Abstract
Introduction: Adverse effects on personalized care and outcomes of cardiovascular diseases (CVD) could occur if health systems do not work in an efficient manner. The pandemic caused by COVID-19 has opened new perspectives for the execution and advancement of cardiovascular tests through telemedicine platforms. Objective: This study aimed to analyze the usefulness of telemedical systems for providing personal care in the prevention of CVD. Methods: A systematic review analysis was conducted on the literature available from libraries such as PubMed (Medline), Scopus (Embase), and Cumulative Index to Nursing and Allied Health Literature (CINAHL). Data available in the last 10 years (2011–2020) were also examined by PRISMA guidelines. The selected studies were divided into two categories: (1) benefits of telemedicine in CVD prevention, and (2) recent progress in telemedical services for personalized care of CVD. Results: The literature search produced 587 documents, and 19 articles were considered in this review. Results highlighted that the timely delivery of preventive care for CVD which can be implemented virtually can benefit and modify morbidity and mortality. This could also reduce the pressure on hospitals by decreasing acute CVD occurrence among the general population. The use of these technologies can also help to reduce access to hospitals and other medical devices when not necessary. Conclusions: Telemedicine platforms can be used for regular checkups for CVD and contribute to preventing the occurrence of acute events and more in general the progression of CVD.
Keywords: telemedicine, cardiovascular diseases, telecardiology, personal care, remote consultation
1. Introduction
In recent years, there has been a growing interest in the development of precision medicine approaches in the prevention and treatment of several pathologies with the purpose to offer to patients “the right treatment, to the right patient, at the right time”. In cardiovascular medicine, the potential of precision medicine applies to all stages of disease development and includes risk prediction, preventative measures, and targeted therapeutic approaches [1]. Telehealth and telemedicine enable precision medicine by two routes following data review by a doctor. These include a direct (online) discussion between a patient and doctor regarding a therapy (e.g., change dosing, prescription renewal), as well as prescriptions to the patient for them to undergo more precise testing and assessment. In both cases, the online session may add information or data to the patient history.
Telehealth and telemedicine, if properly used, may offer advantages for both patients and health professionals [2]. As per the World Health Organization (WHO), telemedicine can be defined as “the delivery of medical services, where distance is a basic factor, by all medical care experts utilizing information and communication technologies (ICT) for the exchanging of adequate information for the treatment, diagnosis and avoidance of illness and wounds, exploration and assessment, and for the proceeding with instruction of medical care suppliers, in the purpose of strengthening individuals health and their networks” [3]. Telemedicine includes the protected transmission of clinical information and data, by voice, text, images, or other forms required for the diagnosis, treatment, and patient follow up.
Telemedicine enables phone or video consultations to the benefit of patients and of healthcare professionals [4]. Doctors can conduct patient visits through a computer or smartphone. These types of services are providing a great opportunity to expand medical assistance, especially in the face of novel pandemics such as COVID-19 [5]. This pandemic forced the adoption of telemedical technologies, for avoiding interruption in patient care. Recent technological advancements have made telemedicine more feasible, even for people without good computer knowledge. It has been discussed whether telehealth services can fully replace face-to-face visits. In some cases, telemedicine is potentially equivalent to in-person meetings for cardiovascular diseases (CVDs) [6,7].
CVDs are the primary cause of a high number of deaths all over the world [8]. Furthermore, 80% of deaths caused by CVDs are associated only with strokes and heart attacks. People with a high risk of CVD have raised glucose levels and blood pressure, as well as obesity and overweight [9]. These can all be effectively estimated in primary care centers. Access to fundamental noncommunicable disease medications and basic technologies in healthcare guarantees doctor advice and treatment. In these situations, telehealth services can provide a great advantage to provide personalized care for patients with a high risk of CVD.
The telemedicine field applied to CVD is defined as telecardiology [10]. Personal medications or treatment can be suggested over video or phone conversations with the pill dispenser at hand. Family members or friends (from different locations) can participate in these visits and understand expert suggestions for improving the health literacy of the entire family. On the other hand, patients can remain at home with comfort, which allows welcoming talks with more involvement in decision making about their cardiac health, e.g., monitoring of blood pressure by taking acute readings with home devices. Frequent telemedicine visits can allow doctors to encourage patients to perform BP checkups. Studies have shown that self-observation improves both BP estimations and medicine adherence [11,12]. Moreover, hypertension is also an ongoing illness that stands at risk of CVDs and benefits largely from successive telehealth visits.
In this study, we conducted a systematic review analysis to explore the importance of telemedicine services in the provision of personalized care for CVDs. Moreover, we reviewed telecardiology advancements in the last decade and how the world is adopting telemedicine support in daily cardiologic practice.
2. Methods
2.1. Data Source and Search Strategies
Initially, we collected the available literature from high-quality medical libraries such as PubMed (MEDLINE) and the Cumulative Index to Nursing and Allied Health Literature (CINAHL). The Scopus (EMBASE) database was used for sorting out non-appearance articles from the two medical libraries. Medical Subject Headings (MeSH) were applied to identify key terms of MEDLINE. Under the ‘cardiovascular diseases and ‘telemedicine’ key terms, we were able to identify 63 and 11 subheadings, respectively, with the help of the MeSH list. The search string with the Boolean operator as ‘telemedicine’ AND ‘cardiovascular diseases’ for PubMed was used. For CINAHL, we included similar MeSH terms to those used in MEDLINE and, for Scopus (EMBASE), Boolean operators such as ‘telemedicine’ OR ‘telehealth’ OR ‘telecardiology’ AND ‘adoption’ OR ‘implementation’ AND ‘personalized care’ OR ‘personal medication’ OR ‘personal care’ AND ‘cardiovascular diseases OR ‘CVD’ OR ‘cardiology’ were applied.
