Mobile health technologies in cardiology
https://doi.org/10.18087/cardio.2022.1.n1963
Abstract
Digital medicine is becoming an essential part of the healthcare system. The intense development of mobile technologies, the global coverage of mobile networks, and the growing attachment in the society to mobile devices have prompted the creation of mobile healthcare (mHealth). At present, mobile healthcare technologies have been tested in various cardiovascular diseases. Among the main tasks set for telemedicine, it is necessary to note improvements of general medical care, monitoring of patients’ condition, accuracy of clinical diagnoses, timely correction of therapy, and improvement of emergency care. Clinical studies are performed in parallel with active work in the field of informational technologies to provide safety of data storage and intellectual processing. Finally, despite the broad public support for the development of this area of medicine, the search continues for methods to improve patients’ compliance with the prescribed therapy. This article presents current information about the use of mHealth in cardiology, study results, prospects of mobile healthcare, and major difficulties in implementing projects in this area.
Keywords
Supporting agencies: No conflict of interest is reported.
About the Authors
Yu. N. Belenkov
I.M. Sechenov First Moscow Medical University (Sechenov University), Moscow
Russian Federation
Russian Federation
doctor of medical sciences, professor, academic, head of department Professor of the Hospital therapy №1 Department, MD,PhD
M. V. Kozhevnikova
I.M. Sechenov First Moscow Medical University (Sechenov University), Moscow
Russian Federation
Russian Federation
Professor of the Hospital therapy №1 Department, PhD
References
1. World Health Organization. mHealth New horizons for health through mobile technologies. Based on the findings of the second global survey on eHealth. -Switzerland: WHO;2011. - 112 p. ISBN 978-92-4-156425-0
2. Barrett PM, Komatireddy R, Haaser S, Topol S, Sheard J, Encinas J et al. Comparison of 24-hour Holter Monitoring with 14-day Novel Adhesive Patch Electrocardiographic Monitoring. The American Journal of Medicine. 2014;127(1):95.e11-95.e17. DOI: 10.1016/j.amjmed.2013.10.003
3. Elliot CA, Hamlin MJ, Lizamore CA. Validity and Reliability of the Hexoskin Wearable Biometric Vest During Maximal Aerobic Power Testing in Elite Cyclists. Journal of Strength and Conditioning Research. 2019;33(5):1437–44. DOI: 10.1519/JSC.0000000000002005
4. Eysenck W, Freemantle N, Sulke N. A randomized trial evaluating the accuracy of AF detection by four external ambulatory ECG monitors compared to permanent pacemaker AF detection. Journal of Interventional Cardiac Electrophysiology. 2020;57(3):361–9. DOI: 10.1007/s10840-019-00515-0
5. Chan P, Wong C, Poh YC, Pun L, Leung WW, Wong Y et al. Diagnostic Performance of a Smartphone‐Based Photoplethysmographic Application for Atrial Fibrillation Screening in a Primary Care Setting. Journal of the American Heart Association. 2016;5(7):e003428. DOI: 10.1161/JAHA.116.003428
6. Halcox JPJ, Wareham K, Cardew A, Gilmore M, Barry JP, Phillips C et al. Assessment of Remote Heart Rhythm Sampling Using the AliveCor Heart Monitor to Screen for Atrial Fibrillation: The REHEARSEAF Study. Circulation. 2017;136(19):1784–94. DOI: 10.1161/CIRCULATIONAHA.117.030583
7. Koltowski L, Balsam P, Glowczynska R, Rokicki JK, Peller M, Maksym J et al. Kardia Mobile applicability in clinical practice: A comparison of Kardia Mobile and standard 12-lead electrocardiogram records in 100 consecutive patients of a tertiary cardiovascular care center. Cardiology Journal. 2021;28(4):543–8. DOI: 10.5603/CJ.a2019.0001
8. Lowres N, Olivier J, Chao T-F, Chen S-A, Chen Y, Diederichsen A et al. Estimated stroke risk, yield, and number needed to screen for atrial fibrillation detected through single time screening: a multicountry patient-level meta-analysis of 141,220 screened individuals. PLOS Medicine. 2019;16(9):e1002903. DOI: 10.1371/journal.pmed.1002903
