biostudies-literatureHill LPublic Health Agency527-535https://www.ebi.ac.uk/biostudies/studies/S-EPMC6200367biostudies-literatureUnknown33(6)<h4>Background</h4>Rate of implantable cardioverter defibrillator (ICD) implantations is increasing in patients with advanced heart failure. Despite clear guideline recommendations, discussions addressing deactivation occur infrequently.<h4>Aim</h4>The aim of this article is to explore patient and professional factors that impact perceived likelihood and confidence of healthcare professionals to discuss ICD deactivation.<h4>Methods and results</h4>Between 2015 and 2016, an international sample of 262 healthcare professionals (65% nursing, 24% medical) completed an online factorial survey, encompassing a demographic questionnaire and clinical vignettes. Each vignette had 9 randomly manipulated and embedded patient-related factors, considered as independent variables, providing 1572 unique vThe Journal of cardiovascular nursingPatient and Professional Factors That Impact the Perceived Likelihood and Confidence of Healthcare Professionals to Discuss Implantable Cardioverter Defibrillator Deactivation in Advanced Heart Failure: Results From an International Factorial Survey.PMC6200367EAT/4573/11Fitzsimons DTaylor BJSlater PMcIlfatrick SDonnelly PJaarsma TStromberg AHill LMcAloon TDixon LMoser DfalsePatient and Professional Factors That Impact the Perceived Likelihood and Confidence of Healthcare Professionals to Discuss Implantable Cardioverter Defibrillator Deactivation in Advanced Heart Failure: Results From an International Factorial Survey.<h4>Background</h4>Rate of implantable cardioverter defibrillator (ICD) implantations is increasing in patients with advanced heart failure. Despite clear guideline recommendations, discussions addressing deactivation occur infrequently.<h4>Aim</h4>The aim of this article is to explore patient and professional factors that impact perceived likelihood and confidence of healthcare professionals to discuss ICD deactivation.<h4>Methods and results</h4>Between 2015 and 2016, an international sample of 262 healthcare professionals (65% nursing, 24% medical) completed an online factorial survey, encompassing a demographic questionnaire and clinical vignettes. Each vignette had 9 randomly manipulated and embedded patient-related factors, considered as independent variables, providing 1572 unique v2018-01-01T00:00:00Z2018 Nov/Dec2025-04-18T13:34:55.293Z2019-03-27T00:08:08ZS-EPMC62003672972737810.1097/JCN.0000000000000500