Characteristics and healthcare utilization of COVID-19 rehabilitation patients during the first and second waves of the pandemic in Toronto, Canada
Bibliographic record
Abstract
The objective of this study is to describe the healthcare utilization, and clinical and sociodemographic features of a cohort of 74 coronavirus disease 2019 (COVID-19) patients admitted to a tertiary rehabilitation hospital in Toronto, Canada. A retrospective chart review was performed using 74 charts from patients admitted to a COVID-19 rehabilitation unit between 11 April 2020 and 30 April 2021. Measures of central tendency, SDs, interquartile ranges, frequencies, and proportions were calculated to analyze clinical and sociodemographic data. A total of 74 patients were included in this study, including 33 males and 41 females. The mean age was 72.8 years, with Wave 1 patients being younger than Wave 2 patients. Sixty-six percent of total patients experienced hypertension. Mean functional independence measure score across both waves was 78 at admission and 100 at discharge. Mean length of stay was 14.6 days in Wave 1 and 18.8 days in Wave 2. This study represents some of the first data on the characteristics and outcomes of COVID-19 patients admitted to inpatient rehabilitation in Toronto, Canada across the initial waves of the COVID-19 pandemic.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".