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Queiroz C, Guerreiro C, Oliveira-Santos M, Ferreira D, Fontes-Carvalho R, Ladeiras-Lopes R. Digital health and cardiovascular healthcare professionals in Portugal: Current status, expectations and barriers to implementation. Rev Port Cardiol 2024; 43:459-467. [PMID: 38460748 DOI: 10.1016/j.repc.2023.10.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2023] [Revised: 08/19/2023] [Accepted: 10/13/2023] [Indexed: 03/11/2024] Open
Abstract
INTRODUCTION AND OBJECTIVES Digital health (DH) is a broad concept, bringing together technology and healthcare, that is playing an increasingly important role in the daily routine of healthcare professionals (HCPs) and promises to contribute to the prevention and treatment of cardiovascular disease. There are no solid data on the position of Portuguese HCPs toward the implementation of DH in cardiovascular medicine. This national cross-sectional study aims to provide a snapshot of DH implementation in Portuguese cardiovascular HCP routines and to identify both expectations and barriers to its adoption. METHODS An 18-question survey was created specifically for this study and distributed to 1174 individuals on the Portuguese Society of Cardiology mailing list. RESULTS We collected 117 valid responses (response rate 10%). Almost all participants had smartphones and laptops, and two-thirds had tablets. Electronic medical information systems were the most used DH tool (84% of respondents) and were considered the most important for improving cardiovascular care. Implantable technologies (sensors and devices), telemedicine and social media were used by more than two out of three respondents and considered «very important» or «extremely important» by most of them. Most participants showed positive expectations regarding the impact of DH in cardiovascular medicine: 78% agreed that DH could improve health outcomes, 64% that it promotes health literacy and 63% that it could decrease healthcare costs. The top-rated barriers were patients' inability to use smartphones, limited access to electronic devices, and lack of legal regulation of DH. CONCLUSION Most Portuguese cardiovascular HCPs had at least three electronic devices (mainly smartphones, laptops and tablets) and showed positive expectations regarding DH's current and future impact on cardiovascular medicine. Patient DH literacy, technology adoption, and DH regulation were identified as the most important barriers to increasing the adoption of DH tools in cardiovascular medicine.
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Affiliation(s)
| | - Cláudio Guerreiro
- Cardiology Department, Gaia Hospital Centre, Vila Nova de Gaia, Portugal
| | | | - Daniel Ferreira
- Intensive Care Unit, Hospital da Luz Lisboa, Lisbon, Portugal
| | - Ricardo Fontes-Carvalho
- Cardiology Department, Gaia Hospital Centre, Vila Nova de Gaia, Portugal; Cardiovascular R&D Unit, Faculty of Medicine, University of Porto, Porto, Portugal; Department of Surgery and Physiology, Faculty of Medicine, University of Porto, Portugal
| | - Ricardo Ladeiras-Lopes
- Cardiovascular R&D Unit, Faculty of Medicine, University of Porto, Porto, Portugal; Department of Surgery and Physiology, Faculty of Medicine, University of Porto, Portugal.
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Koole MA, de Jong S, Mulder BJ, Bouma BJ, Schuuring MJ. Value of Extended Arrhythmia Screening in Adult Congenital Heart Disease Patients. Arrhythm Electrophysiol Rev 2024; 13:e07. [PMID: 38807745 PMCID: PMC11131155 DOI: 10.15420/aer.2023.28] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Accepted: 12/27/2023] [Indexed: 05/30/2024] Open
Abstract
The European Society of Cardiology guidelines for the management of adult congenital heart disease patients recommend screening for arrhythmias and bradycardias in symptomatic patients, often being done by means of an ambulatory 24-48-hour Holter or implantable loop recorder (ILR). However, nowadays non-invasive instruments, such as patches, smartwatches and smartphones based on single-lead ECGs that perform extended monitoring, are also available. The aim of this narrative review was to assess whether these instruments, when they detect arrhythmias and bradycardias in patients with adult congenital heart disease, will lead to meaningful changes in clinical care. Clinically meaningful changes include adjustment of medication, cardioversion, electrophysiology study, ablation or implantation of a cardiovascular implantable electronic device. The following monitoring instruments are discussed: cumulative Holter, 2-week continuous monitor, smartwatchand smartphone-based single-lead ECG, and ILR. The diagnostic yield of extended rhythm monitoring is high, and varies between 18% (smartphone-based single-lead ECG) and 41% with ILR. In conclusion, contemporary arrhythmia screening includes various new non-invasive technologies that are promising new tools as an alternative to Holter monitoring or ILR. However, the optimal mode of detection is still unclear due to the lack of head-to-head comparisons.
