Toward a Specific Outcome Instrument for Spinal Trauma
Bibliographic record
Abstract
STUDY DESIGN: Validation study. OBJECTIVE: To investigate the most valid, reliable, and comprehensible response scale for spinal trauma patients to compare their current level of function and health with their preinjury state. SUMMARY OF BACKGROUND DATA: In the context of a main project of the AOSpine Knowledge Forum Trauma to develop a disease-specific outcome instrument for adult spinal trauma patients, the need to identify a response scale that uniquely reflects the degree to which a spine trauma patient has returned to his or her preinjury state is crucial. METHODS: In the first phase, 3 different question formats and 3 different response formats were investigated in a questionnaire, which was administered twice. Based on the results of the first phase, in the second phase, a modified questionnaire was administered once to a second group of patients to investigate 5 different response formats: 0-10 Numeric Rating Scale-11, 0-100 Numeric Rating Scale-101, Visual Analogue Scale, Verbal Rating Scale, and Adjective Scale. All patients were interviewed in a semistructured fashion to identify their preferences. Multiple statistical analyses were performed: test-retest reliability, internal consistency, and discriminant validity. RESULTS: Twenty eligible patients were enrolled in the first phase and 59 in the second phase. The initial phase revealed the highest preference for 1 specific question format (60.0% and 86.7% after the first and second administration of the questionnaire, respectively). The second phase showed the Verbal Rating Scale as the most preferred response format (35.6%). The semistructured interviews revealed that overall, a subgroup of patients preferred a verbal response format (42.4%), and another group of patients preferred a numerical response format (49.1%). The statistical analysis showed good to excellent psychometric properties for all formats. CONCLUSION: The most preferred question and response formats were identified for use in a disease-specific outcome instrument for spinal trauma patients. LEVEL OF EVIDENCE: 3.
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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 | 0.043 | 0.058 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".