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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2017
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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 |
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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 |
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