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Affiliation(s)
- Maarten Antonius Koole
- Department of Cardiology, Amsterdam UMC Amsterdam, the Netherlands
- Cardiology Centres of the Netherlands Amsterdam, the Netherlands
- Department of Cardiology, Rode Kruis Ziekenhuis Beverwijk, the Netherlands
| | - Sanne de Jong
- Department of Cardiology, Amsterdam UMC Amsterdam, the Netherlands
| | - Barbara J Mulder
- Department of Cardiology, Amsterdam UMC Amsterdam, the Netherlands
| | | | - Mark Johan Schuuring
- Department of Cardiology, Amsterdam UMC Amsterdam, the Netherlands
- Department of Cardiology, Medisch Spectrum Twente Enschede, the Netherlands
- Circulatory Health, UMC Utrecht Utrecht, the Netherlands
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van Kessel R, Roman-Urrestarazu A, Anderson M, Kyriopoulos I, Field S, Monti G, Reed SD, Pavlova M, Wharton G, Mossialos E. Mapping Factors That Affect the Uptake of Digital Therapeutics Within Health Systems: Scoping Review. J Med Internet Res 2023; 25:e48000. [PMID: 37490322 PMCID: PMC10410406 DOI: 10.2196/48000] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Revised: 05/31/2023] [Accepted: 06/16/2023] [Indexed: 07/26/2023] Open
Abstract
BACKGROUND Digital therapeutics are patient-facing digital health interventions that can significantly alter the health care landscape. Despite digital therapeutics being used to successfully treat a range of conditions, their uptake in health systems remains limited. Understanding the full spectrum of uptake factors is essential to identify ways in which policy makers and providers can facilitate the adoption of effective digital therapeutics within a health system, as well as the steps developers can take to assist in the deployment of products. OBJECTIVE In this review, we aimed to map the most frequently discussed factors that determine the integration of digital therapeutics into health systems and practical use of digital therapeutics by patients and professionals. METHODS A scoping review was conducted in MEDLINE, Web of Science, Cochrane Database of Systematic Reviews, and Google Scholar. Relevant data were extracted and synthesized using a thematic analysis. RESULTS We identified 35,541 academic and 221 gray literature reports, with 244 (0.69%) included in the review, covering 35 countries. Overall, 85 factors that can impact the uptake of digital therapeutics were extracted and pooled into 5 categories: policy and system, patient characteristics, properties of digital therapeutics, characteristics of health professionals, and outcomes. The need for a regulatory framework for digital therapeutics was the most stated factor at the policy level. Demographic characteristics formed the most iterated patient-related factor, whereas digital literacy was considered the most important factor for health professionals. Among the properties of digital therapeutics, their interoperability across the broader health system was most emphasized. Finally, the ability to expand access to health care was the most frequently stated outcome measure. CONCLUSIONS The map of factors developed in this review offers a multistakeholder approach to recognizing the uptake factors of digital therapeutics in the health care pathway and provides an analytical tool for policy makers to assess their health system's readiness for digital therapeutics.
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Affiliation(s)
- Robin van Kessel
- LSE Health, Department of Health Policy, London School of Economics and Political Science, London, United Kingdom
- Department of International Health, Care and Public Health Research Institute, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, Netherlands
| | - Andres Roman-Urrestarazu
- Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, United States
| | - Michael Anderson
- LSE Health, Department of Health Policy, London School of Economics and Political Science, London, United Kingdom
| | - Ilias Kyriopoulos
- LSE Health, Department of Health Policy, London School of Economics and Political Science, London, United Kingdom
| | - Samantha Field
- Department of Health Services Research and Policy, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Giovanni Monti
- LSE Health, Department of Health Policy, London School of Economics and Political Science, London, United Kingdom
| | - Shelby D Reed
- Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC, United States
| | - Milena Pavlova
- Department of Health Services Research, Care and Public Health Research Institute, Faculty of Health Medicine and Life Science, Maastricht University, Maastricht, Netherlands
| | - George Wharton
- LSE Health, Department of Health Policy, London School of Economics and Political Science, London, United Kingdom
| | - Elias Mossialos
- LSE Health, Department of Health Policy, London School of Economics and Political Science, London, United Kingdom
- Institute of Global Health Innovation, Imperial College London, London, United Kingdom
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Koole MA, Kauw D, Kooiman KM, de Groot JR, Robbers-Visser D, Tulevski II, Mulder BJ, Bouma BJ, Schuuring MJ. An implantable loop recorder or smartphone based single-lead electrocardiogram to detect arrhythmia in adults with congenital heart disease? Front Cardiovasc Med 2023; 9:1099014. [PMID: 36684593 PMCID: PMC9852830 DOI: 10.3389/fcvm.2022.1099014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Accepted: 12/13/2022] [Indexed: 01/09/2023] Open
