Cited by 88Mobile Health and mHealth ApplicationsMobile Learning in EducationHealth, Technology, Consumer Behavior

Mobile health in emerging countries: A survey of research initiatives in Brazil

Iwaya, L.H., Gomes, M.A.L., Simplício, M.A., Carvalho, T.C.M.B., Dominicini, C.K., Sakuragui, R.R.M., Rebelo, M.S., Gutierrez, M.A. +2 more·2013·International Journal of Medical Informatics

Abstract

Objective To conduct a comprehensive survey of mobile health (mHealth) research initiatives in Brazil, discussing current challenges, gaps, opportunities and tendencies. Methods Systematic review of publicly available electronic documents related to mHealth, including scientific publications, technical reports and descriptions of commercial products. Specifically, 42 projects are analyzed and classified according to their goals. This analysis considers aspects such as security features provided (if any), the health condition that are focus of attention, the main providers involved in the projects development and deployment, types of devices used, target users, where the projects are tested and/or deployed, among others. Results The study shows a large number (86%) of mHealth solutions focused on the following categories: health surveys, surveillance, patient records and monitoring. Meanwhile, treatment compliance, awareness raising and decision support systems are less explored. The main providers of solutions are the universities (56%) and health units (32%), with considerable cooperation between such entities. Most applications have physicians (55%) and Community Health Agents (CHAs) (33%) as targeted users, the latter being important elements in nation-wide governmental health programs. Projects focused on health managers, however, are a minority (5%). The majority of projects do not focus on specific diseases but rather general health (57%), although solutions for hearth conditions are reasonably numerous (21%). Finally, the lack of security mechanisms in the majority of the surveyed solutions (52%) may hinder their deployment in the field due to the lack of compliance with general regulations for medical data handling. Conclusion There are currently many mHealth initiatives in Brazil, but some areas have not been much explored, such as solutions for treatment compliance and awareness raising, as well as decision support systems. Another research trend worth exploring refers to creating interoperable security mechanisms, especially for widely explored mHealth categories such as health surveys, patient records and monitoring. Challenges for the expansion of mHealth solutions, both in number and coverage, include the further involvement of health managers in the deployment of such solutions and in coordinating efforts among health and research institutions interested in the mHealth trend, possibly exploring the widespread presence of CHAs around the country as users of such technology.

Integrity signals

Registry

Crossref · 10.1016/j.ijmedinf.2013.01.003

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Iwaya, L. H., Gomes, M. A. L., Simplício, M. A., Carvalho, T. C. M. B., Dominicini, C. K., Sakuragui, R. R. M., Rebelo, M. S., Gutierrez, M. A., Näslund, M., & Håkansson, P.
Affiliations
  • Universidade de São Paulo (BR)
  • Ericsson (Sweden) (SE)
Venue
International Journal of Medical Informatics
Publisher
Elsevier BV
Published
2013-05
Volume
82
Issue
5
Pages
283-298
ISSN
1386-5056 (ISSN-L)
OpenAlex
W1967965485
Cited by
88
References
2
Citations by year
2026: 2 · 2025: 2 · 2024: 2 · 2023: 2 · 2022: 6 · 2021: 6 · 2020: 10 · 2019: 8 · 2018: 9 · 2017: 10 · 2016: 8 · 2015: 11 · 2014: 11 · 2013: 1
FWCI
1.24
Type
journal article
Language
en
Open access
closed
Locations
  • International Journal of Medical Informatics (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
  • Physical Sciences › Computer Science › Information Systems › Mobile Learning in Education
  • Health Sciences › Health Professions › Health Information Management › Health, Technology, Consumer Behavior
Keywords
mobile health, Brazil, health surveillance, patient monitoring, health records, medication adherence, decision support system, health awareness, community health agents, medical data security, interoperability, health information systems, health managers
MeSH terms
Brazil, Humans, National Health Programs, Research Design, Telemedicine

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review