Effectiveness of mHealth Interventions in the Control of Lifestyle and Cardiovascular Risk Factors in Patients After a Coronary Event: Systematic Review and Meta-analysis
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R. Vázquez-García | M. J. Santi-Cano | María Ángeles Bernal-Jiménez | C. Cruz-Cobo | Celia Cruz-Cobo
[1] J. Su,et al. Effects of a nurse-led eHealth cardiac rehabilitation programme on health outcomes of patients with coronary heart disease: A randomised controlled trial. , 2021, International journal of nursing studies.
[2] D. Lane,et al. Mobile Apps to Improve Medication Adherence in Cardiovascular Disease: Systematic Review and Meta-analysis , 2021, Journal of medical Internet research.
[3] Yue-Cune Chang,et al. Effectiveness of Theory‐Based Health Information Technology Interventions on Coronary Artery Disease Self‐Management Behavior: A Clinical Randomized Waitlist‐Controlled Trial , 2021, Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing.
[4] N. Lovell,et al. Trials and Tribulations: mHealth Clinical Trials in the COVID-19 Pandemic , 2021, Yearbook of Medical Informatics.
[5] E. Mayo-Wilson,et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews , 2021, BMJ.
[6] Guihua Xu,et al. The efficacy of mobile health in alleviating risk factors related to the occurrence and development of coronary heart disease: A systematic review and meta‐analysis , 2021, Clinical cardiology.
[7] U. Ralapanawa,et al. Epidemiology and the Magnitude of Coronary Artery Disease and Acute Coronary Syndrome: A Narrative Review , 2021, Journal of epidemiology and global health.
[8] S. Sardy,et al. Effects of the Interactive Web-Based Video “Mon Coeur, Mon BASIC” on Drug Adherence of Patients With Myocardial Infarction: Randomized Controlled Trial , 2020, Journal of medical Internet research.
[9] T. Gorely,et al. Digital Technology Interventions for Risk Factor Modification in Patients With Cardiovascular Disease: Systematic Review and Meta-analysis , 2020, JMIR mHealth and uHealth.
[10] Sei J. Lee,et al. Mobile Health Intervention Promoting Physical Activity in Adults Post Cardiac Rehabilitation: Pilot Randomized Controlled Trial , 2020, JMIR formative research.
[11] M. Correa-Rodríguez,et al. Quality of Life After Coronary Artery Bypass Surgery: A Systematic Review and Meta-Analysis , 2020, International journal of environmental research and public health.
[12] A. Keech,et al. Efficacy and safety of lowering LDL cholesterol in older patients: a systematic review and meta-analysis of randomised controlled trials , 2020, The Lancet.
[13] C. Reid,et al. SMARTphone-based, early cardiac REHABilitation in patients with acute coronary syndromes: a randomized controlled trial , 2020, Coronary artery disease.
[14] J. Siller-Matula,et al. Medication adherence and its determinants in patients after myocardial infarction , 2020, Scientific Reports.
[15] Jason H. Y. Wu,et al. Association between prediabetes and risk of all cause mortality and cardiovascular disease: updated meta-analysis , 2020, BMJ.
[16] Xi Li,et al. Smartphone-based application to improve medication adherence in patients after surgical coronary revascularization. , 2020, American heart journal.
[17] R. Clark,et al. Optimising Secondary Prevention and Cardiac Rehabilitation for Atherosclerotic Cardiovascular Disease During the COVID-19 Pandemic: A Position Statement From the Cardiac Society of Australia and New Zealand (CSANZ) , 2020, Heart, Lung and Circulation.
[18] D. Atsma,et al. Effect of Smartphone-Enabled Health Monitoring Devices vs Regular Follow-up on Blood Pressure Control Among Patients After Myocardial Infarction , 2020, JAMA network open.
[19] M. Brauer,et al. Modifiable risk factors, cardiovascular disease, and mortality in 155 722 individuals from 21 high-income, middle-income, and low-income countries (PURE): a prospective cohort study , 2020, The Lancet.
[20] A. Bergland,et al. Long-term follow-up with a smartphone application improves exercise capacity post cardiac rehabilitation: A randomized controlled trial , 2020, European journal of preventive cardiology.
[21] Francesca N. Delling,et al. Heart Disease and Stroke Statistics—2020 Update: A Report From the American Heart Association , 2020, Circulation.
[22] L. Tao,et al. Effect of Smartphone-Based Telemonitored Exercise Rehabilitation among Patients with Coronary Heart Disease , 2019, Journal of Cardiovascular Translational Research.
[23] J. A. Snoek,et al. The sustained effects of extending cardiac rehabilitation with a six-month telemonitoring and telecoaching programme on fitness, quality of life, cardiovascular risk factors and care utilisation in CAD patients: The TeleCaRe study , 2019, Journal of telemedicine and telecare.
[24] Z. Özer,et al. Effectiveness of telehealth interventions as a part of secondary prevention in coronary artery disease: a systematic review and meta-analysis. , 2019, Scandinavian journal of caring sciences.
[25] M. Pencina,et al. Effects of a 9-Week Hybrid Comprehensive Telerehabilitation Program on Long-term Outcomes in Patients With Heart Failure: The Telerehabilitation in Heart Failure Patients (TELEREH-HF) Randomized Clinical Trial. , 2019, JAMA cardiology.
