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dc.contributor.authorCruz-Ramos, Nancy Aracely
dc.contributor.authorAlor-Hernández, Giner
dc.contributor.authorColombo-Mendoza, Luis Omar
dc.contributor.authorSánchez-Cervantes, José Luis
dc.contributor.authorRodríguez-Mazahua, Lisbeth
dc.contributor.authorGuarneros-Nolasco, Luis Rolando
dc.date.accessioned2023-01-08T14:34:32Z
dc.date.available2023-01-08T14:34:32Z
dc.date.issued2022-02-08
dc.identifier.citationCruz-Ramos, N.A.; Alor-Hernández, G.; Colombo-Mendoza, L.O.; Sánchez-Cervantes, J.L.; Rodríguez-Mazahua, L.; Guarneros-Nolasco, L.R. mHealth Apps for Self-Management of Cardiovascular Diseases: A Scoping Review. Healthcare 2022, 10, 322. https://doi.org/10.3390/ healthcare10020322es
dc.identifier.issn2227-9032
dc.identifier.otherhttps://doi.org/10.3390/ healthcare10020322
dc.identifier.urihttp://repositorios.orizaba.tecnm.mx:8080/xmlui/handle/123456789/714
dc.descriptionThe 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.es
dc.description.abstractThe 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.es
dc.description.sponsorshipTECNM CONACYT PRODEPes
dc.language.isoen_USes
dc.publisherMDPI Publishinges
dc.relation.ispartofseriesHealthcare;
dc.subjectCardiovascular Diseaseses
dc.subjectmHealth Appses
dc.subjectSelf-Managementes
dc.titlemHealth Apps for Self-Management of Cardiovascular Diseases: A Scoping Reviewes
dc.typeArticlees


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