2.2. Inclusion and Exclusion Criteria
Articles on telemedicine or telehealth in providing personal care for patients with a high risk of CVDs were considered for this research. Articles from peer-reviewed journals, featuring descriptive work in English language with full text, implementing cross-sectional and mixed methods (including both quantitative and qualitative), with objectives of telemedicine in cardiovascular care, were included. Exclusion criteria were (a) conference works, (b) abstract-only articles, and (c) articles published before 2011. Studies with irrelevant data on telemedicine and that did not mention telecardiology involvement were excluded from the study.
2.3. Quality Criteria
Once the literature search was done, the four authors independently assessed every article in two phases. In the first phase, duplicated or similar papers extracted from the three databases were removed by reading abstracts. This analysis was conducted by the conventional approach of reading the article title and abstract. After applying inclusion and exclusion criteria, the quality evolution of each selected item was done on the basis of the Newcastle–Ottawa Scale (NOS) that ranged from 0–9 [13]. The NOS defined each study in three ways as poor (0–4), moderate (5–6), and good (7–9). These scores were based on some filters such as study selection, comparability, and outcome. Various quality parameters such as demonstration, coherence, risk factors, and others were also considered. The quality scores of selected articles calculated using the above parameters were recorded in an excel sheet to calculate whether a selected study was suitable for final consideration or not.
3. Results
The literature search between 2011 and 2020 resulted in 587 documents; 376 documents were excluded because of duplication during the initial screening, and this resulted in 211 papers (Figure 1). In the subsequent phase, by applying exclusion criteria, 162 papers were excluded and 49 were left for quality assessment and further analysis. These documents were equally distributed to each author to perform multiple screenings with the request to provide the quality scores of each work anonymously. Items that were not strictly in line with review objectives and/or did not achieve good quality scores were not further considered. Ultimately, 19 studies were included for a qualitative synthesis analysis, and the results of these works were summarized in tabular form.
3.1. Summary of the Main Findings
All 19 studies considered suitable for our analysis were conducted in developed nations. This suggests that telemedicine technologies in CVD prevention are more ready to be adopted in developed areas. Considering cost constraints in telemedicine implementation, governments or private bodies should provide financial support. A high number of studies (15/19, 78.94%) were funded by external organizations including public (11/15, 73.3%) and private bodies (4/15, 26.7%) (Refer Table 1).
Table 1.
Funding Source | Frequency (%) |
---|---|
Public bodies | 11 (57.89%) |
Private bodies | 4 (21.05%) |
No funding | 4 (21.05%) |
Most studies provided evidence on the efficiency and efficacy of telemedicine in the management of CVD risk factors such as obesity [15], vascular risk management [16], heartbeat connections [17], hypertension [18], and cardiac arrest [19]. Telemedicine also involved transmission of electrocardiograms [20], CVD intervention improvement [21], outpatient management [22], and cardiac rehabilitation [19]. Table 2 reports the studies involved in telemedicine for the personalized care of CVD patients. Main factors such as patient satisfaction [21,23,24], personal medication outcomes [15,22,25], self-management of CVDs [20,26], quality care [17,27,28,29], cost-effectiveness [30], and technical advancements [31,32,33] were also observed.
Table 2.
Telemedicine in Personalized CVD | Frequency (%) |
---|---|
Obesity control | 5 (26.31%) |
Transmission of electrocardiograms | 3 (15.78%) |
Outpatient management | 4 (21.05%) |
Control of cardiac arrest | 7 (36.84%) |
Hypertension control | 6 (31.57%) |
Cardiac rehabilitation | 4 (21.05%) |
3.2. Study Characteristics
Papers reviewed in this work are listed in Table 3. The main results of the papers evaluated are detailed below.
Table 3.
