Incorporating patients' preference diagnosis in implantable cardioverter defibrillator decision-making: a review of recent literature. (January 2018)

• Record Type: Journal Article
• Authors: Lewis, Krystina B.; Carroll, Sandra L.; Birnie, David; Stacey, Dawn; Matlock, Daniel D.
• Is Part Of: Current opinion in cardiology. Volume 33:Number 1(2018:Jan.)
• Publication Date: 2018-01
• Subjects: implantable cardioverter defibrillator -- patient preferences -- shared decision-making; Cardiology -- Periodicals; Cardiology -- Periodicals; Heart Diseases -- Periodicals; Cardiology; Periodicals; 616.12
• DOI: 10.1097/HCO.0000000000000464
• Languages: English
• ISSNs: 0268-4705

Abstract

Abstract : Purpose of review: Strong recommendations exist for implantable cardioverter defibrillators (ICD) in appropriately selected patients. Yet, patient preferences are not often incorporated when decisions about ICD therapy are made. Literature published since 2016 was reviewed aiming to discuss current advances and ongoing challenges with ICD decision-making in adults, discuss shared decision-making (SDM) as a strategy to incorporate preference diagnoses, summarize current evidence on effective interventions to facilitate SDM, and identify opportunities for research and practice. Recent findings: Advances in risk stratification can identify patients who will most and least likely benefit from the ICD. Interventions to support SDM are emerging. These interventions present options, the risks, and the benefits of each option, and elicit patients' values and preferences regarding possible outcomes. Summary: Appropriate patient selection for initial or continued ICD therapy is multifactorial. It requires accurate clinical diagnosis using careful risk stratification and accurate preference diagnosis based upon the patient's preferences. SDM aims to unite the elements that constitute these two equally important diagnoses. High-quality decision-making will be difficult to achieve if patients lack or misunderstand information, and if evolving patient preferences are not incorporated when making decisions.