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Current Cardiology Reviews

Editor-in-Chief

ISSN (Print): 1573-403X
ISSN (Online): 1875-6557

Letter Article

Malthusian Trajectory for Heart Failure and Novel Translational Ambulatory Technologies

Author(s): Bidargaddi Niranjan, Maximilian P. de Courten, Pupalan Iyngkaran* and Malcolm Battersby

Volume 19, Issue 3, 2023

Published on: 23 January, 2023

Article ID: e240522205193 Pages: 6

DOI: 10.2174/1573403X18666220524145646

Price: $65

Abstract

Introduction: It has been estimated that congestive heart failure (CHF) will reach epidemic proportions and contribute to large unsustainable impacts on health budgets for any cardiovascular condition. Against other major trends in cardiovascular outcomes, readmission and disease burden continue to rise as the demographics shift.

Methods: The rise in heart failure with preserved ejection fraction (HFpEF) among elderly women will present new challenges. Gold standard care delivers sustainable and cost-effective health improvements using organised care programs. When coordinated with large hospitals, this can be replicated universally.

Results: A gradient of outcomes and ambulatory care needs to be shifted from established institutions and shared with clients and community health services, being a sizeable proportion of CHF care.

Conclusion: In this review, we explore health technologies as an emerging opportunity to address gaps in CHF management.

Keywords: Ambulatory care, congestive heart failure, health, technology, translation, malthusian concept.

