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Record W3124520711 · doi:10.9778/cmajo.20200041

Remote-only monitoring for patients with cardiac implantable electronic devices: a before-and-after pilot study

2021· article· en· W3124520711 on OpenAlexaffvenue
John A. Sapp, Anne M. Gillis, Amir AbdelWahab, Isabelle Nault, Pablo B. Nery, Jeff S. Healey, Satish R. Raj, Evan Lockwood, Laurence D. Sterns, Samuel F. Sears, George A. Wells, Raymond Yee, François Philippon, Anthony Tang, Ratika Parkash

Bibliographic record

VenueCMAJ Open · 2021
Typearticle
Languageen
FieldMedicine
TopicCardiac pacing and defibrillation studies
Canadian institutionsInstitut universitaire de cardiologie et de pneumologie de QuébecHealth Sciences CentreLondon Health Sciences CentreMontreal Heart InstituteUniversity of OttawaHamilton Health SciencesDalhousie UniversityUniversity of CalgaryIsland Health
FundersZOLL Medical CorporationPfizer
KeywordsMedicineMedical emergencyEmergency medicineAdverse effectQuality of life (healthcare)Implantable cardioverter-defibrillatorInternal medicineNursing

Abstract

fetched live from OpenAlex

<h3>Background:</h3> Outcomes for patients with cardiac implantable electronic devices are better when follow-up incorporates remote monitoring technology in addition to in-clinic visits. For patients with implantable devices, we sought to determine the feasibility, safety and associated health care utilization of remote-only follow-up, along with its effects on patients’ quality of life and costs. <h3>Methods:</h3> This multicentre before-and-after pilot study involved patients with new or existing pacemakers or implantable cardioverter defibrillators. The “before” phase of the study spanned the period October 2015 to February 2017; the “after” phase spanned the period October 2016 to February 2018. The exposure was remote-only follow-up in combination with Remote View, a service that facilitates access to device data, allowing device settings to be viewed remotely to facilitate remote programming. Outcomes at 12 months were feasibility (adherence to remote monitoring), safety (rate of adverse events) and health care utilization (remote and in-clinic appointments). We also assessed quality of life, using 3 validated scales, and costs, taking into account both health care system and patient costs. <h3>Results:</h3> A total of 176 patients were enrolled. Adherence (defined as at least 1 successful remote transmission during follow-up) was 87% over a mean follow-up of 11.7 (standard deviation 2.2) months. There was a reduction in in-clinic visits at specialized sites among patients with both implantable defibrillators (26 v. 5, <i>p</i> &lt; 0.001, <i>n</i> = 48) and pacemakers (42 v. 10, <i>p</i> &lt; 0.001, <i>n</i> = 51). There was no significant change in visits to community sites for patients with defibrillators (13 v. 17, <i>p</i> = 0.3, <i>n</i> = 48). The composite rate of death, stroke, cardiovascular hospitalization and device-related hospitalization was 7% (<i>n</i> = 164). No adverse events were linked to the intervention. There was no change in quality-of-life scales between baseline and 12 months. Health care costs were reduced by 31% for patients with defibrillators and by 44% for those with pacemakers. <h3>Interpretation:</h3> This pilot study showed the feasibility of remote-only follow-up, with no increase in adverse clinical outcomes and no effect on quality of life, but with reductions in costs and health care utilization. These results support progression to a larger-scale study of whether superior effectiveness and reduced cost can be achieved, with preservation of safety, through use of remote-only follow-up. <h3>Trial registration:</h3> ClinicalTrials.gov, no. NCT02585817

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.439

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.024
GPT teacher head0.311
Teacher spread0.287 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations10
Published2021
Admission routes2
Has abstractyes

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