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      Implementation of a Savvy Mobile ECG Sensor for Heart Rhythm Disorder Screening at the Primary Healthcare Level: An Observational Prospective Study

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          Abstract

          Introduction: The Jozef Stefan Institute developed a personal portable electrocardiogram (ECG) sensor Savvy that works with a smartphone, and this was used in our study. This study aimed to analyze the usefulness of telecardiology at the primary healthcare level using an ECG personal sensor. Methods: We included 400 patients with a history of suspected rhythm disturbance who visited their family physician at the Healthcare Center Ljubljana and Healthcare Center Murska Sobota from October 2016 to January 2018. Results: The study found that there was no statistically significant difference between the test and control groups in the number of present rhythm disorders and actions taken to treat patients with either observation or administration of a new drug. However, in the test group, there were significantly fewer patients being referred to a cardiologist than in the control group ( p < 0.001). Discussion: The use of an ECG sensor helps family physicians to distinguish between patients who need to be referred to a cardiologist and those who can be treated by them. This method is useful for both physicians and patients because it shortens the time taken to start treatment, can be used during pandemics such as COVID-19, and reduces unnecessary cost.

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          Most cited references42

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          Assessment of Remote Heart Rhythm Sampling Using the AliveCor Heart Monitor to Screen for Atrial Fibrillation

          Asymptomatic atrial fibrillation (AF) is increasingly common in the aging population and implicated in many ischemic strokes. Earlier identification of AF with appropriate anticoagulation may decrease stroke morbidity and mortality.
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            Effect of a Home-Based Wearable Continuous ECG Monitoring Patch on Detection of Undiagnosed Atrial Fibrillation

            Opportunistic screening for atrial fibrillation (AF) is recommended, and improved methods of early identification could allow for the initiation of appropriate therapies to prevent the adverse health outcomes associated with AF.
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              Systematic review of cost effectiveness studies of telemedicine interventions.

              To systematically review cost benefit studies of telemedicine. Systematic review of English language, peer reviewed journal articles. Searches of Medline, Embase, ISI citation indexes, and database of Telemedicine Information Exchange. STUDIES SELECTED: 55 of 612 identified articles that presented actual cost benefit data. Scientific quality of reports assessed by use of an established instrument for adjudicating on the quality of economic analyses. 557 articles without cost data categorised by topic. 55 articles with data initially categorised by cost variables employed in the study and conclusions. Only 24/55 (44%) studies met quality criteria justifying inclusion in a quality review. 20/24 (83%) restricted to simple cost comparisons. No study used cost utility analysis, the conventional means of establishing the "value for money" that a therapeutic intervention represents. Only 7/24 (29%) studies attempted to explore the level of utilisation that would be needed for telemedicine services to compare favourably with traditionally organised health care. None addressed this question in sufficient detail to adequately answer it. 15/24 (62.5%) of articles reviewed here provided no details of sensitivity analysis, a method all economic analyses should incorporate. There is no good evidence that telemedicine is a cost effective means of delivering health care.
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                Author and article information

                Journal
                Micromachines (Basel)
                Micromachines (Basel)
                micromachines
                Micromachines
                MDPI
                2072-666X
                05 January 2021
                January 2021
                : 12
                : 1
                : 55
                Affiliations
                [1 ]Healthcare Center Murska Sobota, 9000 Murska Sobota, Slovenia
                [2 ]Healthcare Center Ljubljana, 1000 Ljubljana, Slovenia; antonija.poplas-susic@ 123456zd-lj.si
                [3 ]Department of Family Medicine, Medical Faculty, University of Maribor, 2000 Maribor, Slovenia; erika.zelko@ 123456um.si
                Author notes
                [* ]Correspondence: stasa.vodicka@ 123456um.si ; Tel.: +386-51654799
                Author information
                https://orcid.org/0000-0001-6317-8971
                https://orcid.org/0000-0002-4328-3333
                Article
                micromachines-12-00055
                10.3390/mi12010055
                7824824
                33466536
                f69a6949-6e78-48d9-8736-8e33197923c4
                © 2021 by the authors.

                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 ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 03 December 2020
                : 03 January 2021
                Categories
                Article

                heart rhythm disorders,palpitations,primary healthcare,personal mobile ecg sensor,referrals

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