Rehabilitation Therapy and Multimorbidity: A Retrospective Cohort Study
Bibliographic record
Abstract
Aims Home care rehabilitation therapists can address the functional health needs of those with multimorbidity. This study described individuals with multimorbidity receiving home care rehabilitation therapy and examined the relationship between receipt of rehabilitation therapy and hospital utilization.Methods The cohort included long-stay home care clients experiencing multimorbidity who were discharged from an inpatient rehabilitation setting (N = 5,234) between 2007 and 2015. Multivariable logistic regression was used to examine the association between receipt of rehabilitation therapy and hospitalization.Results Nearly 40% of this cohort had 5+ chronic conditions. Those receiving only rehabilitation therapy were less likely to be readmitted to the hospital (OR = 0.68; 95% CI: 0.51–0.92), and less likely to use emergency services (OR = 0.80; 95% CI: 0.66–0.97) at the 3-month timeframe. Similar trends were observed at the 12-month timeframe.Conclusions Individuals with multimorbidity have complex health needs and home care rehabilitation therapists aid in sustained discharges and influence subsequent health utilization.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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 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".