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. 2021 Jul 14;11(7):658. doi: 10.3390/jpm11070658

Table 3.

Summary of findings for the role of telemedicine in cardiovascular disease/risk management.

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.