Abstract
Background The European Society of Cardiology (ESC) guidelines for the management of adult congenital heart disease (ACHD) recommend screening in patients at risk for arrhythmic events. However, the optimal mode of detection is unknown. Methods Baseline and follow-up data of symptomatic ACHD patients who received an implantable loop recorder (ILR) or who participated in a smartphone based single-lead electrocardiogram study were collected. The primary endpoint was time to first detected arrhythmia. Results In total 116 ACHD patients (mean age 42 years, 44% male) were studied. The ILR group (n = 23) differed from the smartphone based single-lead electrocardiogram group (n = 93) in having a greater part of males and had more severe CHD and (near) syncope as qualifying diagnosis. In the smartphone based single-lead electrocardiogram group history of arrhythmia and palpitations were more frequent (all p < 0.05). Monitoring was performed for 40 and 79 patient-years for the ILR- and smartphone based single-lead electrocardiogram group, respectively. Arrhythmias occurred in 33 patients with an equal median time for both groups to first arrhythmia of 3 months (HR of 0.7, p = 0.81). Furthermore, atrial fibrillation occurred most often (n = 16) and common therapy changes included medication changes (n = 7) and implantation of pacemaker or Implantable Cardioverter Defibrillator (ICD) (N = 4). Symptoms or mode of detection were not a determinant of the first event. Conclusion Non-invasive smartphone based single-lead electrocardiogram monitoring could be an acceptable alternative for ILR implantation in detecting arrhythmia in symptomatic ACHD patients in respect to diagnostic yield, safety and management decisions, especially in those without syncope.
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Affiliation(s)
- Maarten A. Koole
- Department of Cardiology, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands,Cardiology Centers of the Netherlands, Amsterdam, Netherlands,Department of Cardiology, Rode Kruis Ziekenhuis Beverwijk, Beverwijk, Netherlands
| | - Dirkjan Kauw
- Department of Cardiology, Haga Teaching Hospital, The Hague, Netherlands
| | - Kirsten M. Kooiman
- Department of Cardiology, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
| | - Joris R. de Groot
- Department of Cardiology, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
| | | | | | - Barbara J. Mulder
- Department of Cardiology, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
| | - Berto J. Bouma
- Department of Cardiology, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
| | - Mark J. Schuuring
- Department of Cardiology, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands,Netherlands Heart Institute, Utrecht, Netherlands,Department of Cardiology, UMC Utrecht, Utrecht, Netherlands,*Correspondence: Mark J. Schuuring,
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Biersteker TE, Boogers MJ, Schalij MJ, Penning de Vries BBL, Groenwold RHH, van Alem AP, de Weger A, van Hof N, Treskes RW. Mobile health vs. standard care after cardiac surgery: results of The Box 2.0 study. Europace 2022; 25:49-58. [PMID: 35951658 PMCID: PMC9907478 DOI: 10.1093/europace/euac115] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Accepted: 05/25/2022] [Indexed: 11/13/2022] Open
Abstract
AIMS Postoperative atrial fibrillation (POAF) is a common complication of cardiac surgery, yet difficult to detect in ambulatory patients. The primary aim of this study is to investigate the effect of a mobile health (mHealth) intervention on POAF detection after cardiac surgery. METHODS AND RESULTS We performed an observational cohort study among 730 adult patients who underwent cardiac surgery at a tertiary care hospital in The Netherlands. Of these patients, 365 patients received standard care and were included as a historical control group, undergoing surgery between December 2017 and September 2018, and 365 patients were prospectively included from November 2018 and November 2020, undergoing an mHealth intervention which consisted of blood pressure, temperature, weight, and electrocardiogram (ECG) monitoring. One physical outpatient follow-up moment was replaced by an electronic visit. All patients were requested to fill out a satisfaction and quality of life questionnaire. Mean age in the intervention group was 62 years, 275 (70.4%) patients were males. A total of 4136 12-lead ECGs were registered. In the intervention group, 61 (16.7%) patients were diagnosed with POAF vs. 25 (6.8%) patients in the control group [adjusted risk ratio (RR) of POAF detection: 2.15; 95% confidence interval (CI): 1.55-3.97]. De novo atrial fibrillation was found in 13 patients using mHealth (6.5%) vs. 4 control group patients (1.8%; adjusted RR 3.94, 95% CI: 1.50-11.27). CONCLUSION Scheduled self-measurements with mHealth devices could increase the probability of detecting POAF within 3 months after cardiac surgery. The effect of an increase in POAF detection on clinical outcomes needs to be addressed in future research.
