The impact of low family income on self-reported health outcomes in patients with rheumatoid arthritis within a publicly funded health-care environment †† Presented in part as a poster at the International Society of Quality of Life Research Annual Meeting in Prague, Czech Republic, November 2003.
Bibliographic record
Abstract
OBJECTIVE: Self-rated health (SRH) is an independent, strong predictor of morbidity and mortality. Socio-economic status (SES) is strongly associated with SRH. This study investigated the relationship between SES and SRH outcomes in a sample of patients with rheumatoid arthritis (RA) in Canada. METHODS: Both generic preference-based [Health Utilities Index Mark 3 (HUI3) and Short Form 6D (SF-6D)] and non-preference-based [disease-specific (Rheumatoid Arthritis Quality of Life, RAQoL) and a functional status (Health Assessment Questionnaire, HAQ)] SRH questionnaires were administered to 313 RA patients. Both proximate (education and annual household income) and contextual (neighbourhood income, education and unemployment) measures of SES were captured. Ordinary least squares (OLS) regression was used to adjust for RA severity while assessing the relationship between SRH and SES measures. Two-stage least-squares (TSLS) regression was used to determine if there was an inter-relationship between SES and SRH measures. RESULTS: The sample was well distributed across RA severity and SES measures. Contextual and proximate measures of SES were poorly correlated. Lower levels of proximate SES measures (but not contextual) were associated with poorer SRH outcomes. The OLS regressions showed significant associations between the HUI3 and the SF-6D overall scores and the HAQ for self-reported income. The RAQoL did not differ significantly across SES. TSLS regression confirmed the finding that self-reported income was similarly associated with the SRH measures. CONCLUSIONS: Even in a country with universal access to health-care, the impact of a chronic disease such as RA on SRH is associated with self-reported income. The finding that preference-based measures vary with income independently of RA severity could bias economic evaluation.
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How this classification was reachedexpand
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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".