Psychometric Properties of Activity, Self-Efficacy, and Quality-of-Life Measures in Individuals with Parkinson Disease
Why this work is in the frame
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Bibliographic record
Abstract
PURPOSE: To examine the psychometric properties of six outcome measures in people with Parkinson disease (PD). METHOD: Twenty-four participants completed the following twice within 2 weeks: the timed up-and-go test (TUG), Northwestern University Disability Scale (NUDS), Schwab & England ADL Scale (S&E), Activities-specific Balance Confidence (ABC) Scale, PD Questionnaire-Short Form (PDQ 8), and Stanford Self-Efficacy for Managing Chronic Disease 6-Item Scale (SSE). Internal consistency, test-retest reliability (ICC[3,1]), and minimal detectable change (MDC) scores were calculated. Convergent and discriminant validity of the ABC were examined. RESULTS: Cronbach's alpha scores for the NUDS, ABC, PDQ-8, and SSE were 0.47, 0.92, 0.72, and 0.91 respectively. The intra-class correlation coefficient (ICC[3,1]) for the TUG was 0.69 and could be improved by averaging two trials. ICCs for the NUDS, S&E, ABC, PDQ-8, and SSE were 0.56, 0.70, 0.79, 0.82, and 0.72 respectively. The ABC correlated with the TUG (r=-0.44, p=0.03) and with PDQ-8 (r(s)=0.51, p=0.01) and NUDS (r(s)=0.48, p=0.02) walking items. The ABC was able to discriminate between stages 1 and 3 of disease progression but not between stages 1 and 2, which suggests that the ABC can distinguish large differences in disease progression but cannot detect more subtle differences. CONCLUSIONS: Homogeneity of the ABC, PDQ-8, and SSE is good to excellent. Test-retest reliability scores of all measures except the NUDS are moderate to good. The ABC is a valid measure for use in PD. The MDC statistic may be useful for interpreting group score changes.
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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 | 0.000 |
| 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 it