Continual Long-Term Physiotherapy After Stroke: A Health Technology Assessment.
Bibliographic record
Abstract
BACKGROUND: Stroke is a serious health issue in which an interruption in blood flow to any part of the brain damages brain cells. About 83% of people survive with substantial morbidity after their first stroke. We conducted a health technology assessment of continual long-term physiotherapy for people with a diagnosis of stroke, which included an evaluation of effectiveness, safety, cost-effectiveness, the budget impact of publicly funding continual long-term physiotherapy for people with a diagnosis of stroke, and patient preferences and values. METHODS: We performed a systematic literature search of the clinical evidence. We also performed a systematic literature search of the economic evidence. We did not conduct a primary economic evaluation because there was insufficient clinical evidence. We also analyzed the budget impact of publicly funding continual long-term physiotherapy after stroke in Ontario. To contextualize the potential value of continual long-term physiotherapy after stroke, we spoke with people who had been diagnosed with stroke, as well as their caregivers. RESULTS: We did not find any published studies that met the specific clinical inclusion criteria. We did not identify any studies that compared the cost-effectiveness of continual long-term versus short-term physiotherapy after stroke. The budget impact of publicly funding continual long-term physiotherapy after stroke in Ontario over the next 5 years ranges from $445,000 in year 1 at an uptake rate of 8% to $888,000 in year 5 at an uptake rate of 16%. The people who had been diagnosed with stroke with whom we spoke reported that they had benefitted from continual long-term physiotherapy. CONCLUSIONS: We did not identify studies that addressed the specific research question. Based on the clinical evidence review, we are unable to determine the benefits of continual long-term compared with short-term physiotherapy after stroke. The cost-effectiveness of continual long-term physiotherapy after stroke in Ontario is unknown. We estimate that publicly funding continual long-term physiotherapy after stroke in Ontario would result in additional costs of between $445,000 and $888,000 annually over the next 5 years. Patients and caregivers who we spoke with felt that patients who have experienced a stroke should be able to continue with physiotherapy.
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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 | 0.036 | 0.117 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.009 |
| Bibliometrics | 0.016 | 0.018 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.003 | 0.003 |
| 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".