9. O’Sullivan JW, Grigg S, Crawford W, Turakhia MP, Perez M, Ingelsson E et al. Accuracy of Smartphone Camera Applications for Detecting Atrial Fibrillation: A Systematic Review and Meta-analysis. JAMA Network Open. 2020;3(4):e202064. DOI: 10.1001/jamanetworkopen.2020.2064
10. Svennberg E, Engdahl J, Al-Khalili F, Friberg L, Frykman V, Rosenqvist M. Mass Screening for Untreated Atrial Fibrillation: The STROKESTOP Study. Circulation. 2015;131(25):2176–84. DOI: 10.1161/CIRCULATIONAHA.114.014343
11. Kemp Gudmundsdottir K, Fredriksson T, Svennberg E, Al-Khalili F, Friberg L, Frykman V et al. Stepwise mass screening for atrial fibrillation using N-terminal B-type natriuretic peptide: the STROKESTOP II study. EP Europace. 2020;22(1):24–32. DOI: 10.1093/europace/euz255
12. McManus DD, Chong JW, Soni A, Saczynski JS, Esa N, Napolitano C et al. PULSE-SMART: Pulse-Based Arrhythmia Discrimination Using a Novel Smartphone Application: Automated Arrhythmia Discrimination Using a Smartphone. Journal of Cardiovascular Electrophysiology. 2016;27(1):51–7. DOI: 10.1111/jce.12842
13. Lebedev G.S., Shaderkin I.A., Porubaeva E.E., Shaderkina A.I. Technologies for Continuous Blood Pressure Monitoring: Prospects for Practical Application. Russian Journal of Telemedicine and E-Health. 2020;6(1):3–20. DOI: 10.29188/2542-2413-2020-6-1-3-20
14. Khasbiev S.A., Allayarova R.M., Zagidullin N.Sh., Petrova E.A., Volkova R.V., Mudarisov D.F. Experience of participation in the blood pressure telemonitoring pilot project of the ministry of healthcare. Russian Journal of Telemedicine and E-Health. 2021;7(1):7–13. DOI: 10.29188/2542-2413-2021-7-1-7-13
15. Duan Y, Xie Z, Dong F, Wu Z, Lin Z, Sun N et al. Effectiveness of home blood pressure telemonitoring: a systematic review and metaanalysis of randomised controlled studies. Journal of Human Hypertension. 2017;31(7):427–37. DOI: 10.1038/jhh.2016.99
16. McManus RJ, Mant J, Franssen M, Nickless A, Schwartz C, Hodgkinson J et al. Efficacy of self-monitored blood pressure, with or without telemonitoring, for titration of antihypertensive medication (TASMINH4): an unmasked randomised controlled trial. The Lancet. 2018;391(10124):949–59. DOI: 10.1016/S0140-6736(18)30309-X
17. Williams B, Mancia G, Spiering W, Agabiti Rosei E, Azizi M, Burnier M et al. 2018 ESC/ESH Guidelines for the management of arterial hypertension. European Heart Journal. 2018;39(33):3021–104. DOI: 10.1093/eurheartj/ehy339
18. Avila C. Novel Use of Apple Watch 4 to Obtain 3-Lead Electrocardiogram and Detect Cardiac Ischemia. The Permanente Journal. 2019;23(3):19–25. DOI: 10.7812/TPP/19-025
19. Pereverzeva K.G., Yakushin S.S. Evaluation of the effectiveness and safety of using a remote monitoring system for patients after myocardial infarction. Therapy. 2021;7(7(49)):95–102. DOI: 10.18565/therapy.2021.7.95-103
20. Zwisler A-D, Norton RJ, Dean SG, Dalal H, Tang LH, Wingham J et al. Home-based cardiac rehabilitation for people with heart failure: A systematic review and meta-analysis. International Journal of Cardiology. 2016;221:963–9. DOI: 10.1016/j.ijcard.2016.06.207
21. Ritchey MD, Maresh S, McNeely J, Shaffer T, Jackson SL, Keteyian SJ et al. Tracking Cardiac Rehabilitation Participation and Completion Among Medicare Beneficiaries to Inform the Efforts of a National Initiative. Circulation: Cardiovascular Quality and Outcomes. 2020;13(1):e005902. DOI: 10.1161/CIRCOUTCOMES.119.005902
22. Grebennikova A.A., Stoliarov A.Yu., Lopatin Yu.M. The use of platform for remote monitoring on the base of mobile app for improving self-care in patients with chronic heart failure. Kardiologiia. 2017;57(S4):11–8. DOI: 10.18087/cardio.2413
23. Park LG, Beatty A, Stafford Z, Whooley MA. Mobile Phone Interventions for the Secondary Prevention of Cardiovascular Disease. Progress in Cardiovascular Diseases. 2016;58(6):639–50. DOI: 10.1016/j.pcad.2016.03.002
24. Cajita MI, Gleason KT, Han H-R. A Systematic Review of mHealthBased Heart Failure Interventions. Journal of Cardiovascular Nursing. 2016;31(3):E10–22. DOI: 10.1097/JCN.0000000000000305