n | Name of Author (S) and Year | Number of Participants | Type of Study | Advantage | Outcome |
---|---|---|---|---|---|
1 | Walter V.D. et al., 2012 [30] | - | Cost analysis model | Measuring the impact of cost involvement in treatment, the incremental net benefit, and the quality-adjusted life years | 15% decrease in emergency room visits, as well as changes in utilization costs among bypass (−17%), rehabilitation (−13%), catheterization (−59%), medication (−14%), and angioplasty (−59%). |
2 | Reid R.D. et al., 2012 [33] | 223 | RCT | Monitoring physical activity for patients with ACS | More effective in monitoring physical activity for patients with ACS than for patients who received usual care |
3 | Gallagher B.D. et al., 2017 [46] | 40 | RCT | Medication adherence in a patient with heart failure | Improved medication adherence |
4 | Abraham W.T. et al., 2011 [40] | 550 | RCT | Monitoring pulmonary artery hemodynamic data for a patient with heart failure to reduce hospitalization | Significant reduction in hospitalization for patients with heart failure. |
5 | Vernooij J.W.P. et al., 2012 [16] | 330 | RCT | Promoting self-management in reducing vascular risk factors | Effective in reducing vascular risk and risk factors for patients with vascular diseases |
6 | Chen et al., 2019 [44] | 767 | RCT | Reducing readmission and improving self-care of patients with chronic heart failure (CHF) | Improved self-care behavior and reduced days lost in readmission |
7 | Appel L.J. et al., 2011 [45] | 415 | RCT | Weight reduction intervention in obese participants. | Significant weight loss recorded by telemedicine compared to in-person coaching over 24 months. |
8 | Boyne J.J. et al., 2012 [47] | 870 | RCT | Monitoring to identify the early symptoms of patients with heart failure to reduce the readmission of rehospitalization | No significant result was found in reducing the rehospitalization |
9 | Marino M.M. et al., 2020 [49] | 430 | Cross-sectional | For screening and early detection programs in the prevention of CVD | Effective in screening, early detection, and cost reduction. |
10 | Dendale P. et al., 2012 [50] | 160 | RCT | Monitoring and following up patients with heart failure to reduce rehospitalization and mortality rate | Effective in collaboration with doctors to reduce death rate and several days lost due to hospitalization |
11 | Koehler F. et al., 2018 [48] | 1571 | RCT | Detecting early signs and symptoms of a patient with heart failure | Effective in detecting early signs and symptoms, as well as reducing days of unplanned readmission and causes of death |
12 | Benson G.A. et al., 2018 [17] | 1028 | Retrospective cohort study | For the intervention of main CV risk factors (dyslipidemia and hypertension) | Significant improvement in the prevention of dyslipidemia and hypertension (CV risk factors) among patients at high risk for developing CVD |
13 | Widmer R.J. et al., 2017 [19] | 64 | RCT | Cardiac rehabilitation and rehospitalization of patients after PCI for ACS | Significantly reduced CV-related emergency department visits and rehospitalization in patients after ACS |
14 | Heron N. et al., 2019 [41] | 40 | RCT | Improving home-based prevention program of patients with a transient ischemic attack | Improved secondary prevention after a transient ischemic attack |
15 | Bosworth H.B. et al., 2018 [18] | 429 | RCT | For self-management of patients with CV risk factors | Effective in the intervention of CV risk factors and self-management of patients with CVD |
16 | Joubert J. et al., 2014 [27] | 91 | Cross-sectional | Screening CV risk factorsat the community level | Effective in screening CV risk and sending data from a remote area |
17 | Brunetti N.D. et al., 2015 [20] | 3213 | Follow-up | Prehospital electrocardiogram screening and remote teleconsultations | Effective in detecting acute CVD via ECG |
18 | Wienert J. et al., 2019 [26] | 310 | RCT | For the intervention of health behavior related to CV risk | Effective in promoting a healthy lifestyle to reduce CV risk |
19 | Genevieve C. et al., 2020 [23] | 934 | RCT | Involving digital health with the integration of personal data of primary care | The study highlighted that EHR-integrated eHealth interventions have better potential to help the cognitive, affective, and behavioral characteristics of changing health behavior. |
3.2.1. Telemedicine in CVD Treatment
Because of telemedicine platforms, medical services in CVD prevention are largely effective with regular checkups and counseling to strengthen prevention ideas. The advantages include less patient exposure and staff, use of the entire cardiovascular care team, improved opportunities for patient-provider information, and reduced specialist shortages.
Reduced Patient Exposure and Staff
It is estimated that telemedicine programs, largely involving patient monitoring by virtual communication and control of emergency room visits, reduce costs of healthcare by about 15% [30]. Currently, because of the global pandemic caused by COVID-19, patients with heart diseases or coronary failure are becoming a high-risk potential group for deaths. However, lockdown presents a solution for rapid viral spreading by minimizing regular hospital visits and direct medical assessment. In this scenario, telemedicine strategies can ensure constant care for patients with heart failure [34]. Virtual visits by remote monitoring features an audiovisual telemedicine communication system that can be helpful for communication between specialists and patients via online portals [34,35,36]. Telemedical systems can contribute to monitoring major symptoms, facilitating the provision of medical data to doctors.
Opportunities for Patient-Provider Information
Some medical hospitals launched telemedicine via 4G tablets to provide chronic care including CVD and chronic heart failure. Patients are equipped with Bluetooth biometric devices (e.g., pulse oximeter) to measure blood pressure, oxygen levels, weight, and temperature [37]. These devices automatically record and transmit data that can be used for improved home care monitoring. Remote monitoring of implanted devices is usually associated with the transmission of recorded data via an external transmitter to the provided database. The patient data are transmitted daily. This can improve the clinical outcomes [38], enhance patient satisfaction [39], and save patient data.
Internet-Based Physical Activities for Cardiovascular Care and Cardiac Rehabilitation
The recovery from acute coronary syndrome is largely associated with cardiovascular exercises. Provision of personal care to control risk is quite expensive. The Cardio Fit internet-based physical activity expert system was found to improve both objectively measured physical activity and quality of life in patients with coronary heart diseases (CHD). Physical activity levels were measured through a pedometer for all randomized subjects for 6 to 12 months [33]. These telemedicine systems are largely beneficial and easy to use for heart failure, and to the use of wireless devices can reduce doctor visits [33]. Some studies determined whether a program with wireless implantable hemodynamic monitoring systems (W-IHM) reduced rates of hospitalization in patients with heart failure over 6 months follow-up [40]. The primary endpoint was met, and the heart-related hospitalization rate was reduced by 37% in the treatment group. It has been proven that the internet can be effectively incorporated in successive management in measure of pulmonary artery pressure, leading to better care among control groups [16].
