Clinical Utility of Patient-Reported Outcome Measures Used for Tendon and Nerve Transfers for Tetraplegia in New Zealand
Bibliographic record
Abstract
Purpose: This study determines the clinical utility of patient-reported outcome measures used to measure outcomes of upper extremity (UE) reconstructive procedures in individuals with tetraplegia. The patient-reported outcome measures are the Canadian Occupational Performance Measure, the Capabilities of Upper Extremity Questionnaire (CUE-Q), and the Personal Wellbeing Index. Methods: Retrospective data of 43 individuals with spinal cord injury (SCI) levels C4-C7 tetraplegia, and American Spinal Injury Association Impairment Scale grades A-D who had upper limb reconstructive surgery were reviewed. Participants were grouped according to their SCI level and resultant surgical procedures into higher SCI severity and lower SCI severity groups. Results: The mean age of participants was 26.3 years (SD 13.4; range 13-64 years). The higher-severity SCI group required elbow and hand reconstruction surgery, whereas the lower-severity group only required hand reconstruction surgery. Important differences in Canadian Occupational Performance Measure priorities were identified between the higher and lower SCI severity groups. Question redundancy was evident with the CUE-Q. The self-report Personal Wellbeing Index captures the possible impacts of improved UE function on an individual's perceived sense of personal wellbeing. Conclusions: In this patient-reported outcome measure analysis, we found that the level of impairment influences patient priorities. Functional measures ought to consider UE impairment and personal wellbeing as a construct in this population, given the demands of surgery. Type of Study/Level of Evidence: Prognostic II.
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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 | 0.019 | 0.050 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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".