Development and cross-validation of a home functioning scale for people with multiple sclerosis
Bibliographic record
Abstract
BACKGROUND: After extensive review of existing measures, it was deemed that a brief self-report instrument that measures the functioning difficulties and limitations of people with MS in and around their home should be developed. OBJECTIVE: The purposes of this study were to develop an instrument that can measure the degree of difficulty in functioning that people with multiple sclerosis (MS) experience within their residence and to test the psychometric properties of the newly developed scale. METHODS: To test the factorial validity of the Home Functioning Scale, both exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were utilized in a cross-validation approach in this study. RESULTS: The new scale captured three functioning difficulty components: (1) functioning needed to take care of oneself at home, (2) functioning needed to conduct house work and house maintenance, and (3) functioning needed to carry out one's own medical needs and treatment at home. Unlike many other scales in the field, this measure is not disease or symptom-specific, but task-oriented and site-specific. CONCLUSION: The use of the scale can be instrumental to rehabilitation counselors and allied health practitioners in the field.
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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 | 0.009 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| 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".