Patient Participation Clinical Trial
Official title:
Electronic Patient Notification of Remote Implantable Cardioverter-Defibrillator (ICD) Monitoring Data: Impact of Patient Engagement on Outcomes in the Merlin.Net™ System
Remote monitoring of implantable cardioverter-defibrillators (ICDs) for patients has led to efficient, safe, and satisfying analysis of their device and cardiac status; resulting in an overall improvement in the quality of care for such patients. Despite the efficacy of remote monitoring of ICDs and the satisfaction of patients and providers with the process, there is a desire from patients to have access and view ability of the data their ICD is transmitting. However, methods for making ICD device data directly available to the patients are not currently in place. This study aims to elicit the impact of standardized remote monitoring ICD data to patients through an electronic personal health record (ePHR) on patient engagement, healthcare utilization, and patient-provider communication. For this study, patients with an ICD manufactured by St. Jude Medical and that are undergoing remote monitoring through the remote management system, Merlin.net™, will receive a standardized format of their electronic remote monitoring ICD data in MyChart, the ePHR used at Parkview Health. The standard format for the electronic remote monitoring ICD data, as it is delivered to the patient, will be termed the ICD Patient Notification Summary. Additionally, provider attitudes and perceptions regarding the value of the Patient Notification Summary, its impact on clinic workflow, and patient-provider communication will be collected.
Currently, patients receive a letter by postal mail from their physician's office with a
statement about their ICD status. The St. Jude Medical ICD data is managed by the Merlin.net™
remote monitoring system and maintained in the database with periodic transfer to the
healthcare providers EHR system.
This is the first large study that will evaluate the impact of transferring information from
the ICD manufacturer's remote monitoring system directly into a patient's ePHR for the
purpose of making select information readily available to patients in the form of a report,
called the ICD Patient Notification Summary.
The ICD Patient Notification Summary will be transmitted to the healthcare providers' EHR
system (Epic) from Merlin.net™ as part of the data flow pathway to the patients' ePHR
(MyChart). This will ensure that the Arrhythmia Diagnostic Center (ADC) clinic and other
healthcare providers will be able to view the same information that the patients will
receive.
Baseline:
Patients from the intervention group and control groups will answer a baseline survey. The
baseline survey will assess socio-demographic characteristics, patient engagement, and
patient satisfaction with the current standard of care as well as patient perceptions about
receiving remote monitoring ICD data in their ePHR. The survey will be administered either
paper-based or online, using a secure online survey program, Survey Monkey. Patient
engagement will be assessed using the short form Patient Activation Measure (PAM) survey
copyrighted by Insignia Health.
The Patient Activation Measure (PAM) is a validated survey tool developed by Judith Hibbard,
PhD, MPH of the University of Oregon, which assesses the degree a patient acts as an active
agent in their own health care. PAM is associated with improved health outcomes6.
Follow-up:
Patients will respond to two follow up surveys in approximately 3 months and 6 months from
the baseline survey. The follow up surveys will assess patient engagement, patient
satisfaction and perceptions with the ICD Patient Notification Summary or current standard of
care as well as technology acceptance, depending on the group randomization. Technology
acceptance will be assessed using the Technology Acceptance Model as a framework and will
explore patient attitudes regarding ease of use, usefulness and intentions to use the ePHR
and ICD Patient Notification Summary.
The Technology Acceptance Model is a commonly used model, originally developed by Fred Davis
and Richard Bagozzi, which predicts technology acceptance based on the user's perceived
usefulness and perceived ease of use of the technology for a specific purpose 7,8.
Data Collection:
Chart review will be performed to collect past and current data regarding patient's
socio-demographic characteristics, comorbidities, laboratory and interventions, and
healthcare utilization. These data points will help provide background and descriptive
information to supplement the other components of the study. ICD-related data and events as
well as measurement and classification of clinic calls will be assessed starting six months
prior to the study period and continuing throughout the study period. The amount and type of
healthcare utilization in relation to cardiac care will be collected. Data related to the use
of MyChart will also be collected.
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