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This paper addresses the challenge of integrating wearable activity trackers (WATs) into cardiovascular disease care. Despite evidence supporting the use of trackers for monitoring and promoting physical activity, implementation challenges persist in clinical settings. The paper emphasizes the lack of systematic, evidence-based implementation approaches for integrating trackers. It underscores the urgent need for stakeholder collaboration between clinicians, patients, implementation scientists, researchers, health and technology partners, and the use of proven implementation science methodologies. This is crucial for bridging the gap and ensuring effective translation of WATs into cardiovascular care, meeting the increasing demand from patients and clinicians., Competing Interests: Conflict of interest: none declared., (© The Author(s) 2024. Published by Oxford University Press on behalf of the European Society of Cardiology. All rights reserved. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com.)

To develop a suite of quality indicators (QIs) for the management of patients with ventricular arrhythmias (VA) and the prevention of sudden cardiac death (SCD). The Working Group comprised experts in heart rhythm management including Task Force members of the 2022 European Society of Cardiology (ESC) Clinical Practice Guidelines for the management of patients with VA and the prevention of SCD, members of the European Heart Rhythm Association, international experts, and a patient representative. We followed the ESC methodology for QI development, which involves (i) the identification of the key domains of care for the management of patients with VA and the prevention of SCD by constructing a conceptual framework of care, (ii) the development of candidate QIs by conducting a systematic review of the literature, (iii) the selection of the final set of QIs using a modified-Delphi method, and (iv) the evaluation of the feasibility of the developed QIs. We identified eight domains of care for the management of patients with VA and the prevention of SCD: (i) structural framework, (ii) screening and diagnosis, (iii) risk stratification, (iv) patient education and lifestyle modification, (v) pharmacological treatment, (vi) device therapy, (vii) catheter ablation, and (viii) outcomes, which included 17 main and 4 secondary QIs across these domains. Following a standardized methodology, we developed 21 QIs for the management of patients with VA and the prevention of SCD. The implementation of these QIs will improve the care and outcomes of patients with VA and contribute to the prevention of SCD., Competing Interests: Conflict of interest: M.J.A. is a consultant for Abbott, Boston Scientific, Bristol Myers Squibb, Daichii Sankyo, Invitae, LQT Therapeutics, and Medtronic. M.J.A. and/or Mayo Clinic are involved in an equity/intellectual property/royalty relationship with AliveCor, Anumana, ARMGO Pharma, Pfizer, and UpToDate. However, none of these entities were involved in this study. T.D. receives from InHeart—Speaker honoraria, personal (< 5.000€), Siemens—Speaker Honoraria, institutional (< 5.000€), Biotronik—Educational Course Director, personal (< 10.000€), Abbott—Speaker honoraria, personal (< 5.000€) and Boston Scientific—Adverse events committee, personal (< 5.000€). CPG Chair of the Data Science Group of EuroHeart, Deputy Editor of EHJ Quality of Care and Clinical Outcomes. Unrelated to the present work: Research grants from Abbott, BMS, BHF, Horizon 2020, NIHR; speaker’s honoraria from AstraZeneca, Raisio Group, Wondr Medical; Consulting from Amgen, AstraZeneca, Bayer, Boehringer Ingelheim, Daiichi Sankyo, Ely-Lilly, Menarini, Vifor outside the submitted work., (© The Author(s) 2022. Published by Oxford University Press on behalf of the European Society of Cardiology. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Competing Interests: Conflict of interest: J.-C.D. has received speaker honoraria, travel grants, and/or research grants from Abbott, Medtronic, Biotronik, Microport, Boston scientific, Bayer, Boehringer Ingelheim, Boston, Bristol Myers Squibb, Pfizer. K.V. is a consultant for Medtronic, Abbott, Biosense Webster, Boston scientific. E.S. has received institutional consulting fees/honoraria for lectures/advisory board from Bayer, Bristol Myers Squibb-Pfizer, Boehringer Ingelheim, Johnson & Johnson, Merck Sharp & Dohme. D.D. has received speaker honoraria and/or travel grants from Abbott, Astra Zeneca, Bayer, Biotronik, Boehringer Ingelheim, Boston Scientific, Bristol Myers Squibb, CVRx, Medtronic, Pfizer, Zoll. All other authors declare no conflicts of interest.

