Using the common sense model of illness perceptions to examine osteoarthritis change: A 6-year longitudinal study.
Bibliographic record
Abstract
OBJECTIVE: To examine the association between changes in common sense models and changes in functional status over a 6-year follow-up in patients with osteoarthritis. DESIGN: At baseline and follow-up, osteoarthritis outpatients (N = 241) recruited from a university medical center completed the Illness Perception Questionnaire-Revised (IPQ-R), the Australian/Canadian Osteoarthritis Hand Index, and the Western Ontario and McMasters Universities Osteoarthritis Index. Also, their physician-assessed pain intensity, and biomedical, and clinical measures of medical severity of osteoarthritis were recorded. MAIN OUTCOME MEASURES: Functional disability, pain intensity. RESULTS: Over 6 years, functional disability and pain intensity increased. The IPQ-R dimensions of timeline, personal control, and illness coherence became more negative, and emotional representations became less negative (i.e., more accepting). Patients identified as sharing a similar profile of negative changes on the IPQ-R had significantly worse functioning on 2 of 3 outcomes, independent of objectively measured osteoarthritis severity. CONCLUSIONS: Changes in illness perceptions were associated with changes in outcomes. Interventions to prevent increasingly negative patterns of illness perceptions over time, with an emphasis on strengthening control cognitions, may benefit functional status outcomes in patients with osteoarthritis.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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".