[1]
Satici S, Iyngkaran P, Andrew S, et al. Rethinking heart failure care and health technologies from early 2 COVID-19 experiences - A narrative review. Rev Cardiovasc Med 2021; 22(1): 1-10.
[2]
Nolan MT, Tan N, Neil CJ. Novel Non-Pharmaceutical advancements in heart failure management: The emerging role of technology. Curr Cardiol Rev 2022; 18(4): e310821195984.
[http://dx.doi.org/10.2174/1573403X17666210831144141] [PMID: 34488615]
[3]
Iyngkaran P, Liew D, Neil C, Driscoll A, Marwick TH, Hare DL. Moving from heart failure guidelines to clinical practice: Gaps contributing to readmissions in patients with multiple comorbidities and older age. Clin Med Insights Cardiol 2018; 12: 1179546818 809358.
[http://dx.doi.org/10.1177/1179546818809358] [PMID: 30618487]
[4]
Thirumalaikolundusubramanian P, Meenakshisundaram R. Senthil kumaran S Ethics, legality, and education in the practice of cardiology. Heart and Toxins 2015; pp. 595-623.
[http://dx.doi.org/10.1016/B978-0-12-416595-3.00023-2]
[5]
Henderson JP. Introduction to thomas robert malthus, ‘an essay on the principle of population’, 1798. In: Essays in the History of Mainstream Political Economy. London: Palgrave Macmillan 1992.
[http://dx.doi.org/10.1007/978-1-349-12266-0_7]
[6]
Iyngkaran P, Thomas MC, Neil C, et al. The heart failure with preserved ejection fraction conundrum-redefining the problem and finding common ground? Curr Heart Fail Rep 2020; 17(2): 34-42.
[http://dx.doi.org/10.1007/s11897-020-00454-2] [PMID: 32112345]
[7]
Cahan EM, Kocher B, Bohn R. Why isn’t innovation helping reduce health care costs?. Health Affairs Blog 2020.
[http://dx.doi.org/10.1377/hblog20200602.168241]
[8]
Doctor J, MacEwan JP. Limitations of traditional health technology assessment methods and implications for the evaluation of novel therapies. Curr Med Res Opin 2017; 33(9): 1635-42.
[http://dx.doi.org/10.1080/03007995.2017.1359151] [PMID: 28756684]
[9]
Caro JJ, Brazier JE, Karnon J, et al. Determining value in health technology assessment: Stay the course or tack away? Pharmacoeconomics 2019; 37(3): 293-9.
[http://dx.doi.org/10.1007/s40273-018-0742-2] [PMID: 30414074]
[10]
Yancy CW, Jessup M, Bozkurt B, Butler J, Casey DE Jr, Colvin MM. 2017 ACC/AHA/HFSA focused update of the 2013 ACCF/AHA guideline for the management of heart failure. Circulation 2017; 136: e137-61.
[http://dx.doi.org/10.1161/CIR.0000000000000509] [PMID: 28455343]
[11]
Ponikowski P, Voors AA, Anker SD, et al. ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure: The task force for the diagnosis and treatment of acute and chronic heart failure of the European Society of Cardiology (ESC). Eur Heart J 2016; 37(27): 2129-200.
[http://dx.doi.org/10.1093/eurheartj/ehw128] [PMID: 27206819]
[12]
Krumholz HM, Currie PM, Riegel B, et al. A taxonomy for disease management. Circulation 2006; 114(13): 1432-45.
[http://dx.doi.org/10.1161/CIRCULATIONAHA.106.177322] [PMID: 16952985]
[13]
Zipes DP, Libby P, Bonow RO, Mann DL, Tomaselli GF. Braunwald’s Heart Disease In: A Textbook of Cardiovascular Medicine. 11th Edition 2011.
[14]
Cardiac Diagnostics. Available from: https://www.dicardiology.com/channel/cardiac-diagnostics
[15]
Muthumala A. Overview of devices in advanced heart failure 2017; 14: 41.
[16]
Gierula J, Kearney MT, Witte KK. Devices in heart failure; diagnosis, detection and disease modification. Br Med Bull 2018; 125(1): 91-102.
[http://dx.doi.org/10.1093/bmb/ldx051] [PMID: 29342243]
[17]
Allida S, Du H, Xu X, et al. mHealth education interventions in heart failure. Cochrane Database Syst Rev 2020; 7(7): CD011845.
[PMID: 32613635]
[18]
Indraratna P, Tardo D, Yu J, et al. mHealth interventions in the management of heart failure, ischaemic heart disease and hypertension: A systematic review and meta-analysis of randomised controlled trials. Euro Heart J 2020; 41 (Suppl 2) ehaa946.3507.
[19]
Tripoliti EE, Karanasiou GS, Kalatzis FG, Naka KK, Fotiadis DI. The evolution of mhealth solutions for heart failure management. Adv Exp Med Biol 2018; 1067: 353-71.
[http://dx.doi.org/10.1007/5584_2017_99] [PMID: 28980271]
[20]
Cajita MI, Gleason KT, Han HR. A systematic review of mhealth-based heart failure interventions. J Cardiovasc Nurs 2016; 31(3): E10-22.
[http://dx.doi.org/10.1097/JCN.0000000000000305] [PMID: 26544175]
