mobile health (mHealth) interventions hold promise for addressing the epidemic of noncommunicable diseases (NCDs) in low- and middle-income countries (LMICs) by assisting healthcare providers managing these disorders in low-resource settings. We aimed to systematically identify and assess provider-facing mHealth applications used to screen for, diagnose, or monitor NCDs in LMICs. In this systematic review, we searched the indexing databases of PubMed, Web of Science, and Cochrane Central for studies published between January 2007 and October 2019. We included studies of technologies that were: (i) mobile phone- or tablet-based, (ii) able to screen for, diagnose, or monitor an NCD of public health importance in LMICs, and (iii) targeting health professionals as users. We extracted disease type, intervention purpose, target population, study population, sample size, study methodology, technology stage, country of development, operating system, and cost. Our initial search retrieved 13,262 studies, 315 of which met inclusion criteria and were analyzed. Cardiology was the most common clinical domain of the technologies evaluated, with 89 publications. mHealth innovations were predominantly developed using Apple’s iOS operating system. Cost data were provided in only 50 studies, but most technologies for which this information was available cost less than 20 USD. Only 24 innovations targeted the ten NCDs responsible for the greatest number of disability-adjusted life years lost globally. Most publications evaluated products created in high-income countries. Reported mHealth technologies are well-developed, but their implementation in LMICs faces operating system incompatibility and a relative neglect of NCDs causing the greatest disease burden.
format Online
Article
Text
id pubmed-9296618
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-92966182022-07-21 A systematic review of healthcare provider-targeted mobile applications for non-communicable diseases in low- and middle-income countries Geldsetzer, Pascal Flores, Sergio Wang, Grace Flores, Blanca Rogers, Abu Bakarr Bunker, Aditi Chang, Andrew Y. Tisdale, Rebecca NPJ Digit Med Review Article Mobile health (mHealth) interventions hold promise for addressing the epidemic of noncommunicable diseases (NCDs) in low- and middle-income countries (LMICs) by assisting healthcare providers managing these disorders in low-resource settings. We aimed to systematically identify and assess provider-facing mHealth applications used to screen for, diagnose, or monitor NCDs in LMICs. In this systematic review, we searched the indexing databases of PubMed, Web of Science, and Cochrane Central for studies published between January 2007 and October 2019. We included studies of technologies that were: (i) mobile phone- or tablet-based, (ii) able to screen for, diagnose, or monitor an NCD of public health importance in LMICs, and (iii) targeting health professionals as users. We extracted disease type, intervention purpose, target population, study population, sample size, study methodology, technology stage, country of development, operating system, and cost. Our initial search retrieved 13,262 studies, 315 of which met inclusion criteria and were analyzed. Cardiology was the most common clinical domain of the technologies evaluated, with 89 publications. mHealth innovations were predominantly developed using Apple’s iOS operating system. Cost data were provided in only 50 studies, but most technologies for which this information was available cost less than 20 USD. Only 24 innovations targeted the ten NCDs responsible for the greatest number of disability-adjusted life years lost globally. Most publications evaluated products created in high-income countries. Reported mHealth technologies are well-developed, but their implementation in LMICs faces operating system incompatibility and a relative neglect of NCDs causing the greatest disease burden. Nature Publishing Group UK 2022-07-19 /pmc/articles/PMC9296618/ /pubmed/35853936 http://dx.doi.org/10.1038/s41746-022-00644-3 Text en © This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Review Article
Geldsetzer, Pascal
Flores, Sergio
Wang, Grace
Flores, Blanca
Rogers, Abu Bakarr
Bunker, Aditi
Chang, Andrew Y.
Tisdale, Rebecca
A systematic review of healthcare provider-targeted mobile applications for non-communicable diseases in low- and middle-income countries
title A systematic review of healthcare provider-targeted mobile applications for non-communicable diseases in low- and middle-income countries
title_full A systematic review of healthcare provider-targeted mobile applications for non-communicable diseases in low- and middle-income countries
title_fullStr A systematic review of healthcare provider-targeted mobile applications for non-communicable diseases in low- and middle-income countries
title_full_unstemmed A systematic review of healthcare provider-targeted mobile applications for non-communicable diseases in low- and middle-income countries
title_short A systematic review of healthcare provider-targeted mobile applications for non-communicable diseases in low- and middle-income countries
title_sort systematic review of healthcare provider-targeted mobile applications for non-communicable diseases in low- and middle-income countries
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9296618/
https://www.ncbi.nlm.nih.gov/pubmed/35853936
http://dx.doi.org/10.1038/s41746-022-00644-3
work_keys_str_mv AT geldsetzerpascal asystematicreviewofhealthcareprovidertargetedmobileapplicationsfornoncommunicablediseasesinlowandmiddleincomecountries
AT floressergio asystematicreviewofhealthcareprovidertargetedmobileapplicationsfornoncommunicablediseasesinlowandmiddleincomecountries
AT wanggrace asystematicreviewofhealthcareprovidertargetedmobileapplicationsfornoncommunicablediseasesinlowandmiddleincomecountries
AT floresblanca asystematicreviewofhealthcareprovidertargetedmobileapplicationsfornoncommunicablediseasesinlowandmiddleincomecountries
AT rogersabubakarr asystematicreviewofhealthcareprovidertargetedmobileapplicationsfornoncommunicablediseasesinlowandmiddleincomecountries
AT bunkeraditi asystematicreviewofhealthcareprovidertargetedmobileapplicationsfornoncommunicablediseasesinlowandmiddleincomecountries
AT changandrewy asystematicreviewofhealthcareprovidertargetedmobileapplicationsfornoncommunicablediseasesinlowandmiddleincomecountries
AT tisdalerebecca asystematicreviewofhealthcareprovidertargetedmobileapplicationsfornoncommunicablediseasesinlowandmiddleincomecountries
AT geldsetzerpascal systematicreviewofhealthcareprovidertargetedmobileapplicationsfornoncommunicablediseasesinlowandmiddleincomecountries
AT floressergio systematicreviewofhealthcareprovidertargetedmobileapplicationsfornoncommunicablediseasesinlowandmiddleincomecountries
AT wanggrace systematicreviewofhealthcareprovidertargetedmobileapplicationsfornoncommunicablediseasesinlowandmiddleincomecountries
AT floresblanca systematicreviewofhealthcareprovidertargetedmobileapplicationsfornoncommunicablediseasesinlowandmiddleincomecountries
AT rogersabubakarr systematicreviewofhealthcareprovidertargetedmobileapplicationsfornoncommunicablediseasesinlowandmiddleincomecountries
AT bunkeraditi systematicreviewofhealthcareprovidertargetedmobileapplicationsfornoncommunicablediseasesinlowandmiddleincomecountries
AT changandrewy systematicreviewofhealthcareprovidertargetedmobileapplicationsfornoncommunicablediseasesinlowandmiddleincomecountries
AT tisdalerebecca systematicreviewofhealthcareprovidertargetedmobileapplicationsfornoncommunicablediseasesinlowandmiddleincomecountries