Cardiac Rehabilitation in Canada During COVID-19
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Cardiac rehabilitation programs (CRPs) had to change quickly in response to a shift in clinical priorities related to to the coronavirus disease 2019 (COVID-19). Yet, no study has examined the effect of COVID-19 on CRPs and if there has been an adequate transition to alternative programming. METHODS: To examine the status of CRPs during the COVID-19 pandemic, a web-based questionnaire was completed by CRP managers from April 23rd to May 14th, 2020. RESULTS: < 0.001. There was a significant reduction in patients with cognitive/communication/mobility deficits who were eligible to participate during the COVID-19 pandemic. Of respondents, 57%-82.6% reported safety concerns related to prescribing exercise to medically high-risk and vulnerable populations. CRPs transitioned from group-based to one-to-one delivery models->80% by phone and/or e-mail. Any tele-rehabilitation (one-to-one/group) was also used by 32.7% and 43.5% of CRPs to deliver exercise and education, respectively (mostly one-to-one). Resource barriers cited by open and closed CRPs were related to technology-no tele-rehabilitation, lack of equipment and patient access (35% of all barriers)-and 25.3% of barriers were owing to greater demands on staff time. CONCLUSIONS: Within 2-months of COVID-19 being declared a pandemic, 41.2% of CRPs were closed and almost half of employees redeployed. Less time-efficient one-to-one models of remote care, mostly by phone/e-mail, were adopted. Vulnerable populations were disproportionately affected, becoming ineligible owing to safety concerns. Strategies to open closed CRPs, admission of high-risk/vulnerable populations, and offering of group-based tele-rehabilitation should be a national priority.
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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) | 0.000 | 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