Abstract 4366391: Compliance, ECG quality, and engagement with a smartphone app in patients with in-clinic compared with home-based, self-applied long-term continuous ECG patch monitors
Background: Long-term continuous ambulatory cardiac monitoring (LTCM) is a widely used diagnostic tool for arrhythmia detection, outperforming other modalities. COVID-19 accelerated adoption of home enrollment (HE) for LTCM, which includes mailing devices to patients for self-application and activation, highlighting the need for patient-centered solutions that optimize usability and comfort. HE was recently made available for a next-generation LTCM, which is smaller and lighter than prior designs, with a breathable adhesive, and has demonstrated superior performance. Aims: We assessed wear compliance and ECG signal quality for next generation LTCM devices applied in-clinic by a technician vs. HE. Additionally, we evaluated the impact of a smartphone app on wear compliance and ECG quality. Methods: U.S. adults prescribed the Zio Monitor (iRhythm Technologies, San Francisco, CA) for 14 days between December 2, 2024 - March 16, 2025, were included, corresponding to the initial availability of HE for Zio Monitor. Outcomes compared between in-clinic and HE devices included mean wear time, mean analyzable time (% free from artifact), early wear terminations (≤ 2 days), and actionable arrhythmia yield. Additional analyses evaluated outcomes among patients opting to use a smartphone app (MyZio), which provides onboarding, digitized instructions, and reminders for wear and return, vs. those who did not. Results: Of 304,735 LTCM devices worn, 276,142 (91.6%) were applied in-clinic and 28,593 (9.4%) were HE. Mean age was 61.5±17.9 years; 56.0% were female. App use was higher in the HE group (54% vs 17%, p < 0.0001). Mean wear time and % analyzable time were high and comparable for in-clinic and HE. Early wear terminations were infrequent in both groups and arrhythmia yield was comparable. App use was associated with lower % of early wear terminations and greater analyzable time in both groups (Table). Among prescribed devices, return compliance (activated, worn and returned ≤ 45 days) was higher in app users for both in-clinic (96.0% vs. 93.2%) and HE (90.4% vs. 71.1%) devices. Conclusion: Wear compliance and percent analyzable time for a next-generation LTCM were high and comparable when applied in-clinic by a technician vs. HE, indicating that HE achieves comparable arrhythmia detection while eliminating in-clinic visits and reducing provider burden. Patient apps as medical device adjuncts may further improve enrollment and compliance with home-based or ambulatory diagnostics.
Authors
- Mintu P. Turakhia (ORCID: https://orcid.org/0000-0001-8025-0904)
- Anthony J. Battisti (ORCID: https://orcid.org/0009-0008-7522-964X)
- Jeffrey M. Ashburner (ORCID: https://orcid.org/0000-0002-5600-3492)
- В.А. Фокин (ORCID: https://orcid.org/0000-0002-0539-7006)
- Relana Pinkerton
Institutions
- iRhythm (United States) (US)
- Stanford University (US)
Publication Details
- Journal
- Circulation
- Published
- 2025-11-03
- DOI
- https://doi.org/10.1161/circ.152.suppl_3.4366391
- Primary Topic
- Non-Invasive Vital Sign Monitoring
- Type
- article
- Field-Weighted Citation Impact
- 0.00