Guillaume Baudry, Maria Generosa Crespo-Leiro, Clément Delmas, Federica Guidetti, Marta Jimenez-Blanco Bravo, Federica Valente, Maja Cikes, Nicolas Girerd, Finn Gustafsson, Gianluigi Savarese, Linda W van Laake, Loreena Hill, Anne Kathrine Skibelund, Andreas Zuckermann, Marco Metra, Kevin Damman
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In this context, the aim of this scientific statement from the Heart Failure Association (HFA) of the ESC is to systematically identify and address the multifaceted barriers that hinder early recognition and referral for advanced HF care. These barriers span across different stakeholders-patients, caregivers, referring physicians, HF specialists, the academic community, and health authorities. The document proposes practical, stakeholder-specific solutions to improve awareness, standardize referral criteria, integrate digital decision-support tools, and structure care networks. Ultimately, the goal is to enable earlier access to specialized evaluation, ensure equitable use of HT and MCS when appropriate, and improve both survival and quality of life for patients living with advanced HF.</p>","PeriodicalId":164,"journal":{"name":"European Journal of Heart Failure","volume":" ","pages":""},"PeriodicalIF":10.8000,"publicationDate":"2025-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Identifying and overcoming barriers to referral in advanced heart failure. 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Identifying and overcoming barriers to referral in advanced heart failure. A scientific statement of the Heart Failure Association (HFA) of the ESC.
The identification of patients with advanced heart failure (HF) remains challenging, often leading to delayed referrals and suboptimal use of advanced therapies such as long-term mechanical circulatory support (MCS) or heart transplantation (HT). This delay contributes to worse outcomes and missed opportunities for timely intervention. Many eligible patients are not recognized early enough in their clinical trajectory, either due to the complexity of the condition, overlapping HF phenotypes, or limited awareness of referral criteria among non-specialist clinicians. In this context, the aim of this scientific statement from the Heart Failure Association (HFA) of the ESC is to systematically identify and address the multifaceted barriers that hinder early recognition and referral for advanced HF care. These barriers span across different stakeholders-patients, caregivers, referring physicians, HF specialists, the academic community, and health authorities. The document proposes practical, stakeholder-specific solutions to improve awareness, standardize referral criteria, integrate digital decision-support tools, and structure care networks. Ultimately, the goal is to enable earlier access to specialized evaluation, ensure equitable use of HT and MCS when appropriate, and improve both survival and quality of life for patients living with advanced HF.
期刊介绍:
European Journal of Heart Failure is an international journal dedicated to advancing knowledge in the field of heart failure management. The journal publishes reviews and editorials aimed at improving understanding, prevention, investigation, and treatment of heart failure. It covers various disciplines such as molecular and cellular biology, pathology, physiology, electrophysiology, pharmacology, clinical sciences, social sciences, and population sciences. The journal welcomes submissions of manuscripts on basic, clinical, and population sciences, as well as original contributions on nursing, care of the elderly, primary care, health economics, and other related specialist fields. It is published monthly and has a readership that includes cardiologists, emergency room physicians, intensivists, internists, general physicians, cardiac nurses, diabetologists, epidemiologists, basic scientists focusing on cardiovascular research, and those working in rehabilitation. The journal is abstracted and indexed in various databases such as Academic Search, Embase, MEDLINE/PubMed, and Science Citation Index.