Telemedicine had a positive impact on the lifestyle habits of veterans [18]. In this respect, telemedicine application in cardiac rehabilitation could positively impact improper access to the emergency room by chronic patients such as patients with CVD, as well as improve their self-care behavior. Two studies emphasized the potential of telemedicine in controlling CVD risk factors through electrocardiograms [20,27]. Widmer et al. [19] investigated whether a digital health intervention (DHI) application during cardiac rehabilitation would reduce cardiovascular-related emergency visits and rehospitalization in patients after percutaneous coronary intervention (PCI) and acute coronary syndrome (ACS). Digital health-based cardiac rehabilitation programs significantly reduced cardiovascular-related emergency department visits and unnecessary rehospitalization [41]. To advance the steady advantage of eHealth interventions for patient behavior, information on major contextual narratives should help with improving adequacy, thereby stimulating further studies on communications in comparable intercessions. Some studies [23,26] presented these issues in a personalized medicine context and highlighted the necessity of e-health interventions in exploring the prevention of cardiovascular diseases among latent user groups.
Reduction in Specialist Shortages and Improvement of CVD Care Efficiency
Incorporating telemedicine technologies into remote healthcare systems can compensate for the scarcity of cardiologists, heart specialists, subspecialists, and cardiac surgeons. Telehealth systems in cardiac care can improve access and doctor workforce strategies [42]. This leads to better communication with patients, increases practice efficiency, enhances quality care, and addresses projected shortages in the medical workforce. An increase in the use of telemedicine is expected to impact healthcare access quality, care costs, and education. Telemedicine technologies applied to home care have the potential to impact to present cardiac care models and explore the communication among experts, leading to have high-quality, more efficient, and less expensive care [42,43]. These models can function as a platform to provide primary care and management of critical care patients in a sophisticated manner [39]. On the other hand, telemedicine technologies enable cardiac specialists working in remote areas with continuous medical education to improve their ability to care. This reduces the patient’s travel to the care center, along with family and friends.
3.2.2. Telemedicine in CVD Prevention
Obesity is one of the risk factors for the prevalence of cardiovascular diseases. The effectiveness of telemedicine technologies in obesity intervention for patients diagnosed as overweight or obese has to be majorly studied. Phone-based intervention also improved all causes of hospitalization or mortality as the composed endpoint of patients. An RCT on 767 patients (mean age = 61 ± 15 years) was carried out to assess whether short message service (SMS) could help improve readmission and self-care behavior (medication compliance, weight monitoring, salt and water restriction, and exercise) of patients with chronic heart failure [44]. The study subjects were followed up until 180 days through telephone or clinical visits after discharge. It was reported that weight loss interventions through telemedicine can improve readmission, self-care behavior, and quality of life [45]. A significant weight loss was recorded by telemedicine compared to in-person coaching over 2 years.
Coronary heart failure is a major risk factor for CVD. A randomized controlled trial (RCT) among 223 patients (mean age = 56.4 ± 9.0) with CHD assigned into two groups, Cardio Fit (n = 115, mean age = 56.7 ± 9.0) and usual care (n = 108, mean age = 56.0 ± 9.0), was carried out to assess the effects of online coaching on physical activity intervention for CHD patients by comparing usual care over 1 year [33]. The Cardio Fit group received a personally tailored physical activity regimen and access to a secure website for activity planning and tracking. Online training was also given to the Cardio Fit group, and they were in email contact with an exercise specialist. In contrast, the usual care group received physical activity guidance from their cardiologist. The authors found that at the two time points (every 6 months), the Cardio Fit group took an average of 764 (12% absolute difference) more steps per day than the usual care group. Furthermore, it was shown that patients with heart failure can be discharged from the hospital to evaluate medication adherence via telephone [46].
Telemonitoring reduces the readmission of patients with heart failure and significantly decreases contact with specialized nurses on this matter [47]. Some studies highlighted that telemedicine and telemonitoring applications have the potential to transmit diagnostic images, data, or reports, virtually connecting the patients and health professional in the screening of CVD; telemedicine via telephone communication is particularly useful in the early detection of CVDs, thus reducing costs [27,28,29]. The study by Koehler et al. [48] randomized 1571 patients with heart failure to assess the effect of remote patient management intervention on unplanned cardiovascular admission and mortality. The authors randomly assigned the patients into two groups to receive remote patient management (n = 796) or usual care (n = 775). The percentage of days lost due to unplanned cardiovascular hospital admission or death from all causes was significantly reduced in patients allocated to remote patient management (ratio: 0.80; 95% CI: 0.60–1.00, p-value = 0.0460) when compared to usual care [17]. In this regard, supporting telemedicine interventions in patients with heart failure can reduce unplanned cardiovascular hospitalizations and all causes of mortality.
4. Discussion
The use of telemedicine as a support to cardiology was introduced more than 100 years ago in Australia with the use of the telegraph from Barrow Creek Telegraph Station. In 1905, Einthoven transmitted electrocardiographs using the telephone line. A further evolution of this experience dated in 1910 with tele-auscultation transmitted through the telephone lines. In 1935, the first tele-electrocardiographic service was established in Lviv in the Ukraine. In 1938, the International Radio Medical Center (C.I.R.M.) in Rome received by radiotelegraphy an electrocardiogram from a passenger ship. In the last 10 years of the last century and at the beginning of this century, telemedicine started to move from the experimental phase to large-scale experiences, and its practical applications related to cardiology are entering in the standards of medical practice.
