Current state of online education for stroke survivors and family caregivers
Bibliographic record
Abstract
BackgroundProvision of online patient education resources are increasing internationally as internet use increases among adults and seniors.Option of accessing information online and secure email to ask questions may improve coping post-discharge in stroke patients.Information provision should consider both individual behaviour change (to bridge the knowledge to action gap) and systems level change (bridge the process to outcome gap).Need to provide the right information at the right time and in the right format.Use of technology is intended to simplify user experience and facilitate health behavior change - social media and audio-visual messaging to motivate change and modify expectations.MethodsScoping review of major English language international online stroke support websites from December 18-19, 2017.Summarize key content format and accessibility.Results6 websites providing patient/family information were identified and briefly reviewed from UK, US, Australia and Canada.Key TakeawaysMost websites have accessibility policies in place clearly stated on their websites to comply with WCAG 2.0 (web content and accessibility guidelines 2.0).Online forums/support groups were consistently present.Room for improvement in use of multimedia and alternate-to-print material in providing education.
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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 | 0.005 | 0.025 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.021 | 0.003 |
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".