Survey of Stroke Caregiver Training provided by OT, PT, and SLP across Practice Settings
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
Aims: To learn how occupational therapists (OTs), physical therapists (PTs), and speech language pathologists (SLPs) in the United States perceive their ability to address the needs of caregivers of stroke survivors and the factors that impact the provision of effective training. Methods: A quantitative exploratory survey method was used. Surveys were mailed to therapists (1,000 per discipline) with 594 returned (OT = 216; PT = 219; SLP = 160). Descriptive data were analyzed for areas related to training that should be targeted for innovative programming. Results: Findings revealed that a variety of methods and structure were used to provide training in traditional role-related areas. Factors, which emerged that impacted caregiver training, were related to perceived caregiver attributes, coordination across the healthcare continuum, topics covered during training, and follow-up training postdischarge. Conclusions: Therapists must coordinate efforts to address needs of caregivers and advocate for the creation of best practices in caregiver training programs that address Affordable Care Act provisions and enable caregivers and stroke survivors to live well with a better quality of life.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| 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