25. Brons M, Koudstaal S, Asselbergs FW. Algorithms used in telemonitoring programmes for patients with chronic heart failure: A systematic review. European Journal of Cardiovascular Nursing. 2018;17(7):580–8. DOI: 10.1177/1474515118786838
26. Koehler F, Winkler S, Schieber M, Sechtem U, Stangl K, Böhm M et al. Telemedicine in heart failure: Pre-specified and exploratory subgroup analyses from the TIM-HF trial. International Journal of Cardiology. 2012;161(3):143–50. DOI: 10.1016/j.ijcard.2011.09.007
27. Koehler F, Koehler K, Deckwart O, Prescher S, Wegscheider K, Kirwan B-A et al. Efficacy of telemedical interventional management in patients with heart failure (TIM-HF2): a randomised, controlled, parallel-group, unmasked trial. The Lancet. 2018;392(10152):1047– 57. DOI: 10.1016/S0140-6736(18)31880-4
28. Kitsiou S, Vatani H, Paré G, Gerber BS, Buchholz SW, Kansal MM et al. Effectiveness of Mobile Health Technology Interventions for Patients With Heart Failure: Systematic Review and Meta-analysis. Canadian Journal of Cardiology. 2021;37(8):1248–59. DOI: 10.1016/j.cjca.2021.02.015
29. Thomas RJ, Beatty AL, Beckie TM, Brewer LC, Brown TM, Forman DE et al. Home-Based Cardiac Rehabilitation: A Scientific Statement From the American Association of Cardiovascular and Pulmonary Rehabilitation, the American Heart Association, and the American College of Cardiology. Journal of the American College of Cardiology. 2019;74(1):133–53. DOI: 10.1016/j.jacc.2019.03.008
30. McDonagh TA, Metra M, Adamo M, Gardner RS, Baumbach A, Böhm M et al. 2021 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure. European Heart Journal. 2021;42(36):3599–726. DOI: 10.1093/eurheartj/ehab368
31. Negri E, Fumagalli L, Macchi M. A Review of the Roles of Digital Twin in CPS-based Production Systems. Procedia Manufacturing. 2017;11:939–48. DOI: 10.1016/j.promfg.2017.07.198
32. Corral-Acero J, Margara F, Marciniak M, Rodero C, Loncaric F, Feng Y et al. The ‘Digital Twin’ to enable the vision of precision cardiology. European Heart Journal. 2020;41(48):4556–64. DOI: 10.1093/eurheartj/ehaa159
33. Dugas M, Gao G (Gordon), Agarwal R. Unpacking mHealth interventions: A systematic review of behavior change techniques used in randomized controlled trials assessing mHealth effectiveness. Digital Health. 2020;6:205520762090541. DOI: 10.1177/2055207620905411
34. Sardi L, Idri A, Fernández-Alemán JL. A systematic review of gamification in e-Health. Journal of Biomedical Informatics. 2017;71:31–48. DOI: 10.1016/j.jbi.2017.05.011
35. Miller AS, Cafazzo JA, Seto E. A game plan: Gamification design principles in mHealth applications for chronic disease management. Health Informatics Journal. 2016;22(2):184–93. DOI: 10.1177/1460458214537511
36. Dennis TA, O’Toole LJ. Mental Health on the Go: Effects of a Gamified Attention-Bias Modification Mobile Application in Trait-Anxious Adults. Clinical Psychological Science. 2014;2(5):576–90. DOI: 10.1177/2167702614522228
37. Riegel B, Moser DK, Buck HG, Dickson VV, Dunbar SB, Lee CS et al. Self‐Care for the Prevention and Management of Cardiovascular Disease and Stroke: A Scientific Statement for Healthcare Professionals From the American Heart Association. Journal of the American Heart Association. 2017;6(9):e006997. DOI: 10.1161/JAHA.117.006997
38. Palant A, Zippel-Schultz B, Ski C, Brandts J, Eurlings C, Furtado Da Luz Brzychcyk E et al. Understanding needs and expectations of heart failure patients and their caregivers regarding digital health - the PASSION-HF project. European Journal of Cardiovascular Nursing. 2021;20(Suppl 1):zvab060.036. DOI: 10.1093/eurjcn/zvab060.036
39. Jalali MS, Russell B, Razak S, Gordon WJ. EARS to cyber incidents in health care. Journal of the American Medical Informatics Association. 2019;26(1):81–90. DOI: 10.1093/jamia/ocy148
Review
For citations:
Belenkov Yu.N., Kozhevnikova M.V. Mobile health technologies in cardiology. Kardiologiia. 2022;62(1):4-12. (In Russ.) https://doi.org/10.18087/cardio.2022.1.n1963
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