More than 500 million people worldwide live with cardiovascular disease (CVD). Health systems today face fundamental challenges in delivering optimal care due to ageing populations, healthcare workforce constraints, financing, availability and affordability of CVD medicine, and service delivery. Digital health technologies can help address these challenges. They may be a tool to reach Sustainable Development Goal 3.4 and reduce premature mortality from non-communicable diseases (NCDs) by a third by 2030. Yet, a range of fundamental barriers prevents implementation and access to such technologies. Health system governance, health provider, patient and technological factors can prevent or distort their implementation. World Heart Federation (WHF) roadmaps aim to identify essential roadblocks on the pathway to effective prevention, detection, and treatment of CVD. Further, they aim to provide actionable solutions and implementation frameworks for local adaptation. This WHF Roadmap for digital health in cardiology identifies barriers to implementing digital health technologies for CVD and provides recommendations for overcoming them., Competing Interests: Dr Jasper Tromp is supported by the National University of Singapore Start-up grant, the tier 1 grant from the ministry of education and the CS-IRG New Investigator Grant from the National Medical Research Council; has received consulting or speaker fees from Daiichi-Sankyo, Boehringer Ingelheim, Roche diagnostics and Us2.ai, owns patent US-10702247-B2 related to artificial intelligence and echocardiography. Dr Devraj Jindal holds a copyright for the CARDIOMETCARE-M software which is a clinical decision support system. Dr Julie Redfern owns a portion of the IP for the TEXTCARE software that was developed following the TEXTME study. She is also funded by a NHMRC Investigator Grant Leadership Level 2 [GNT2007946]. Dr Khung Keong Yeo has received research funding from Amgen, Astra Zeneca, Abbott Vascular, Bayer, Boston Scientific, Shockwave Medical, Nestle, Novartis (all significant, via institution); Consulting or honoraria feeds (all modest) from Abbott Vascular, Boston Scientific, Medtronic, Amgen, Bayer, Novartis, Astra Zeneca, Peijia Medical; Speaker or Proctor fees from Shockwave Medical, Abbott Vascular, Boston Scientific, Medtronic, Philips, Alvimedica, Bayer, Biotronik, Orbus Neich, Shockwave Medical, Amgen, Novartis, Astra Zeneca, Microport, Terumo. Dr. Lopez-Jimenez is co-inventor of several AI algorithms that have been licensed to digital health companies and may receive financial compensation in the future. He is member of the advisory board for Anumana, an AI-based technology company. He has co-developed digital health technology to use 3D volumes to assess cardiometabolic risk with Selected Research Inc, and may receive financial benefit in the future. Dr Dorairaj Prabhakaran holds a copyright for the CARDIOMETCARE-M software which is a clinical decision support system. Prof Carolyn SP Lam is supported by a Clinician Scientist Award from the National Medical Research Council of Singapore; has received research support from Bayer and Roche Diagnostics; has served as consultant or on the Advisory Board/Steering Committee/Executive Committee for Abbott, Actelion, Alleviant Medical, Allysta Pharma, Amgen, AnaCardio AB, Applied Therapeutics, AstraZeneca, Bayer, Boehringer Ingelheim, Boston Scientific, Cytokinetics, Darma Inc., EchoNous Inc, Impulse Dynamics, Ionis Pharmaceutical, Janssen Research & Development LLC, Medscape/WebMD Global LLC, Merck, Novartis, Novo Nordisk, Prosciento Inc, Radcliffe Group Ltd., Roche Diagnostics, Sanofi, Siemens Healthcare Diagnostics and Us2.ai; and serves as co-founder & non-executive director of Us2.ai. Dr Martin R Cowie has provided consultancy advice to Medtronic, Boston Scientific, Abbott and AstraZeneca, related to aspects of digital health. As from 1 August 2022 he has been employed by AstraZeneca as Clinical Vice-President in Late Stage Research (Biopharmaceuticals)., (Copyright: © 2022 The Author(s).)

Commercially available health technologies such as smartphones and smartwatches, activity trackers and eHealth applications, commonly referred to as wearables , are increasingly available and used both in the leisure and healthcare sector for pulse and fitness/activity tracking. The aim of the Position Paper is to identify specific barriers and knowledge gaps for the use of wearables, in particular for heart rate (HR) and activity tracking, in clinical cardiovascular healthcare to support their implementation into clinical care. The widespread use of HR and fitness tracking technologies provides unparalleled opportunities for capturing physiological information from large populations in the community, which has previously only been available in patient populations in the setting of healthcare provision. The availability of low-cost and high-volume physiological data from the community also provides unique challenges. While the number of patients meeting healthcare providers with data from wearables is rapidly growing, there are at present no clinical guidelines on how and when to use data from wearables in primary and secondary prevention. Technical aspects of HR tracking especially during activity need to be further validated. How to analyse, translate, and interpret large datasets of information into clinically applicable recommendations needs further consideration. While the current users of wearable technologies tend to be young, healthy and in the higher sociodemographic strata, wearables could potentially have a greater utility in the elderly and higher-risk population. Wearables may also provide a benefit through increased health awareness, democratization of health data and patient engagement. Use of continuous monitoring may provide opportunities for detection of risk factors and disease development earlier in the causal pathway, which may provide novel applications in both prevention and clinical research. However, wearables may also have potential adverse consequences due to unintended modification of behaviour, uncertain use and interpretation of large physiological data, a possible increase in social inequality due to differential access and technological literacy, challenges with regulatory bodies and privacy issues. In the present position paper, current applications as well as specific barriers and gaps in knowledge are identified and discussed in order to support the implementation of wearable technologies from gadget-ology into clinical cardiology., (© The Author(s) 2021. Published by Oxford University Press on behalf of the European Society of Cardiology.)