FEATURESDecision-making Factors Associated With Telehealth Adoption by Patients With Heart Failure at Home A Qualitative StudyWoo, Kyungmi PhD, RN, CCM; Dowding, Dawn W. PhD, RN, FAAN Author Information Author Affiliations: Columbia University School of Nursing (Dr Woo), New York, NY; and Division of Nursing, Midwifery and Social Work, University of Manchester (Dr Dowding), United Kingdom. This research was supported by the Reducing Health Disparities Through Informatics (T32 NR007969) and Comparative and Cost-Effectiveness Research (T32 NR014205) training grants through the National Institute of Nursing Research (NINR). The views expressed here are those of the authors and not those of the NINR. At the time of the study, Dr Dowding was a professor of nursing at Columbia University School of Nursing and Center for Home Care Policy and Research, Visiting Nurse Service of New York (VNSNY). The authors have disclosed that they have no significant relationships with, or financial interest in, any commercial companies pertaining to this article. Corresponding author: Kyungmi Woo, PhD, RN, CCM, Columbia University School of Nursing, 560 W 168th St, New York, NY 10032 ([email protected]). CIN: Computers, Informatics, Nursing: April 2020 - Volume 38 - Issue 4 - p 204-214 doi: 10.1097/CIN.0000000000000589 Buy Metrics Abstract Telehealth has been reported to be effective in helping patients with heart failure manage their symptoms at home. Despite this, the adoption rate for telehealth among home care patients with heart failure is low, and there is limited research on reasons for this. This study was undertaken to explore factors associated with patients' decisions to adopt telehealth at home. A qualitative descriptive study underpinned by the Unified Theory of Acceptance Use of Technology model was conducted using semi-structured telephone interviews with patients with heart failure (N = 20) referred for telehealth. Interviews were analyzed using a mixture of deductive and inductive coding. Among the theoretical model elements, the perceived usefulness of the technology (performance expectancy), the availability of clinical/technical support (facilitating conditions), and the opinion of other individuals important to the patient (social influence) were associated with telehealth initiation. However, the ease of use (effort expectancy) was not an associated factor. Other factors such as experience, knowledge, confidence, satisfaction, and attitudes were also associated with the decision. Identification of factors related to higher telehealth initiation rates can be used to inform individualized care planning by nurses. Knowledge of such associations can inform referral process to improve the efficiency and utilization of telehealth. Copyright © 2019 Wolters Kluwer Health, Inc. All rights reserved.