Comparing the validity of five participation instruments in persons with spinal conditions
Bibliographic record
Abstract
OBJECTIVE: To evaluate and compare the construct validity of 5 participation instruments developed using the International Classification of Functioning, Disability and Health (ICF). METHODS: A total of 545 subjects diagnosed and treated for a spinal condition at an acute hospital were followed-up and consented to complete a questionnaire. Subjects completed 5 participation instruments (Impact on Participation and Autonomy (IPA), Keele Assessment of Participation (KAP), Participation Measure-Post Acute Care (PM-PAC), Participation Objective Participation Subjective (POPS), World Health Organization Disability Assessment Schedule II (WHODAS II)). In addition, each subject completed a health status instrument and a quality of life instrument. The dimensionality, convergent/discriminant validity and known-group validity of the participation instruments were assessed. RESULTS: A confirmatory factor analysis of the facture structure for the IPA and PM-PAC demonstrated adequate model fit. For convergent/discriminant validity, correlations were generally higher among similar domains of the WHODAS II, IPA, KAP and PM-PAC, and as expected the lowest correlations were observed with the objective domains of the POPS. Most instruments demonstrated known-group validity. CONCLUSION: Differences in the construct validity evidence of the POPS compared with the other 4 instruments were noted. To date, there is no gold standard for measuring participation, and clinicians and researchers should consider the type of information required prior to selecting an instrument.
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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 | 0.011 | 0.034 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".