[26] Junbo Ge,et al. Smartphone and social media-based cardiac rehabilitation and secondary prevention in China (SMART-CR/SP): a parallel-group, single-blind, randomised controlled trial. , 2019, The Lancet. Digital health.
[27] Douglas G. Altman,et al. Analysing data and undertaking meta‐analyses , 2019, Cochrane Handbook for Systematic Reviews of Interventions.
[28] Jilin Li,et al. Innovative Application of a Home-Based and Remote Sensing Cardiac Rehabilitation Protocol in Chinese Patients After Percutaneous Coronary Intervention. , 2019, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.
[29] H. Young,et al. Image-Based Mobile System for Dietary Management in an American Cardiology Population: Pilot Randomized Controlled Trial to Assess the Efficacy of Dietary Coaching Delivered via a Smartphone App Versus Traditional Counseling , 2019, JMIR mHealth and uHealth.
[30] C. Pullen,et al. Weight management telehealth intervention for overweight and obese rural cardiac rehabilitation participants: A randomised trial. , 2019, Journal of clinical nursing.
[31] B. Freedman,et al. Telehealth interventions for the secondary prevention of coronary heart disease: A systematic review and meta-analysis , 2019, European journal of cardiovascular nursing : journal of the Working Group on Cardiovascular Nursing of the European Society of Cardiology.
[32] Yue Liu,et al. The association of depression following percutanous coronary intervention with adverse cardiovascular events , 2019, Medicine.
[33] M. Khan,et al. Association Between Obesity and Cardiovascular Outcomes , 2018, JAMA network open.
[34] Nicholas Gant,et al. Effects and costs of real-time cardiac telerehabilitation: randomised controlled non-inferiority trial , 2018, Heart.
[35] Kris Rogers,et al. Medication reminder applications to improve adherence in coronary heart disease: a randomised clinical trial , 2018, Heart.
[36] W. Kraus,et al. Effects of a 12‐week mHealth program on peak VO2 and physical activity patterns after completing cardiac rehabilitation: A randomized controlled trial , 2018, American heart journal.
[37] S. Thompson,et al. Smartphones in the secondary prevention of cardiovascular disease: a systematic review , 2018, BMC Cardiovascular Disorders.
[38] B. Whalley,et al. Psychological interventions for coronary heart disease: Cochrane systematic review and meta-analysis , 2018, European journal of preventive cardiology.
[39] M. Khan,et al. Association Between Obesity and Cardiovascular Outcomes A Systematic Review and Meta-analysis of Mendelian Randomization Studies , 2018 .
[40] Paul Dendale,et al. Cardiac telerehabilitation: A novel cost-efficient care delivery strategy that can induce long-term health benefits , 2017, European journal of preventive cardiology.
[41] Ryan Lennon,et al. Digital health intervention during cardiac rehabilitation: A randomized controlled trial , 2017, American heart journal.
[42] A. Engin,et al. The Definition and Prevalence of Obesity and Metabolic Syndrome. , 2017, Advances in experimental medicine and biology.
[43] S. Glöggler,et al. Internet-based training of coronary artery patients: the Heart Cycle Trial , 2017, Heart and Vessels.
[44] Joakim Alfredsson,et al. Effects of interactive patient smartphone support app on drug adherence and lifestyle changes in myocardial infarction patients: A randomized study. , 2016, American heart journal.
[45] S. Anderson,et al. Blood pressure lowering for prevention of cardiovascular disease and death: a systematic review and meta-analysis , 2016, The Lancet.
[46] Wei Liu,et al. Telehealth interventions versus center-based cardiac rehabilitation of coronary artery disease: A systematic review and meta-analysis , 2015, European journal of preventive cardiology.
[47] Ralph Maddison,et al. A mobile phone intervention increases physical activity in people with cardiovascular disease: Results from the HEART randomized controlled trial , 2015, European journal of preventive cardiology.
[48] Marlien Varnfield,et al. Information and communication technology-based cardiac rehabilitation homecare programs , 2015 .
[49] Dominique Hansen,et al. Increasing the medium-term clinical benefits of hospital-based cardiac rehabilitation by physical activity telemonitoring in coronary artery disease patients , 2015, European journal of preventive cardiology.
[50] Darrel P. Francis,et al. 2014 Global geographic analysis of mortality from ischaemic heart disease by country, age and income: Statistics from World Health Organisation and United Nations , 2014, International journal of cardiology.
[51] R. Whittaker,et al. The HEART Mobile Phone Trial: The Partial Mediating Effects of Self-Efficacy on Physical Activity among Cardiac Patients , 2014, Front. Public Health.
[52] E. Piotrowicz,et al. Cardiac telerehabilitation: current situation and future challenges , 2013, European journal of preventive cardiology.
[53] G. De Backer,et al. Cost-effectiveness of optimizing prevention in patients with coronary heart disease: the EUROASPIRE III health economics project. , 2012, European heart journal.
[54] J. Sterne,et al. The Cochrane Collaboration’s tool for assessing risk of bias in randomised trials , 2011, BMJ : British Medical Journal.
[55] A. Hoes,et al. [Guidelines on cardiovascular disease prevention in clinical practice]. , 2005, Revue medicale de Liege.