Descriptive retrospective cross-sectional study of rehabilitation care for poststroke users in Québec during the COVID-19 pandemic
Bibliographic record
Abstract
OBJECTIVES: During the COVID-19 pandemic, designated rehabilitation centres were established in the province of Québec, where strict sociosanitary measures such as isolation and mandatory personal protection equipment requirements were followed. This study aimed to describe the impact of the pandemic on rehabilitation care indicators for poststroke users with (COV+) and without (COV-) COVID-19 infection in designated rehabilitation centres compared with those admitted in the previous year (pre-COV). METHOD: A retrospective analysis of 292 medical files was performed in 3 rehabilitation centres. Demographic characteristics were collected, as well as indicators routinely collected in acute care and rehabilitation such as length of stay (LOS), the Functional Independence Measure and a number of physical/occupational therapy (PT/OT) sessions. Non-parametric statistical tests were used to compare variables among the three groups. RESULTS: COV+ users were older than COV- and pre-COV ones (p<0.01) and were more disabled on admission to a rehabilitation centre (p<0.01). They also exhibited longer LOS in acute care prior to rehabilitation (p<0.001) and were more often rehospitalised (p<0.002) during the course of their stay in the rehabilitation centre. Despite longer rehabilitation stays (p<0.001) and more PT/OT sessions, COV+ users remained more disabled at discharge (p<0.002). COV- users showed rehabilitation care indicators resembling the ones of pre-COV despite spending less time in rehabilitation. CONCLUSIONS: Patients who had a stroke infected with COVID-19 exhibited greater vulnerability on admission to rehabilitation. They required more care and services during their rehabilitation period. However, this additional support did not enable them to achieve the same level of recovery as COV- and pre-COV users. This underscores the added impact of the disease on already impaired patients and highlights the specific needs of COV+ users undergoing rehabilitation.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".