Age, Sex, and Remote Monitoring Differences in Device Acceptance for Patients With Implanted Cardioverter Defibrillators in Canada
Why this work is in the frame
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Bibliographic record
Abstract
BackgroundImplantable cardioverter defibrillator (ICD) acceptance and shock anxiety are issues that clinicians should address to improve quality of life among device recipients. Previous findings have indicated that younger patients experience poorer device adjustment. The purpose of this study was to examine age and ICD-specific quality-of-life outcomes in a large sample of Canadian ICD patients. We tested the hypothesis that patient age is related to device acceptance and shock anxiety in an Alberta (Canada) ICD population.MethodsThe Florida Patient Acceptance Survey (FPAS) and Florida Shock Acceptance Survey (FSAS) were completed by ICD patients attending the Cardiac Implantable Electrical Device Clinics in Alberta. The population was dichotomized into those aged ≤ 65 years (younger) and those aged > 65 years (older). Sex, ICD shock history, and remote monitoring use were also examined.ResultsSurveys were completed by 126 younger (53 ± 11 years; 79% male) and 216 older (74 ± 6 years; 85% male) patients. Younger, compared with older, patients had greater device-related distress (P < 0.001) and more body-image concerns (P < 0.001), but no differences in return to function or positive appraisal. Younger patients reported lower total device acceptance (P = 0.001) and greater total shock anxiety (P < 0.001) compared with older patients.ConclusionsICD patients aged ≤ 65 years reported poorer device acceptance and greater shock anxiety than older patients. Younger patients may require targeted interventions addressing adjustment to the ICD, and impact of the ICD on body image. Moreover, education about the relatively low probability of shocks may alleviate shock anxiety in younger patients.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it