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. 2022 Jun;38(6):736-744.
doi: 10.1016/j.cjca.2022.01.022. Epub 2022 Jan 29.

Clinical and Economic Outcomes Associated With Remote Monitoring for Cardiac Implantable Electronic Devices: A Population-Based Analysis

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Clinical and Economic Outcomes Associated With Remote Monitoring for Cardiac Implantable Electronic Devices: A Population-Based Analysis

Derek S Chew et al. Can J Cardiol. 2022 Jun.

Abstract

Background: Despite expert recommendations advocating use of remote monitoring (RM) of cardiac implantable electronic devices, implementation in routine clinical practice remains modest due to inconsistent funding policies across health systems and uncertainty regarding the efficacy of RM to reduce adverse cardiovascular outcomes.

Methods: We conducted a population-based cohort study of patients with de novo implantable cardioverter-defibrillators (ICDs) with or without cardiac resynchronization therapy (CRT-D), using administrative health data in Alberta, Canada, from 2010 to 2016. We assessed RM status as a predictor of all-cause mortality and cardiovascular (CV) hospitalization using Cox proportional hazards modelling, and direct health costs by generalized linear models. From this real-world data, we then constructed a decision-analytic Markov model to estimate the projected costs and benefits associated with RM compared with in-clinic visit follow-up alone.

Results: Among 2799 ICD and CRT-D patients, 1830 (63.4%) were followed by RM for a mean follow-up of 50.3 months. After adjustment for age, sex, and comorbidities, RM was associated with a lower risk of death (hazard ratio [HR] 0.43, 95% confidence interval [CI] 0.36-0.52; P < 0.001) and CV hospitalization (HR 0.76, 95% CI 0.64-0.91; P = 0.002). In the economic model, cost savings were observed over 5 years with an estimated savings of $12,195 per person (95% CI -$21,818 to -$4,790). The model estimated a cost-savings associated with RM strategy in 99% of simulations.

Conclusions: These population data support more widespread implementation of RM technology to facilitate better patient outcomes and improve health system efficiency.

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