Exemplary post-discharge stroke rehabilitation programs: A multiple case study
Bibliographic record
Abstract
OBJECTIVE: The objective of this study was to identify essential aspects of exemplary post-discharge stroke rehabilitation as perceived by patients, care partners, rehabilitation providers, and administrators. DESIGN: We carried out an exploratory qualitative, multiple case study. Stroke network representatives from four regions of the province of Ontario, Canada each nominated one post-discharge rehabilitation program they felt was exemplary. SETTING: The programs included: a mixed home- and clinic-based service; a home-based service; a clinic-based service with a stroke community navigator and; an out-patient clinic-based service. PARTICIPANTS: Participants included 32 patients, 16 of their care partners, 23 providers, and 5 administrators. METHODS: We carried out semi-structured qualitative interviews with patients and care partners, focus groups with providers, and semi-structured interviews with administrators. Health records of patient participants were reviewed. Using an interpretivist-informed inductive content analysis, we developed overarching categories and subcategories first for each program and then across programs. RESULTS: Across four regions with differing types of programs, exemplary care was characterized by three essential components: stroke and stroke rehabilitation knowledge, relationship built through personalized respectful care, and a commitment to high quality, person-centered care. CONCLUSION: Exemplary post-discharge care included knowledge regarding identification and treatment of stroke-related impairment, that is, information found in best practice guidelines. However, expertise related to building relationship through providing personalized respectful care, within a mutually supportive, improvement-oriented team was also essential. Additionally, administrators played a crucial role in ensuring continued ability to deliver exemplary care.
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.
How this classification was reachedexpand
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 | 0.005 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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 teacher head, 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".