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mHealth Apps for Self-Management of Cardiovascular Diseases: A Scoping Review
The use of mHealth apps for the self-management of cardiovascular diseases (CVDs) is an increasing trend in patient-centered care. In this research, we conduct a scoping review of mHealth apps for CVD self-management within the period 2014 to 2021. Our review revolves around six main aspects of the...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8872534/ https://www.ncbi.nlm.nih.gov/pubmed/35206936 http://dx.doi.org/10.3390/healthcare10020322 |
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author | Cruz-Ramos, Nancy Aracely Alor-Hernández, Giner Colombo-Mendoza, Luis Omar Sánchez-Cervantes, José Luis Rodríguez-Mazahua, Lisbeth Guarneros-Nolasco, Luis Rolando |
author_facet | Cruz-Ramos, Nancy Aracely Alor-Hernández, Giner Colombo-Mendoza, Luis Omar Sánchez-Cervantes, José Luis Rodríguez-Mazahua, Lisbeth Guarneros-Nolasco, Luis Rolando |
author_sort | Cruz-Ramos, Nancy Aracely |
collection | PubMed |
description | The use of mHealth apps for the self-management of cardiovascular diseases (CVDs) is an increasing trend in patient-centered care. In this research, we conduct a scoping review of mHealth apps for CVD self-management within the period 2014 to 2021. Our review revolves around six main aspects of the current status of mHealth apps for CVD self-management: main CVDs managed, main app functionalities, disease stages managed, common approaches used for data extraction, analysis, management, common wearables used for CVD detection, monitoring and/or identification, and major challenges to overcome and future work remarks. Our review is based on Arksey and O’Malley’s methodological framework for conducting studies. Similarly, we adopted the PRISMA model for reporting systematic reviews and meta-analyses. Of the 442 works initially retrieved, the review comprised 38 primary studies. According to our results, the most common CVDs include arrhythmia (34%), heart failure (32%), and coronary heart disease (18%). Additionally, we found that the majority mHealth apps for CVD self-management can provide medical recommendations, medical appointments, reminders, and notifications for CVD monitoring. Main challenges in the use of mHealth apps for CVD self-management include overcoming patient reluctance to use the technology and achieving the interoperability of mHealth applications with other systems. |
format | Online Article Text |
id | pubmed-8872534 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-88725342022-02-25 mHealth Apps for Self-Management of Cardiovascular Diseases: A Scoping Review Cruz-Ramos, Nancy Aracely Alor-Hernández, Giner Colombo-Mendoza, Luis Omar Sánchez-Cervantes, José Luis Rodríguez-Mazahua, Lisbeth Guarneros-Nolasco, Luis Rolando Healthcare (Basel) Review The use of mHealth apps for the self-management of cardiovascular diseases (CVDs) is an increasing trend in patient-centered care. In this research, we conduct a scoping review of mHealth apps for CVD self-management within the period 2014 to 2021. Our review revolves around six main aspects of the current status of mHealth apps for CVD self-management: main CVDs managed, main app functionalities, disease stages managed, common approaches used for data extraction, analysis, management, common wearables used for CVD detection, monitoring and/or identification, and major challenges to overcome and future work remarks. Our review is based on Arksey and O’Malley’s methodological framework for conducting studies. Similarly, we adopted the PRISMA model for reporting systematic reviews and meta-analyses. Of the 442 works initially retrieved, the review comprised 38 primary studies. According to our results, the most common CVDs include arrhythmia (34%), heart failure (32%), and coronary heart disease (18%). Additionally, we found that the majority mHealth apps for CVD self-management can provide medical recommendations, medical appointments, reminders, and notifications for CVD monitoring. Main challenges in the use of mHealth apps for CVD self-management include overcoming patient reluctance to use the technology and achieving the interoperability of mHealth applications with other systems. MDPI 2022-02-08 /pmc/articles/PMC8872534/ /pubmed/35206936 http://dx.doi.org/10.3390/healthcare10020322 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Cruz-Ramos, Nancy Aracely Alor-Hernández, Giner Colombo-Mendoza, Luis Omar Sánchez-Cervantes, José Luis Rodríguez-Mazahua, Lisbeth Guarneros-Nolasco, Luis Rolando mHealth Apps for Self-Management of Cardiovascular Diseases: A Scoping Review |
title | mHealth Apps for Self-Management of Cardiovascular Diseases: A Scoping Review |
title_full | mHealth Apps for Self-Management of Cardiovascular Diseases: A Scoping Review |
title_fullStr | mHealth Apps for Self-Management of Cardiovascular Diseases: A Scoping Review |
title_full_unstemmed | mHealth Apps for Self-Management of Cardiovascular Diseases: A Scoping Review |
title_short | mHealth Apps for Self-Management of Cardiovascular Diseases: A Scoping Review |
title_sort | mhealth apps for self-management of cardiovascular diseases: a scoping review |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8872534/ https://www.ncbi.nlm.nih.gov/pubmed/35206936 http://dx.doi.org/10.3390/healthcare10020322 |
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