In this systematic review, we attempted to understand the positive effects of telemedicine and telehealth technologies on controlling cardiovascular diseases. The assessment of articles incorporated in this study explained that each article obeyed the NOS quality checklist and scored at least 7 (NOS ≥ 7), indicating scientific rigorousness of the study selection. In addition to highlighting the telemedicine effectiveness in CVD management, this work described the recent advancements in the last decade. Through this work, the key aspects of telemedicine in terms of evaluation of its role in the perspective of CVD personal care were identified. We found 19 quality research studies from Australia, China, France, Italy, Netherlands, and the United States, among others.
During serious pandemics such as COVID-19, a huge decrease in hospitalization and expanded self-administration by patients embodies the financial discernment of telemedicine since it can decrease patient flow to hospitals. Telemedicine has provided a chance to see remote patients, which has helped doctors in checking and monitoring conditions that the patient or their close family can easily follow. Those patients infected with COVID-19 are commonly associated with hypertension, CVD, and diabetes. In this pandemic, there have been other situations raising concern for the personal safety of patients who are at high risk for CVD. In such cases, the adoption of cardiac rehabilitation techniques is mandatory, including cardiac rehab in a home, which can guarantee the continuity of these mandatory services [22].
The effect of technological advancements on financial issues in healthcare has exceptionally exposed the divergence between the innovation cost and the change (either increase or decrease) in medical resource utilization because of the clinical impact of this technology. For instance, current telemedical technologies can provide personal care to cardiac arrest patients, certainly amplifying the treatment costs in long-term care for stroke survivors. The difference in quality and cost gained has been highly influenced by the cost-effectiveness of telehealth technologies in the prevention of cardiovascular diseases. We identified two studies that mentioned the development of telemedicine tools, namely, the consumer navigation of electronic cardiovascular tools (CONNECT) [31] and a novel system based on mobile internet, cloud computing in management of hypertension, and experts in the monitoring of physical activity among heart disease patients [33]. These tools need to be enhanced to function for long-term care, and a time framework should be designed to estimate the quality of care of CVD risk patients.
However, most of the available literature associated with clinical trials and pilot projects provided short-term results. A few were associated with long-term usage of telemedicine in CVD care [36,38,39,40]. Some clinical trials reported the efficacy of telemedicine rather than effectiveness [16,18,19,21,29]. One study presented a community-based survey of CVD risk factors to evaluate the potentiality of telemedicine [27], and another study reported follow-up data of CVD patient health status or clinical outcomes who participated in telecardiology services [20]. Other reports on telemedicine involvement in CVD care produced a strong assumption regarding the possible benefit to health status monitoring although the availability of limited patient administrative data.
According to the literature, telemedicine has the benefit of saving time and providing personal care for the patient. Physicians have to consider the shortcomings of these technologies, whereas telemedicine could be expensive for hospitals or small healthcare centers to provide. Simultaneously, if the patient prefers direct visits to a doctor, telemedicine is not an ideal solution. Therefore, the doctor has to maintain bonding with a patient to make them comfortable with the new technologies. We also have to consider the fact that no service is perfect, and telemedicine is no exception. Studies have continuously proven that telemedicine can save money, time, and lives.
The present systematic review had some limitations. Search parameters such as full text in the English language, the limited time frame (2011–2020), and the use of three databases with fixed keywords reduced the quantity of the study materials. Therefore, some relevant or original studies from all developed countries might have been missed in this work. Second, as with most systematic reviews, there was a quality bias of selected articles. The involvement of a limited number of people (four authors) could have influenced the comprehensiveness of this work, whereas adopting quality criteria during paper screening could have hampered the conclusions.
5. Conclusions
The overall findings of this work highlight the importance of telemedicine and telehealth technologies in the management of personal care among CVD patients. Moreover, they provide evidence of the benefits to cardiovascular care when using telemedicine in developed nations. Many studies are available on telemedicine applications, but sophisticated qualified studies are still very few, and the generalization of most evaluation outcomes is rather limited. However, one positive finding is that the world is now understanding the importance of these technologies because of significant challenges introduced by COVID-19. There has at least been a start in some developing countries, with public bodies ready to improve the economic situation through the adoption of telemedicine. We strongly suggest future developments for the provision of medical services through telemedicine, along with necessary training for both patients and providers, thus resulting in better healthcare and enhanced patient satisfaction.
Author Contributions
G.B., study planning, design and data collection, methods, paper review, and manuscript preparation; G.G.S. and N.C., study selection and research background; F.A., study approval and final manuscript revision. All authors have read and agreed to the published version of the manuscript.
Funding
This study did not receive any funding from any external sources. The institutional funding provided by the University of Camerino supports the doctoral studies of G.B., G.G.S., and N.C.
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
Not applicable.
Conflicts of Interest
The authors declare no conflict of interest.
Footnotes
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.
