Self-report Functioning According to the ICF Model in Elderly Patients with Rheumatoid Arthritis and in Population Controls Using the Multidimensional Health Assessment Questionnaire
Bibliographic record
Abstract
OBJECTIVE: To assess disability and functioning of elderly patients with rheumatoid arthritis (RA) and population controls by linking the items included in the self-report Multidimensional Health Assessment Questionnaire (MDHAQ) with components of the WHO International Classification of Functioning, Disability and Health (ICF) instrument. METHODS: In total, 1439 patients with RA (mean age 66 yrs, men 29%) and 957 population controls (65 yrs, men 27%) completed a mailed questionnaire. Functioning was recorded by the Finnish version of MDHAQ. Data included comorbidity, subjective health, education level, employment, exercise habits, self-report joint pain/tenderness, and, for patients, the disease duration. RESULTS: Patients had lower levels of functioning compared to controls in all ICF domains, with the exception that male patients functioned comparably to male controls in the "general tasks and demands" domain. In patients, disease activity, education, exercise frequency, and comorbidities were expectedly associated with lower functioning in the body structure and function component, while male sex and subjectively perceived health were associated with more favorable functioning. In the activity and participation components, disease activity, exercise frequency, and comorbidities were associated with impaired functioning, while better health on self-report was associated with better functioning. CONCLUSION: There is an extra burden of disability in elderly patients with RA compared to the reference population. With a large patient and control population sample, our study shows that use of the self-report MDHAQ identifies all 3 main components of the ICF framework, thus covering a wide spectrum of functioning. Elderly patients with RA, in comparison to population controls, encounter more difficulties in daily activities and their social life.
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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 | 0.002 | 0.006 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| 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".