MétaCan
Menu
Back to cohort
Record W4403673274 · doi:10.1016/j.hroo.2026.06.008

Impact of Remote Monitoring on Clinical Outcomes in Defibrillator Patients During the COVID-19 Pandemic: An Interrupted Time Series Analysis

2024· preprint· en· W4403673274 on OpenAlexaffabout
Barbara Vitória dos Santos Torres, David Vickers, Tara A. Whitten, Andrew Mardell, Glen Sumner

Bibliographic record

VenueHeart Rhythm O2 · 2024
Typepreprint
Languageen
FieldEngineering
TopicNon-Invasive Vital Sign Monitoring
Canadian institutionsLibin Cardiovascular Institute of AlbertaAlberta Health ServicesAlberta HealthUniversity of Calgary
Fundersnot available
KeywordsPandemicCoronavirus disease 2019 (COVID-19)Interrupted Time Series Analysis2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Interrupted time seriesMedicineTime seriesMedical emergencySeries (stratigraphy)Emergency medicineComputer scienceVirologyStatisticsInternal medicineMathematicsOutbreakPsychological interventionMachine learning

Abstract

fetched live from OpenAlex

Abstract Background Remote monitoring (RM) has become the standard of care in many Cardiac Implantable Electronic Device (CIED) clinics across North America and Europe. Some clinics are even adopting an alert-based, RM-only strategy for select patients. However, it remains unclear whether RM, compared to usual non-remote care, impacts the total number of CIED clinic visits, emergency department visits, hospitalizations, and all-cause mortality. Because such outcomes and their relationship to RM may be magnified in the presence of a global COVID-19 pandemic, we aimed to perform an interrupted time series analysis to observe trends in these outcomes in response to the declaration of the COVID-19 pandemic in patients with implantable cardioverter-defibrillators (ICD). Methods In this retrospective study, we utilized existing electronic provincial databases maintained by Alberta Health Services (AHS) and Alberta Health (AH) to determine CIED visits, emergency room visits, cardiovascular (CV) hospitalizations, and all-cause mortality. We performed Interrupted Time Series (ITS) analysis to compare outcome trends in ICD-patients with and without RM in Alberta, both during the COVID-19 pandemic and the pre-pandemic period. We defined the time-period of the pandemic as March 17, 2020, to July 17, 2021. Pre-pandemic was defined as March 17, 2018, to March 16, 2020. We compared best model fits using the Akaike Information Criterion (AIC), selecting the model with the lowest AIC for each outcome. The best-fitting models were plotted. Outcomes between RM and non-RM groups were compared using regression models, with differences reported using 95% confidence intervals. Results The CIED population consisted of 6,183 ICD patients from March 17, 2018, to July 17, 2021. Of these, 2,989 (48.3%) had access to RM. Our study found that access to virtual consultations sharply increased at the onset of the pandemic in both cohorts, though this trend was significantly higher in the RM group. Conversely, a sharp decline in in-person visits was observed for RM patients. Compared to those without RM, patients with RM showed no significant differences in all-cause mortality, hospitalizations, or emergency room visits, and these trends were not impacted by the COVID-19 pandemic. Conclusion In ICD patients with and without RM, the number of virtual consultations increased while in-person visits decreased during the pandemic. However, no significant changes in the trends of cardiovascular hospitalizations, emergency room visits, or all-cause mortality were observed in either group during this period. This suggests that RM did not significantly impact key health outcomes for ICD-patients during the pandemic in Alberta.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.070
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.055
GPT teacher head0.371
Teacher spread0.317 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes2
Has abstractyes

Explore more

Same venueHeart Rhythm O2Same topicNon-Invasive Vital Sign MonitoringFrench-language works237,207