Patient‐Reported Outcomes and Patient‐Reported Experience of Patients With Atrial Fibrillation in the IMPACT‐AF Clinical Trial
Bibliographic record
Abstract
Background The IMPACT-AF (Integrated Management Program Advancing Community Treatment of Atrial Fibrillation) trial is a prospective, randomized, cluster design trial comparing atrial fibrillation management with a computerized clinical decision support system with usual care (control) in the primary care setting of Nova Scotia, Canada. The objective of this analysis was to assess and compare patient-reported health-related quality of life and patient-reported experience with atrial fibrillation care between clinical decision support and control groups. Methods and Results Health-related quality of life was measured using the EuroQol 5-dimensional 5-level scale, whereas patient-reported experience was assessed using a self-administered satisfaction questionnaire, both assessed at baseline and 12 months. Health utilities were calculated using the Canadian EuroQol 5-dimensional 5-level value set. Descriptive statistics and generalized estimating equations were used to compare between groups. Among 1145 patients enrolled in the trial, 717 had complete EuroQol 5-dimensional 5-level data at baseline. The mean age of patients was 73.53 years, and 61.87% were men. Mean utilities at baseline were 0.809 (SD, 0.157) and 0.814 (SD, 0.157) for clinical decision support and control groups, respectively. At baseline, most patients in both groups reported being "very satisfied" with the care received for their atrial fibrillation. There were no statistically significant differences in utility scores or patient satisfaction between groups at 12 months. Conclusions Health-related quality of life of patients remained stable over 12 months, and there was no significant difference in patient satisfaction or utility scores between clinical decision support and control groups. Registration information clinicaltrials.gov. Identifier: NCT01927367.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".