How do hospital administrators perceive cardiac rehabilitation in a publicly-funded health care system?
Bibliographic record
Abstract
BACKGROUND: Patient and provider-related factors affecting access to cardiac rehabilitation (CR) have been extensively studied, but health-system administration factors have not. The objectives of this study were to investigate hospital administrators' (HA) awareness and knowledge of cardiac rehabilitation (CR), perceptions regarding resources for and benefit of CR, and attitudes toward and implementation of inpatient transition planning for outpatient CR. METHODS: A cross-sectional and observational design was used. A survey was administered to 679 HAs through Canadian and Ontario databases. A descriptive examination was performed, and differences in HAs' perceptions by role, institution type and presence of within-institution CR were compared using t-tests. RESULTS: 195 (28.7%) Canadian HAs completed the survey. Respondents reported good knowledge of what CR entails (mean=3.42±1.15/5). Awareness of the closest site was lower among HAs working in community versus academic institutions (3.88±1.24 vs. 4.34±0.90/5 respectively; p=.01). HAs in non-executive roles (4.77±0.46/5) perceived greater CR importance for patients' care than executives (4.52±0.57; p=.001). HAs perceived CR programs should be situated in both hospitals and community settings (n=134, 71.7%). CONCLUSIONS: HAs value CR as part of patients' care, and are supportive of greater CR provision. Those working in community settings and executives may not be as aware of, or less-likely to value, CR services. CR leaders from academic institutions might consider liaising with community hospitals to raise awareness of CR benefits, and advocate for it with the executives in their home institutions.
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 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 | 0.003 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".