References
- 1.Currie G., Delles C. Advances in Experimental Medicine and Biology. Volume 1065. Springer New York LLC; New York, NY, USA: 2018. Precision medicine and personalized medicine in cardiovascular disease; pp. 589–605. [DOI] [PubMed] [Google Scholar]
- 2.Sagaro G.G., Battineni G., Amenta F. Barriers to Sustainable Telemedicine Implementation in Ethiopia: A Systematic Review. Telemed. Rep. 2020;1:8–15. doi: 10.1089/tmr.2020.0002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.World Health Organization A Health Telematics Policy in support of WHO´s Health-for-All Strategy for Global Health Development; Proceedings of the WHO Group Consultation on Health Telematics; Geneva, Switzerland. 1–16 December 1997. [Google Scholar]
- 4.Nittari G., Khuman R., Baldoni S., Pallotta G., Battineni G., Sirignano A., Amenta F., Ricci G. Telemedicine Practice: Review of the Current Ethical and Legal Challenges. Telemed. e-Health. 2020;26:1426–1427. doi: 10.1089/tmj.2019.0158. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Sagaro G.G., Battineni G., Chintalapudi N., Di Canio M., Amenta F. Telemedical assistance at sea in the time of COVID-19 pandemic. Int. Marit. Health. 2020;71:229–236. doi: 10.5603/IMH.2020.0041. [DOI] [PubMed] [Google Scholar]
- 6.Brunetti N.D., Scalvini S., Acquistapace F., Parati G., Volterrani M., Fedele F., Molinari G. Telemedicine for cardiovascular disease continuum: A position paper from the Italian society of cardiology working group on telecardiology and informatics. Int. J. Cardiol. 2015 doi: 10.1016/j.ijcard.2015.02.023. [DOI] [PubMed] [Google Scholar]
- 7.Do A.W., Hurst R.T., Gulati M. Maintaining Cardiovascular Health While Practicing Social Distancing: Can Telemedicine Bridge the Gap? Am. J. Prev. Cardiol. 2020 doi: 10.1016/j.ajpc.2020.100066. [DOI] [Google Scholar]
- 8.World Health Organization Cardiovascular Diseases (CVDs) Factsheet. [(accessed on 23 May 2021)]; Available online: http://www.who.int/mediacentre/factsheets/fs317/en/index.html.
- 9.Sagaro G.G., Battineni G., Di Canio M., Amenta F. Self-Reported Modifiable Risk Factors of Cardiovascular Disease among Seafarers: A Cross-Sectional Study of Prevalence and Clustering. J. Pers. Med. 2021;11:512. doi: 10.3390/jpm11060512. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Molinari G., Molinari M., Di Biase M., Brunetti N.D. Telecardiology and its settings of application: An update. J. Telemed. Telecare. 2018 doi: 10.1177/1357633X16689432. [DOI] [PubMed] [Google Scholar]
- 11.Bliziotis I.A., Destounis A., Stergiou G.S. Home versus ambulatory and office blood pressure in predicting target organ damage in hypertension: A systematic review and meta-analysis. J. Hypertens. 2012 doi: 10.1097/HJH.0b013e3283531eaf. [DOI] [PubMed] [Google Scholar]
- 12.Fletcher B.R., Hartmann-Boyce J., Hinton L., Mcmanus R.J. The effect of self-monitoring of blood pressure on medication adherence and lifestyle factors: A systematic review and meta-analysis. Am. J. Hypertens. 2015 doi: 10.1093/ajh/hpv008. [DOI] [PubMed] [Google Scholar]
- 13.Lo C.K.L., Mertz D., Loeb M. Newcastle-Ottawa Scale: Comparing reviewers’ to authors’ assessments. BMC Med. Res. Methodol. 2014 doi: 10.1186/1471-2288-14-45. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Tricco A.C., Lillie E., Zarin W., O’Brien K.K., Colquhoun H., Levac D., Moher D., Peters M.D.J., Horsley T., Weeks L., et al. PRISMA extension for scoping reviews (PRISMA-ScR): Checklist and explanation. Ann. Intern. Med. 2018 doi: 10.7326/M18-0850. [DOI] [PubMed] [Google Scholar]
- 15.Batsis J.A., Pletcher S.N., Stahl J.E. Telemedicine and primary care obesity management in rural areas - innovative approach for older adults? BMC Geriatr. 2017;17:6. doi: 10.1186/s12877-016-0396-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Vernooij W.P., Kaasjager H.A.H., Van Der Graaf Y., Wierdsma J., Grandjean H.M.H., Hovens M.M.C., De Wit G.A., Visseren F.L.J. Internet based vascular risk factor management for patients with clinically manifest vascular disease: Randomised controlled trial. BMJ. 2012 doi: 10.1136/bmj.e3750. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Benson G.A., Sidebottom A., Sillah A., Boucher J.L., Miedema M.D., Knickelbine T., VanWormer J.J. Reach and effectiveness of the HeartBeat Connections telemedicine pilot program. J. Telemed. Telecare. 2018 doi: 10.1177/1357633X17692723. [DOI] [PubMed] [Google Scholar]
- 18.Bosworth H.B., Olsen M.K., McCant F., Stechuchak K.M., Danus S., Crowley M.J., Goldstein K.M., Zullig L.L., Oddone E.Z. Telemedicine cardiovascular risk reduction in veterans: The CITIES trial. Am. Heart J. 2018 doi: 10.1016/j.ahj.2018.02.002. [DOI] [PubMed] [Google Scholar]
- 19.Widmer R.J., Allison T.G., Lennon R., Lopez-Jimenez F., Lerman L.O., Lerman A. Digital health intervention during cardiac rehabilitation: A randomized controlled trial. Am. Heart J. 2017 doi: 10.1016/j.ahj.2017.02.016. [DOI] [PubMed] [Google Scholar]
