Cargando…

Processes and Recommendations for Creating mHealth Apps for Low-Income Populations

BACKGROUND: Mobile health (mHealth) apps have shown to improve health indicators, but concerns remain about the inclusion of populations from low- and medium-income countries (LMIC) in these new technologies. Atrial fibrillation (AF) is a chronic condition with a challenging management. Previous stu...

Descripción completa

Detalles Bibliográficos
Autores principales: Stephan, Laura Siga, Dytz Almeida, Eduardo, Guimaraes, Raphael Boesche, Ley, Antonio Gaudie, Mathias, Rodrigo Gonçalves, Assis, Maria Valéria, Leiria, Tiago Luiz Luz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5394264/
https://www.ncbi.nlm.nih.gov/pubmed/28373155
http://dx.doi.org/10.2196/mhealth.6510
_version_ 1783229705245163520
author Stephan, Laura Siga
Dytz Almeida, Eduardo
Guimaraes, Raphael Boesche
Ley, Antonio Gaudie
Mathias, Rodrigo Gonçalves
Assis, Maria Valéria
Leiria, Tiago Luiz Luz
author_facet Stephan, Laura Siga
Dytz Almeida, Eduardo
Guimaraes, Raphael Boesche
Ley, Antonio Gaudie
Mathias, Rodrigo Gonçalves
Assis, Maria Valéria
Leiria, Tiago Luiz Luz
author_sort Stephan, Laura Siga
collection PubMed
description BACKGROUND: Mobile health (mHealth) apps have shown to improve health indicators, but concerns remain about the inclusion of populations from low- and medium-income countries (LMIC) in these new technologies. Atrial fibrillation (AF) is a chronic condition with a challenging management. Previous studies have shown socioeconomic differences in the prescription of anticoagulant treatment and shared decision strategies are encouraged to achieve better outcomes. mHealth can aid both doctors and patients in this matter. OBJECTIVE: We describe the development of an mHealth app (aFib) idealized to aid shared decision between doctor and patient about anticoagulation prophylaxis in AF in a low-income and low-literacy population in Brazil. On the basis of our research, we suggest the processes to be followed when developing mHealth apps in this context. METHODS: A multidisciplinary team collected information about the target population and its needs and detected the best opportunity to insert the app in their current health care. Literature about the subject was reviewed and important data were selected to be delivered through good navigability, easy terminology, and friendly design. The app was evaluated in a multimethod setting. RESULTS: The steps suggested to develop an mHealth app target to LMIC are: (1) characterize the problem and the target user, (2) review the literature, (3) translate information to knowledge, (4) protect information, and (5) evaluate usability and efficacy. CONCLUSIONS: We expect that these recommendations can guide the development of new mHealth apps in LMIC, on a scientific basis.
format Online
Article
Text
id pubmed-5394264
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher JMIR Publications
record_format MEDLINE/PubMed
spelling pubmed-53942642017-05-04 Processes and Recommendations for Creating mHealth Apps for Low-Income Populations Stephan, Laura Siga Dytz Almeida, Eduardo Guimaraes, Raphael Boesche Ley, Antonio Gaudie Mathias, Rodrigo Gonçalves Assis, Maria Valéria Leiria, Tiago Luiz Luz JMIR Mhealth Uhealth Original Paper BACKGROUND: Mobile health (mHealth) apps have shown to improve health indicators, but concerns remain about the inclusion of populations from low- and medium-income countries (LMIC) in these new technologies. Atrial fibrillation (AF) is a chronic condition with a challenging management. Previous studies have shown socioeconomic differences in the prescription of anticoagulant treatment and shared decision strategies are encouraged to achieve better outcomes. mHealth can aid both doctors and patients in this matter. OBJECTIVE: We describe the development of an mHealth app (aFib) idealized to aid shared decision between doctor and patient about anticoagulation prophylaxis in AF in a low-income and low-literacy population in Brazil. On the basis of our research, we suggest the processes to be followed when developing mHealth apps in this context. METHODS: A multidisciplinary team collected information about the target population and its needs and detected the best opportunity to insert the app in their current health care. Literature about the subject was reviewed and important data were selected to be delivered through good navigability, easy terminology, and friendly design. The app was evaluated in a multimethod setting. RESULTS: The steps suggested to develop an mHealth app target to LMIC are: (1) characterize the problem and the target user, (2) review the literature, (3) translate information to knowledge, (4) protect information, and (5) evaluate usability and efficacy. CONCLUSIONS: We expect that these recommendations can guide the development of new mHealth apps in LMIC, on a scientific basis. JMIR Publications 2017-04-03 /pmc/articles/PMC5394264/ /pubmed/28373155 http://dx.doi.org/10.2196/mhealth.6510 Text en ©Laura Siga Stephan, Eduardo Dytz Almeida, Raphael Boesche Guimaraes, Antonio Gaudie Ley, Rodrigo Gonçalves Mathias, Maria Valéria Assis, Tiago Luiz Luz Leiria. Originally published in JMIR Mhealth and Uhealth (http://mhealth.jmir.org), 03.04.2017. https://creativecommons.org/licenses/by/2.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0/ (https://creativecommons.org/licenses/by/2.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR mhealth and uhealth, is properly cited. The complete bibliographic information, a link to the original publication on http://mhealth.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Stephan, Laura Siga
Dytz Almeida, Eduardo
Guimaraes, Raphael Boesche
Ley, Antonio Gaudie
Mathias, Rodrigo Gonçalves
Assis, Maria Valéria
Leiria, Tiago Luiz Luz
Processes and Recommendations for Creating mHealth Apps for Low-Income Populations
title Processes and Recommendations for Creating mHealth Apps for Low-Income Populations
title_full Processes and Recommendations for Creating mHealth Apps for Low-Income Populations
title_fullStr Processes and Recommendations for Creating mHealth Apps for Low-Income Populations
title_full_unstemmed Processes and Recommendations for Creating mHealth Apps for Low-Income Populations
title_short Processes and Recommendations for Creating mHealth Apps for Low-Income Populations
title_sort processes and recommendations for creating mhealth apps for low-income populations
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5394264/
https://www.ncbi.nlm.nih.gov/pubmed/28373155
http://dx.doi.org/10.2196/mhealth.6510
work_keys_str_mv AT stephanlaurasiga processesandrecommendationsforcreatingmhealthappsforlowincomepopulations
AT dytzalmeidaeduardo processesandrecommendationsforcreatingmhealthappsforlowincomepopulations
AT guimaraesraphaelboesche processesandrecommendationsforcreatingmhealthappsforlowincomepopulations
AT leyantoniogaudie processesandrecommendationsforcreatingmhealthappsforlowincomepopulations
AT mathiasrodrigogoncalves processesandrecommendationsforcreatingmhealthappsforlowincomepopulations
AT assismariavaleria processesandrecommendationsforcreatingmhealthappsforlowincomepopulations
AT leiriatiagoluizluz processesandrecommendationsforcreatingmhealthappsforlowincomepopulations