Use of Remote Monitoring of Newly Implanted Cardioverter-Defibrillators

Author:

Akar Joseph G.1,Bao Haikun1,Jones Paul1,Wang Yongfei1,Chaudhry Sarwat I.1,Varosy Paul1,Masoudi Frederick A.1,Stein Kenneth1,Saxon Leslie A.1,Curtis Jeptha P.1

Affiliation:

1. From the Section of Cardiovascular Medicine, Department of Medicine, Yale University School of Medicine and Center of Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, CT (J.G.A., H.B., Y.W., S.I.C., J.P.C.); Boston Scientific Corporation, St. Paul, MN (P.J., K.S.); Division of Cardiology, University of Colorado Anschutz Medical Campus, Aurora (P.V., F.A.M.); and Division of Cardiovascular Medicine, University of Southern California, Los Angeles (L.A.S.).

Abstract

Background— Current guidelines recommend using remote patient monitoring (RPM) for implantable cardioverter-defibrillators, but the patterns of adoption of this technology have not been described. Successful use of RPM depends on (1) the enrollment of the patient into an RPM system and (2) subsequent activation of RPM by the enrolled patient. We examined RPM enrollment and activation rates and the patient, physician, and institutional determinants of RPM use. Methods and Results— Information about the use of RPM-capable devices was obtained from the Boston Scientific Corporation ALTITUDE program and linked to the National Cardiovascular Data Registry ICD Registry. Patients were first categorized as RPM-enrolled and RPM-not enrolled, and the RPM-enrolled patients were further categorized into RPM-active and RPM-inactive groups based on whether they transmitted RPM data. Variables associated with RPM enrollment and activation were identified with the use of multivariable logistic regression. Among 39 158 patients with newly implanted RPM-capable devices, 62% (n=24 113) were RPM-enrolled. Of those enrolled, 76% (n=18 289, or 47% of the entire cohort) activated their device. RPM enrollment was highly variable among institutions. The hospital-specific median odds ratio for RPM enrollment was 3.43, signifying that physician or institutional factors are associated with RPM enrollment. In contrast, the hospital-specific median odds ratio for RPM activation was 1.69. Age, race, health insurance, geographic location, and health-related factors were similarly associated with both RPM enrollment and activation. Conclusions— RPM technology is used in less than half of eligible patients. Lack of enrollment into RPM systems is the major cause of underutilization, and this primarily relates to the local practice environment.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Physiology (medical),Cardiology and Cardiovascular Medicine

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