[21]
Bremner R, Gibbs A, Mitchell ARJ. The era of immersive health technology. Euro Med J Innov 2020; 4(1): 40-7.
[http://dx.doi.org/10.33590/emjinnov/19-00132]
[22]
Shan R, Ding J, Plante TB, Martin SS. Mobile health access and use among individuals with or at risk for cardiovascular disease: 2018 Health Information National Trends Survey (HINTS). J Am Heart Assoc 2019; 8(24): e014390.
[http://dx.doi.org/10.1161/JAHA.119.014390] [PMID: 31818220]
[23]
Zisis G, Huynh Q, Yang Y, et al. Rationale and design of a risk-guided strategy for reducing readmissions for acute decompensated heart failure: The Risk-HF study. ESC Heart Fail 2020; 7(5): 3151-60.
[http://dx.doi.org/10.1002/ehf2.12897] [PMID: 32696559]
[24]
Johnston K, Buxton MJ, Jones DR, Fitzpatrick R. Assessing the costs of healthcare technologies in clinical trials. Health Technol Assess 1999; 3(6): 1-76.
[http://dx.doi.org/10.3310/hta3060] [PMID: 10350450]
[25]
Thimbleby H. Technology and the future of healthcare. J Public Health Res 2013; 2(3): e28.
[http://dx.doi.org/10.4081/jphr.2013.e28] [PMID: 25170499]
[26]
Ten Haken I,, Ben Allouch S, van Harten WH. The use of advanced medical technologies at home: A systematic review of the literature. BMC Public Health 2018; 18(1): 284.
[http://dx.doi.org/10.1186/s12889-018-5123-4] [PMID: 29482550]
[27]
Lee E, Alnosayam N, et al. Designing patient-centered mhealth technology intervention to reduce hospital readmission for heartfailure patients 48th Hawaii International Conference on System Sciences. Kauai, HI, USA. 2015; 2886-95.
[http://dx.doi.org/10.1109/HICSS.2015.349]
[28]
Bidargaddi N, Almirall D, Murphy S, et al. To prompt or not to prompt? A Microrandomized trial of time-varying push notifications to increase proximal engagement with a mobile health app. JMIR Mhealth Uhealth 2018; 6(11): e10123.
[http://dx.doi.org/10.2196/10123] [PMID: 30497999]
[29]
Bidargaddi N, Schrader G, Myles H, et al. Demonstration of automated non-adherence and service disengagement risk monitoring with active follow-up for severe mental illness. Aust N Z J Psychiatry 2021; 55(10): 976-82.
[http://dx.doi.org/10.1177/0004867421998800] [PMID: 33745291]
[30]
Fisk M, Livingstone A, Pit SW. Telehealth in the context of covid-19: Changing perspectives in Australia, the United Kingdom, and the United States. J Med Internet Res 2020; 22(6): e19264.
[http://dx.doi.org/10.2196/19264] [PMID: 32463377]
[31]
Klasnja P, Smith S, Seewald NJ, et al. Efficacy of contextually tailored suggestions for physical activity: A micro-randomized optimization trial of heartsteps. Ann Behav Med 2019; 53(6): 573-82.
[http://dx.doi.org/10.1093/abm/kay067] [PMID: 30192907]
[32]
May M, Junghaenel DU, Ono M, Stone AA, Schneider S. Ecological Momentary Assessment methodology in chronic pain research: A systematic review. J Pain 2018; 19(7): 699-716.
[http://dx.doi.org/10.1016/j.jpain.2018.01.006] [PMID: 29371113]
[33]
Moore RC, Depp CA, Wetherell JL, Lenze EJ. Ecological momentary assessment versus standard assessment instruments for measuring mindfulness, depressed mood, and anxiety among older adults. J Psychiatr Res 2016; 75: 116-23.
[http://dx.doi.org/10.1016/j.jpsychires.2016.01.011] [PMID: 26851494]
[34]
Price ND, Magis AT, Earls JC, et al. A wellness study of 108 individuals using personal, dense, dynamic data clouds. Nat Biotechnol 2017; 35(8): 747-56.
[http://dx.doi.org/10.1038/nbt.3870] [PMID: 28714965]
[35]
Ringh M, Rosenqvist M, Hollenberg J, et al. Mobile-phone dispatch of laypersons for CPR in out-of-hospital cardiac arrest. N Engl J Med 2015; 372(24): 2316-25.
[http://dx.doi.org/10.1056/NEJMoa1406038] [PMID: 26061836]
[36]
Schüssler-Fiorenza Rose SM, Contrepois K, Moneghetti KJ, et al. A longitudinal big data approach for precision health. Nat Med 2019; 25(5): 792-804.
[http://dx.doi.org/10.1038/s41591-019-0414-6] [PMID: 31068711]
[37]
Zuboff Shoshana. The age of surveillance capitalism 2019.
[38]
Wicks P, Mack Thorley E, Simacek K, Curran C, Emmas C. Scaling patientslikeme via a “generalized platform” for members with chronic illness: Web-based survey study of benefits arising. J Med Internet Res 2018; 20(5): e175.
[http://dx.doi.org/10.2196/jmir.9909] [PMID: 29735472]

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