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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2022
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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 |
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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 |
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