Psychometric testing of a French Canadian version of the MacHAND performance assessment short (MPA-SF) for the adult burn survivor population
Bibliographic record
Abstract
Hand burns represent a frequent injury site, often leading to significant functional limitations. However, there is no systematically validated performance-based outcome (PerfO) assessment for burn survivors, making it difficult to plan, implement, and monitor interventions for hand function. The MacHAND performance assessment short (MPA-S) has recently been proposed as a quick, updated, and globally accessible tool for individuals with traumatic hand injuries and could be a suitable PerfO for hand burns, meriting evaluation. This study aimed to 1) translate the MPA-S and Sollerman Hand Function Test (SHFT) into French Canadian (MPA-SF and SHFT-F), and 2) evaluate the psychometric properties of the MPA-SF, including test-retest, inter-rater, and intra-rater reliability, as well as minimal detectable change with 95 % confidence (MDC95 %) and construct validity by examining its correlation with the French Canadian Burnt Hand Outcome Tool (BHOT-F) and SHFT-F. The secondary objective was to explore the relationship between the MPA-SF, SHFT-F, and BHOT-F scores with % total body surface area (TBSA) burned, presence of hand graft, and hand diagnoses. The translation process followed a standardized forwards-backwards method. Psychometric testing was conducted with 31 participants who sustained hand burns (50 hands). The MPA-SF exhibited excellent reliability and strong positive correlations with the SHFT-F; and weak to moderate negative correlations with the BHOT-F. The intra-rater MDC95 % was 0, and the inter-rater MDC95 % was 4.35 %. These findings suggest that the MPA-SF is a reliable tool for assessing hand function after burns, supporting its use in clinical practice and research. All instruction manuals and training videos are open-source.
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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 | 0.000 | 0.000 |
| 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".