JUMPSTART: evaluation of an early mobilization program following transcatheter aortic valve replacement
Bibliographic record
Abstract
BACKGROUND: Patients with aortic stenosis undergoing a transcatheter aortic valve replacement (TAVR) are typically discharged from hospital the next day, leaving little time to support their mobilization needs. Therefore, to improve the early mobilization of post-TAVR patients, we investigated the adoption and acceptability of a self-directed, tailored and home-based exercise program (JUMPSTART), which consists of four exercise modules, available in virtual and paper formats. METHODS: This prospective, observational, non-randomized and comparative study was conducted at one regional cardiac centre in Ontario, Canada. The development of the JUMPSTART program was informed by the Knowledge-to-Action Cycle and the choice of study outcomes were guided by the RE-AIM Framework. Program adoption and acceptability were captured through two follow-up surveys, 14-days and three-months post-TAVR; survey questions were informed by the Consolidated Framework for Implementation Research. The target program adoption rate was 70% by three-months post-TAVR. Impact of program participation on quality-of-life scores, and study participants' cardiac rehabilitation attendance, were also assessed. RESULTS: There were 144 study participants. Survey response rates were 86% at 14-days post-TAVR, and 78% at three-months post-TAVR. The program adoption rate was 75% while the cardiac rehabilitation attendance rate was 30%. Approximately 70% of participants preferred the paper-based program format. The technological requirement was the most common barrier to engaging with virtual formats. Most (70%) rated the exercises as being the right level of difficulty. There were no reports of major health or safety concerns while exercising. Quality-of-life scores significantly increased from baseline to three-months post-TAVR; however, this could not be attributed to frequency of program participation. Furthermore, 73% of program participants felt that their recovery was improved because of their participation in the program, and 96% reported that they would recommend it to others. The study team regularly reviewed preliminary findings and took action to improve the program and the implementation process. CONCLUSIONS: Participants were satisfied with the JUMPSTART program, which will continue to be offered to post-TAVR patients. Despite the increasing use of virtual technologies, most of this patient population prefers paper-based resources. Future planning will involve developing additional modules and exploring ways to increase program adoption, as well as cardiac rehabilitation attendance. CLINICAL TRIAL NUMBER: Not applicable.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.010 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".