Patient-reported Outcomes, Resource Use, and Social Participation of Patients with Rheumatoid Arthritis Treated with Biologics in Alberta: Experience of Indigenous and Non-indigenous Patients
Bibliographic record
Abstract
OBJECTIVE: To characterize patient-reported outcomes, resource use, and social participation during the course of biologic therapy for indigenous and non-indigenous patients with rheumatoid arthritis (RA). METHODS: Patients initiating biologic therapy (2004 to 2012) were characterized longitudinally for patient-reported outcomes including physical function measured by the Health Assessment Questionnaire, EQ-5D, well-being [Medical Outcomes Study Short Form-36 (SF-36)], and visual analog scales for pain, fatigue, sleep, stiffness, and patient's global assessment. Resource use, participation in activities of daily living, and effect of RA on work productivity were also evaluated for change during therapy. RESULTS: Indigenous patients (n = 90) presented with significantly worse scores for global evaluation, pain, sleep, quality of life, well-being, and physical function compared to non-indigenous patients (n = 1400). All patient-reported outcomes improved significantly during treatment for patients in both groups, but pain, sleep, and SF-36 physical health score changes occurred at slower rates for indigenous patients [difference in slopes 0.09 (p = 0.029), 0.08 (p = 0.043), and -0.35 (p = 0.03), respectively]. Performance of daily activities was affected for 50% of indigenous compared to 37% of non-indigenous patients, with more use of community services and assistance from others. Employed indigenous patients reported twice the number of days being unable to work owing to RA compared to employed non-indigenous patients. Of the unemployed indigenous patients, 82% indicated they had stopped working because of arthritis, versus 48% of non-indigenous patients (p < 0.0001). CONCLUSIONS: Indigenous patients have greater consequences of RA regarding experienced symptoms, health-related quality of life, disruption of performance of activities of daily living, and reduced employment participation.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".