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Affiliation(s)
- Tom E Biersteker
- Department of Cardiology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, The Netherlands
| | - Mark J Boogers
- Department of Cardiology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, The Netherlands
| | | | - Bas B L Penning de Vries
- Department of Clinical Epidemiology and Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
| | - Rolf H H Groenwold
- Department of Clinical Epidemiology and Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
| | - Anouk P van Alem
- Department of Cardiology, Haaglanden Medisch Centrum, The Hague, The Netherlands
| | - Arend de Weger
- Department of Cardiothoracic Surgery, Leiden University Medical Center, Leiden, The Netherlands
| | - Nicolette van Hof
- Department of Cardiology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, The Netherlands
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Biersteker TE, Hilt AD, van der Velde ET, Schalij MJ, Treskes RW. The Box: Methods and Results of a Real World Experience of mHealth Implementation in Clinical Practice. JMIR Cardio 2021; 5:e26072. [PMID: 34642159 PMCID: PMC8726018 DOI: 10.2196/26072] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2020] [Revised: 02/15/2021] [Accepted: 10/03/2021] [Indexed: 01/13/2023] Open
Abstract
Background Mobile health (mHealth) is an emerging field of scientific interest worldwide. Potential benefits include increased patient engagement, improved clinical outcomes, and reduced health care costs. However, mHealth is often studied in projects or trials, and structural implantation in clinical practice is less common. Objective The purpose of this paper is to outline the design of the Box and its implementation and use in an outpatient clinic setting. The impact on logistical outcomes and patient and provider satisfaction is discussed. Methods In 2016, an mHealth care track including smartphone-compatible devices, named the Box, was implemented in the cardiology department of a tertiary medical center in the Netherlands. Patients with myocardial infarction, rhythm disorders, cardiac surgery, heart failure, and congenital heart disease received devices to measure daily weight, blood pressure, heart rate, temperature, and oxygen saturation. In addition, professional and patient user comments on the experience with the care track were obtained via structured interviews. Results From 2016 to April 2020, a total of 1140 patients were connected to the mHealth care track. On average, a Box cost €350 (US $375), not including extra staff costs. The median patient age was 60.8 (IQR 52.9-69.3) years, and 73.59% (839/1140) were male. A median of 260 (IQR 105-641) measurements was taken on a median of 189 (IQR 98-372) days. Patients praised the ease of use of the devices and felt more involved with their illness and care. Professionals reported more productive outpatient consultations as well as improved insight into health parameters such as blood pressure and weight. A feedback loop from the hospital to patient to focus on measurements was commented as an important improvement by both patients and professionals. Conclusions In this study, the design and implementation of an mHealth care track for outpatient follow-up of patients with various cardiovascular diseases is described. Data from these 4 years indicate that mHealth is feasible to incorporate in outpatient management and is generally well-accepted by patients and providers. Limitations include the need for manual measurement data checks and the risk of data overload. Moreover, the tertiary care setting in which the Box was introduced may limit the external validity of logistical and financial end points to other medical centers. More evidence is needed to show the effects of mHealth on clinical outcomes and on cost-effectiveness.
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Mack C, Terhorst Y, Stephan M, Baumeister H, Stach M, Messner EM, Bengel J, Sander LB. "Help in a Heartbeat?": A Systematic Evaluation of Mobile Health Applications (Apps) for Coronary Heart Disease. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:10323. [PMID: 34639623 PMCID: PMC8508430 DOI: 10.3390/ijerph181910323] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Revised: 09/18/2021] [Accepted: 09/20/2021] [Indexed: 01/14/2023]
Abstract
For patients with coronary heart disease (CHD) lifestyle changes and disease management are key aspects of treatment that could be facilitated by mobile health applications (MHA). However, the quality and functions of MHA for CHD are largely unknown, since reviews are missing. Therefore, this study assessed the general characteristics, quality, and functions of MHA for CHD. Hereby, the Google Play and Apple App stores were systematically searched using a web crawler. The general characteristics and quality of MHA were rated with the Mobile Application Rating Scale (MARS) by two independent raters. From 3078 identified MHA, 38 met the pre-defined criteria and were included in the assessment. Most MHA were affiliated with commercial companies (52.63%) and lacked an evidence-base. An overall average quality of MHA (M = 3.38, SD = 0.36) was found with deficiencies in information quality and engagement. The most common functions were provision of information and CHD risk score calculators. Further functions included reminders (e.g., for medication or exercises), feedback, and health management support. Most MHA (81.58%) had one or two functions and MHA with more features had mostly higher MARS ratings. In summary, this review demonstrated that a number of potentially helpful MHA for patients with CHD are commercially available. However, there is a lack of scientific evidence documenting their usability and clinical potential. Since it is difficult for patients and healthcare providers to find suitable and high-quality MHA, databases with professionally reviewed MHA are required.
