Comparing the reliability of five participation instruments in persons with spinal conditions
Bibliographic record
Abstract
OBJECTIVE: To compare the score distribution and reliability of 5 participation instruments developed using the International Classification of Functioning, Disability and Health. METHODS: Individuals treated for spinal conditions at an acute hospital were followed-up and 545 participated. 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) and World Health Organization Disability Assessment Schedule II (WHODAS II)). Test-retest reliability was assessed in 139 subjects. The score distribution, internal consistency and test-retest reliability were assessed. RESULTS: All the instruments demonstrated considerable ceiling effects, except for the POPS. Internal consistency (Cronbach's alpha) was > or = 0.70 for all domains. The IPA and WHODAS II had the highest test-retest values, with intra-class correlation coefficients > or = 0.70. The minimal detectable change as a percentage of the absolute scale score range was primarily between 20% and 30%. CONCLUSION: The IPA, PM-PAC and WHODAS II have similar measurement properties. The KAP was designed for -population-based studies and the POPS includes objective and subjective information, which may explain some of the differences observed. Researchers and clinicians should select an instrument that will fulfil their measurement objectives and future studies should assess minimal important change.
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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 | 0.008 | 0.027 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 | 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".