Evidence supporting the use of a subjective staff evaluation to assess the benefit of rehabilitation in hemodialysis patients undergoing inpatient rehabilitation
Bibliographic record
Abstract
BACKGROUND: We questioned whether the introduction of a subjective evaluation of patient-specific goals, could be used as a valid method to assess the effectiveness of inpatient rehabilitation. METHODS: In this prospective cohort study, all admissions to the UHN hemodialysis rehabilitation service between April 2013 and August 2016 were included. We introduced a system of subjective assessment, performed by the team at the time of admission and discharge. We evaluated Functional Independence Measure (FIM®) score and KDQoL for objective measures of physical function and patient-reported quality of life. RESULTS: A total of 201 patients were included. The median FIM score at discharge correlated well with the subjective staff evaluation. FIM score changes for those with evaluations for Success, Partial success, and Not Successful were 28 [interquartile range (IQR) 20-34], 24 [IQR18-31], 16 [IQR 11-34] respectively. The median PCS at discharge for those deemed to have Success was 37.4 [IQR31.0, 44.7], and for those with Partial success & Not Successful 28.8 [IQR 22.4, 39.2]. There was no correlation with MCS scores (55.2 [IQR 51.2, 60.2], 58.4 [IQR 50.1, 63.1] respectively). CONCLUSIONS: These results suggest the subjective staff evaluation is a brief but valid assessment of patient outcome for dialysis patients undergoing inpatient rehabilitation.
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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 | 0.002 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".