A systematic review of healthcare provider-targeted mobile applications for non-communicable diseases in low- and middle-income countries.
Journal
NPJ digital medicine
ISSN: 2398-6352
Titre abrégé: NPJ Digit Med
Pays: England
ID NLM: 101731738
Informations de publication
Date de publication:
19 Jul 2022
19 Jul 2022
Historique:
received:
16
12
2021
accepted:
28
06
2022
entrez:
19
7
2022
pubmed:
20
7
2022
medline:
20
7
2022
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 35853936
doi: 10.1038/s41746-022-00644-3
pii: 10.1038/s41746-022-00644-3
pmc: PMC9296618
doi:
Types de publication
Journal Article
Review
Langues
eng
Pagination
99Subventions
Organisme : NCATS NIH HHS
ID : KL2 TR003143
Pays : United States
Organisme : U.S. Department of Health & Human Services | NIH | National Center for Advancing Translational Sciences (NCATS)
ID : KL2TR003143
Informations de copyright
© 2022. This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply.
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