- 20.Brunetti N.D., Dellegrottaglie G., De Gennaro L., Di Biase M. Telemedicine pre-hospital electrocardiogram for acute cardiovascular disease management in detainees: An update. Eur. Res. Telemed. 2015 doi: 10.1016/j.eurtel.2015.02.002. [DOI] [PubMed] [Google Scholar]
- 21.Zullig L.L., Oakes M.M., McCant F., Bosworth H.B. Lessons learned from two randomized controlled trials: CITIES and STOP-DKD. Contemp. Clin. Trials Commun. 2020 doi: 10.1016/j.conctc.2020.100612. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Khera A., Baum S.J., Gluckman T.J., Gulati M., Martin S.S., Michos E.D., Navar A.M., Taub P.R., Toth P.P., Virani S.S., et al. Continuity of care and outpatient management for patients with and at high risk for cardiovascular disease during the COVID-19 pandemic: A scientific statement from the American Society for Preventive Cardiology. Am. J. Prev. Cardiol. 2020 doi: 10.1016/j.ajpc.2020.100009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Coorey G., Peiris D., Neubeck L., Redfern J. A realist evaluation approach to explaining the role of context in the impact of a complex eHealth intervention for improving prevention of cardiovascular disease. BMC Health Serv. Res. 2020 doi: 10.1186/s12913-020-05597-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Broekhuizen K., Van Poppel M.N., Koppes L.L., Brug J., Van Mechelen W. A tailored lifestyle intervention to reduce the cardiovascular disease risk of individuals with Familial Hypercholesterolemia (FH): Design of the PRO-FIT randomised controlled trial. BMC Public Health. 2010 doi: 10.1186/1471-2458-10-69. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Broers E.R., Gavidia G., Wetzels M., Ribas V., Ayoola I., Piera-Jimenez J., Widdershoven J.W.M.G., Habibović M. Usefulness of a Lifestyle Intervention in Patients With Cardiovascular Disease. Am. J. Cardiol. 2020 doi: 10.1016/j.amjcard.2019.10.041. [DOI] [PubMed] [Google Scholar]
- 26.Wienert J., Kuhlmann T., Storm V., Reinwand D., Lippke S. Latent user groups of an eHealth physical activity behaviour change intervention for people interested in reducing their cardiovascular risk. Res. Sport. Med. 2019 doi: 10.1080/15438627.2018.1502181. [DOI] [PubMed] [Google Scholar]
- 27.Joubert J., Nkomazana O., Mompati K., Joubert L., Preux P.M., La Croix P., Laing J., Korn S., Mbogwe B., Tsima B., et al. A community survey of cardiovascular risk factors in an urban population in Botswana exploring potential for telemedicine. Eur. Res. Telemed. 2014 doi: 10.1016/j.eurtel.2014.07.001. [DOI] [Google Scholar]
- 28.Agarwal A.K., Gaieski D.F., Perman S.M., Leary M., Delfin G., Abella B.S., Carr B.G. Telemedicine REsuscitation and Arrest Trial (TREAT): A feasibility study of real-time provider-to-provider telemedicine for the care of critically ill patients. Heliyon. 2016 doi: 10.1016/j.heliyon.2016.e00099. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Coley N., Rosenberg A., van Middelaar T., Soulier A., Barbera M., Guillemont J., Steensma J., Igier V., Eskelinen M., Soininen H., et al. Older Adults’ Reasons for Participating in an eHealth Prevention Trial: A Cross-Country, Mixed-Methods Comparison. J. Am. Med. Dir. Assoc. 2019 doi: 10.1016/j.jamda.2018.10.019. [DOI] [PubMed] [Google Scholar]
- 30.Van Dyck W., Vértes G., Palaniappan M., Gassull D., Jain P., Schulthess D., Tambuyzer E., Hudson R., Moran N. Acute coronary syndrome: What is the cost-effectiveness of prevention, point-of-care technology and telemonitoring? Health Policy Technol. 2012 doi: 10.1016/j.hlpt.2012.07.002. [DOI] [Google Scholar]
- 31.Neubeck L., Coorey G., Peiris D., Mulley J., Heeley E., Hersch F., Redfern J. Development of an integrated e-health tool for people with, or at high risk of, cardiovascular disease: The Consumer Navigation of Electronic Cardiovascular Tools (CONNECT) web application. Int. J. Med. Inform. 2016 doi: 10.1016/j.ijmedinf.2016.01.009. [DOI] [PubMed] [Google Scholar]
- 32.Zhou R., Cao Y., Zhao R., Zhou Q., Shen J., Zhou Q., Zhang H. A novel cloud based auxiliary medical system for hypertension management. Appl. Comput. Informatics. 2019 doi: 10.1016/j.aci.2017.10.002. [DOI] [Google Scholar]
- 33.Reid R.D., Morrin L.I., Beaton L.J., Papadakis S., Kocourek J., McDonnell L., D’Angelo M.E.S., Tulloch H., Suskin N., Unsworth K., et al. Randomized trial of an internet-based computer-tailored expert system for physical activity in patients with heart disease. Eur. J. Prev. Cardiol. 2012 doi: 10.1177/1741826711422988. [DOI] [PubMed] [Google Scholar]
