Evaluation of patient-centered rehabilitation model targeting older persons with a hip fracture, including those with cognitive impairment
Bibliographic record
Abstract
BACKGROUND: The purpose of this study was to evaluate outcomes for older persons post-hip fracture repair, including those with cognitive impairment (CI), following implementation of a novel model of care - the Patient-Centered Rehabilitation Model including persons with CI (PCRM-CI). The PCRM-CI is an interdisciplinary rehabilitation program that incorporates education for healthcare professionals (HCPs), including nurses, which is focused on geriatric care including management of dementia and delirium, support for HCPs from an Advanced Practice Nurse, and family support and education. Primary outcome measures were mobility gain from admission to discharge and whether or not patients returned home post-discharge. METHODS: The PCRM-CI intervention was evaluated using a quasi-experimental design, following implementation in two community hospital inpatient rehabilitation units. One hundred forty-nine patients aged 65 and older participated as patients in the usual care (76) or PCRM-CI intervention (73) groups. Patient mobility was assessed at admission and discharge by the Functional Independence Measure Motor Subscale (FIMM); the difference in mobility scores was defined as mobility gain. Patient discharge location was also captured to determine whether or not patients returned home from inpatient rehabilitation. RESULTS: No difference in mobility gain was found between the usual care and PCRM-CI groups as measured by the FIMM. Patients in the intervention group were more likely to return home post-discharge than those in the usual care group (p = 0.02). CONCLUSIONS: Results of the PCRM-CI evaluation suggest that older adults with CI can successfully be rehabilitated post-hip fracture repair using this novel, interdisciplinary rehabilitation program.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".