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      Evaluation of mHealth Applications Related to Cardiovascular Diseases: a Systematic Review

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          Abstract

          Introduction:

          Currently, with the widespread penetration of mobile devices with Internet access, including smartphones, they can allow specific and/or complementary activities in the health field as well as in other commercial sectors.

          Aim:

          This systematic review examined the impact of mHealth-based for cardiovascular research. The specific aims of the systematic review are to ( 1) classification of the studies according to the type of research (scientific articles and master’s and doctoral theses) and ( 2) relationship of studies with topics associated with cardiovascular diseases.

          Results:

          This review corresponds to information in scientific journals of high impact. This review intends to respond to the following question: How these research works have evaluated the performance of health mobile applications, with a special interest in cardiac issues? This review of these searches corresponds to an analysis by 14 categories, being these: 1) Scientific paper; 2) Doctoral Thesis; 3) Master thesis; 4) Telemedicine; 5) m-sssshealth, e-health; 6) cardiovascular, coronary diseases, heart failures, cardiopulmonary, cardiac rehabilitation; 7) rural health; 8) prevention and control, protection; 9) wearables; 10) mobile, web applications, app, smartphone, software, platform; 11) mhealth education, training, promotion, formative process; 12) self-management; 13) Multiple Vital Sign Monitoring, medical device, heart rate measurement, health care information systems; 14) health regulatory. It provides evidence of how some apps have been evaluated, and in some cases, the effectiveness of the estimated accuracy is not in line with the real situation.

          Conclusion:

          The analysis of these studies allows us to locate the sources of the development of mobile health projects. It also guides us to discover some needs that require new technology implementations.

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          Most cited references45

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          Intention to Use mHealth in Older Adults With Heart Failure

          Background mHealth, or the use of mobile technology in healthcare, is becoming increasingly common. In heart failure (HF), mHealth has been associated with improved self-management and quality of life. However, it is known that older adults continue to lag behind their younger counterparts when it comes to mobile technology adoption. Objective The primary aim of this study was to examine factors that influence intention to use mHealth among older adults with HF Methods An adapted Technology Acceptance Model was used to guide this cross-sectional, correlational study. Convenience sampling was used to participants from a large university hospital and online. Results A total of 129 older adults with HF participated in the study. Social influence (β=0.17, P =0.010), perceived ease of use (β=0.16, P <0.001), and perceived usefulness (β=0.33, P <0.001) were significantly associated with intention to use mHealth even after controlling for potential confounders (age, gender, race, education, income, and smartphone use). Perceived financial cost and eHealth literacy were not significantly associated with intention to use mHealth. Conclusions Researchers should consider using the participatory approach in developing their interventions in order to ensure that their mHealth-based interventions will not only address the patient’s HF self-management needs, but also be easy enough to use even for those who are less technology-savvy.
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            Mobile Phone Interventions for the Secondary Prevention of Cardiovascular Disease.

            Mobile health in the form of text messaging and mobile applications provides an innovative and effective approach to promote prevention and management of cardiovascular disease (CVD); however, the magnitude of these effects is unclear. Through a comprehensive search of databases from 2002-2016, we conducted a quantitative systematic review. The selected studies were critically evaluated to extract and summarize pertinent characteristics and outcomes. A large majority of studies (22 of 28, 79%) demonstrated text messaging, mobile applications, and telemonitoring via mobile phones were effective in improving outcomes. Some key factors associated with successful interventions included personalized messages with tailored advice, greater engagement (2-way text messaging, higher frequency of messages), and use of multiple modalities. Overall, text messaging appears more effective than smartphone-based interventions. Incorporating principles of behavioral activation will help promote and sustain healthy lifestyle behaviors in patients with CVD that result in improved clinical outcomes.
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              Perspectives on the evolution of mobile (mHealth) technologies and application to rehabilitation.

              Individuals with chronic conditions and disabilities who are vulnerable to secondary complications often require complex habilitative and rehabilitative services to prevent and treat these complications. This perspective article reviews the evolution of mHealth technologies and presents insights as to how this evolution informed our development of a novel mHealth system, iMHere (interactive mobile health and rehabilitation), and other technologies, including those used by the Veterans Administration. This article will explain the novel applications of mHealth for rehabilitation and specifically physical therapy. Perspectives on the roles of rehabilitation professionals in the delivery of health care using mHealth systems are included. Challenges to mHealth, including regulatory and funding issues, are discussed. This article also describes how mHealth can be used to improve patient satisfaction and delivery of care and to promote health and wellness.
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                Author and article information

                Journal
                Acta Inform Med
                Acta Inform Med
                Acta Informatica Medica
                Academy of Medical sciences (Bosnia and Herzegovina )
                0353-8109
                1986-5988
                June 2020
                : 28
                : 2
                : 130-137
                Affiliations
                [1 ]Computer Systems Engineering Department, Technological University of Panama, El Dorado, Panama City, Republic of Panama
                [2 ]Research Group in Emerging Computational Technologies, Technological University of Panama, El Dorado, Panama City, Republic of Panama
                [3 ]Technological University of Panama, El Dorado, Panama City, Republic of Panama
                Author notes
                Corresponding author: Vladimir Villarreal. Computer Systems Engineering Department, Technological University of Panama, 0819 07289, El Dorado, Panama City, Republic of Panama. vladimir.villarreal@ 123456utp.ac.pa (V.V.). ORCID ID: https://orcid.org/0000-0003-4678-5977.
                Article
                AIM-28-130
                10.5455/aim.2020.28.130-137
                7382776
                32742066
                53e4158f-a7ec-4468-9963-704dcfd4aeac
                © 2020 Vladimir Villarreal, Aranzazu Berbey-Alvarez

                This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 13 March 2020
                : 08 June 2020
                Categories
                Review

                Bioinformatics & Computational biology
                cardiovascular diseases,cardiovascular applications,heart rate monitoring,mobile health development,wearables technologies

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