- 34.Tersalvi G., Winterton D., Cioffi G.M., Ghidini S., Roberto M., Biasco L., Pedrazzini G., Dauw J., Ameri P., Vicenzi M. Telemedicine in Heart Failure During COVID-19: A Step Into the Future. Front. Cardiovasc. Med. 2020;7:612818. doi: 10.3389/fcvm.2020.612818. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Battineni G., Pallotta G., Nittari G., Amenta F. Telemedicine framework to mitigate the impact of the COVID-19 pandemic. J. Taibah Univ. Med. Sci. 2021 doi: 10.1016/j.jtumed.2020.12.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.DeFilippis E.M., Reza N., Donald E., Givertz M.M., Lindenfeld J.A., Jessup M. Considerations for Heart Failure Care During the COVID-19 Pandemic. JACC Hear. Fail. 2020;8:681–691. doi: 10.1016/j.jchf.2020.05.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Battineni G., Nittari G., Sirignano A., Amenta F. Are telemedicine systems effective healthcare solutions during the COVID-19 pandemic? J. Taibah. Univ. Med. Sci. 2021;16:305–306. doi: 10.1016/j.jtumed.2021.02.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Santamore W.P., Homko C.J., Kashem A., McConnell T.R., Bove A.A. Using a telemedicine system to decrease cardiovascular disease risk in an underserved population: Design, use, and interim results; Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology; Loyn, France. 23–26 August 2007; pp. 3701–3704. [DOI] [PubMed] [Google Scholar]
- 39.Flodgren G., Rachas A., Farmer A.J., Inzitari M., Shepperd S. Interactive telemedicine: Effects on professional practice and health care outcomes. Cochrane Database Syst. Rev. 2015;2015 doi: 10.1002/14651858.CD002098.pub2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Abraham W.T., Adamson P.B., Bourge R.C., Aaron M.F., Costanzo M.R., Stevenson L.W., Strickland W., Neelagaru S., Raval N., Krueger S., et al. Wireless pulmonary artery haemodynamic monitoring in chronic heart failure: A randomised controlled trial. Lancet. 2011;377:658–666. doi: 10.1016/S0140-6736(11)60101-3. [DOI] [PubMed] [Google Scholar]
- 41.Heron N., Kee F., Mant J., Cupples M.E., Donnelly M. Rehabilitation of patients after transient ischaemic attack or minor stroke: Pilot feasibility randomised trial of a home-based prevention programme. Br. J. Gen. Pract. 2019;69:E706–E714. doi: 10.3399/bjgp19X705509. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Fogliardi R., Frumento E., Rincón D., Viñas M.Á., Fregonara M. Telecardiology: Results and perspectives of an operative experience. J. Telemed. Telecare. 2000;6 doi: 10.1258/1357633001934537. [DOI] [PubMed] [Google Scholar]
- 43.Kendzerska T., Zhu D.T., Gershon A.S., Edwards J.D., Peixoto C., Robillard R., Kendall C.E. The effects of the health system response to the COVID-19 pandemic on chronic disease management: A narrative review. Risk Manag. Healthc. Policy. 2021;14:575–584. doi: 10.2147/RMHP.S293471. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Chen C., Li X., Sun L., Cao S., Kang Y., Hong L., Liang Y., You G., Zhang Q. Post-discharge short message service improves short-term clinical outcome and self-care behaviour in chronic heart failure. ESC Hear. Fail. 2019;6:164–173. doi: 10.1002/ehf2.12380. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Appel L.J., Clark J.M., Yeh H.C., Wang N.Y., Coughlin J.W., Daumit G., Miller E.R., 3rd, Dalcin A., Jerome G.J., Geller S., et al. Comparative effectiveness of weight-loss interventions in clinical practice. N. Engl. J. Med. 2011;365:1959–1968. doi: 10.1056/NEJMoa1108660. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Christopher A.M.L.S. Telemonitoring Adherence to Medications in Heart Failure Patients (TEAM-HF): A Pilot Randomized Clinical Trial. Physiol. Behav. 2016;176:100–106. doi: 10.1016/j.cardfail.2016.11.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Boyne J.J.J., Vrijhoef H.J.M., Crijns H.J.G.M., De Weerd G., Kragten J., Gorgels A.P.M. Tailored telemonitoring in patients with heart failure: Results of a multicentre randomized controlled trial. Eur. J. Heart Fail. 2012;14:791–801. doi: 10.1093/eurjhf/hfs058. [DOI] [PubMed] [Google Scholar]
- 48.Koehler F., Koehler K., Deckwart O., Prescher S., Wegscheider K., Kirwan B.A., Winkler S., Vettorazzi E., Bruch L., Oeff M., et al. Efficacy of telemedical interventional management in patients with heart failure (TIM-HF2): A randomised, controlled, parallel-group, unmasked trial. Lancet. 2018;392:1047–1057. doi: 10.1016/S0140-6736(18)31880-4. [DOI] [PubMed] [Google Scholar]
- 49.Marino M.M., Rienzo M., Serra N., Marino N., Ricciotti R., Mazzariello L., Leonetti C.A., Ceraldi M.P., Casamassimi A., Capocelli F., et al. Mobile Screening Units for the Early Detection of Breast Cancer and Cardiovascular Disease: A Pilot Telemedicine Study in Southern Italy. Telemed. e-Health. 2020;26:286–293. doi: 10.1089/tmj.2018.0328. [DOI] [PubMed] [Google Scholar]
- 50.Dendale P., De Keulenaer G., Troisfontaines P., Weytjens C., Mullens W., Elegeert I., Ector B., Houbrechts M., Willekens K., Hansen D. Effect of a telemonitoring-facilitated collaboration between general practitioner and heart failure clinic on mortality and rehospitalization rates in severe heart failure: The TEMA-HF 1 (telemonitoring in the management of heart failure) study. Eur. J. Heart Fail. 2012;14:333–340. doi: 10.1093/eurjhf/hfr144. [DOI] [PubMed] [Google Scholar]
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Data Availability Statement
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