Healthcare provider-targeted mobile applications to diagnose, screen, or monitor communicable diseases of public health importance in low- and middle-income countries: A systematic review.


Journal

PLOS digital health
ISSN: 2767-3170
Titre abrégé: PLOS Digit Health
Pays: United States
ID NLM: 9918335064206676

Informations de publication

Date de publication:
Oct 2023
Historique:
received: 04 11 2022
accepted: 11 08 2023
medline: 6 10 2023
pubmed: 6 10 2023
entrez: 6 10 2023
Statut: epublish

Résumé

Communicable diseases remain a leading cause of death and disability in low- and middle-income countries (LMICs). mHealth technologies carry considerable promise for managing these disorders within resource-poor settings, but many existing applications exclusively represent digital versions of existing guidelines or clinical calculators, communication facilitators, or patient self-management tools. We thus systematically searched PubMed, Web of Science, and Cochrane Central for studies published between January 2007 and October 2019 involving technologies that were mobile phone- or tablet-based; able to screen for, diagnose, or monitor a communicable disease of importance in LMICs; and targeted health professionals as primary users. We excluded technologies that digitized existing paper-based tools or facilitated communication (i.e., knowledge-based algorithms). Extracted data included disease category, pathogen type, diagnostic method, intervention purpose, study/target population, sample size, study methodology, development stage, accessory requirement, country of development, operating system, and cost. Given the search timeline, studies involving COVID-19 were not included in the analysis. Of 13,262 studies identified by the screen, 33 met inclusion criteria. 12% were randomized clinical trials (RCTs), with 58% of publications representing technical descriptions. 62% of studies had 100 or fewer subjects. All studied technologies involved diagnosis or screening steps; none addressed the monitoring of infections. 52% focused on priority diseases (HIV, malaria, tuberculosis), but only 12% addressed a neglected tropical disease. Although most reported studies were priced under 20USD at time of publication, two thirds of the records did not yet specify a cost for the study technology. We conclude that there are only a small number of mHealth technologies focusing on innovative methods of screening and diagnosing communicable diseases potentially of use in LMICs. Rigorous RCTs, analyses with large sample size, and technologies assisting in the monitoring of diseases are needed.

Identifiants

pubmed: 37801442
doi: 10.1371/journal.pdig.0000156
pii: PDIG-D-22-00325
pmc: PMC10558072
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e0000156

Informations de copyright

Copyright: This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

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Auteurs

Pascal Geldsetzer (P)

Division of Primary Care and Population Health, Department of Medicine, Stanford University; Stanford, California; United States of America.
Chan Zuckerberg Biohub; San Francisco, California; United States of America.
Center for Innovation in Global Health, Stanford University; Stanford, California; United States of America.

Sergio Flores (S)

Department of Public Health and Caring Sciences, Uppsala University; Sweden.

Blanca Flores (B)

Heidelberg University Hospital, Heidelberg; Germany.

Abu Bakarr Rogers (AB)

Stanford University School of Medicine; Stanford, California; United States of America.

Andrew Y Chang (AY)

Center for Innovation in Global Health, Stanford University; Stanford, California; United States of America.
Department of Epidemiology and Population Health, Stanford University; Stanford, California; United States of America.
Stanford Cardiovascular Institute, Stanford University; Stanford, California; United States of America.

Classifications MeSH