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Affiliation(s)
- Chiara Mack
- Department of Rehabilitation Psychology and Psychotherapy, Institute of Psychology, Albert-Ludwigs-University of Freiburg, 79085 Freiburg, Germany; (C.M.); (M.S.); (J.B.)
| | - Yannik Terhorst
- Department of Clinical Psychology and Psychotherapy, Institute of Psychology and Education, Ulm University, 89040 Ulm, Germany; (Y.T.); (H.B.); (E.-M.M.)
| | - Mirjam Stephan
- Department of Rehabilitation Psychology and Psychotherapy, Institute of Psychology, Albert-Ludwigs-University of Freiburg, 79085 Freiburg, Germany; (C.M.); (M.S.); (J.B.)
| | - Harald Baumeister
- Department of Clinical Psychology and Psychotherapy, Institute of Psychology and Education, Ulm University, 89040 Ulm, Germany; (Y.T.); (H.B.); (E.-M.M.)
| | - Michael Stach
- Institute of Databases and Information Systems, Ulm University, 89040 Ulm, Germany;
| | - Eva-Maria Messner
- Department of Clinical Psychology and Psychotherapy, Institute of Psychology and Education, Ulm University, 89040 Ulm, Germany; (Y.T.); (H.B.); (E.-M.M.)
| | - Jürgen Bengel
- Department of Rehabilitation Psychology and Psychotherapy, Institute of Psychology, Albert-Ludwigs-University of Freiburg, 79085 Freiburg, Germany; (C.M.); (M.S.); (J.B.)
| | - Lasse B. Sander
- Department of Rehabilitation Psychology and Psychotherapy, Institute of Psychology, Albert-Ludwigs-University of Freiburg, 79085 Freiburg, Germany; (C.M.); (M.S.); (J.B.)
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Solberg Nes L. Digital Health in Cardiology: Time for Action. Cardiology 2019; 145:106-109. [PMID: 31825946 DOI: 10.1159/000504797] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/15/2019] [Accepted: 11/15/2019] [Indexed: 11/19/2022]
Affiliation(s)
- Lise Solberg Nes
- Division of Medicine, Center for Shared Decision Making and Collaborative Care Research, Oslo University Hospital, Oslo, Norway, .,Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway, .,Department of Psychiatry and Psychology, College of Medicine and Science, Mayo Clinic, Rochester, Minnesota, USA,
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Verburg A, Selder JL, Schalij MJ, Schuuring MJ, Treskes RW. eHealth to improve patient outcome in rehabilitating myocardial infarction patients. Expert Rev Cardiovasc Ther 2019; 17:185-192. [PMID: 30732481 DOI: 10.1080/14779072.2019.1580570] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
INTRODUCTION Cardiac rehabilitation is aimed at risk factor modification and improving quality of life. eHealth has a couple of potential benefits to improve this aim. The primary purpose of this review is to summarize available literature for eHealth strategies that have been investigated in randomized controlled trials in post-myocardial infarction (MI) patients. The second purpose of this review is to investigate the clinical effectiveness in post-MI patients. Areas covered: The literature was searched using PubMed. Randomized controlled trials (RCTs) describing interventions in patients that had experienced an ST-elevation myocardial infarction or non-ST acute coronary syndrome were eligible for inclusion. Fifteen full-texts were included and their results are described in this review. These RCTs described interventions that used remote coaching or remote monitoring in post-MI patients. Most interventions resulted in an improved cardiovascular risk profile. Remote coaching had a positive effect on activity and dietary intake. Expert opinion: eHealth might be clinically beneficial in post-MI patients, particularly for risk estimation. Moreover, eHealth as a tool for remote coaching on activity is a good addition to traditional cardiac rehabilitation programs. Further research needs to corroborate these findings.
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Affiliation(s)
- Ashley Verburg
- a Department of Cardiology , Leiden University Medical Center , Leiden , The Netherlands
| | - Jasper L Selder
- b Department of Cardiology , Amsterdam UMC, location VU , Amsterdam , The Netherlands
| | - Martin J Schalij
- a Department of Cardiology , Leiden University Medical Center , Leiden , The Netherlands
| | - Mark J Schuuring
- c Department of Cardiology , Amsterdam UMC , Amsterdam , The Netherlands
| | - Roderick W Treskes
- a Department of Cardiology , Leiden University Medical Center , Leiden , The Netherlands
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