Determinants of poor health-related quality of life among outpatients with rheumatoid arthritis in Jordan
Bibliographic record
Abstract
OBJECTIVE: The purpose of this study was to assess the health-related quality of life (HRQOL) and investigate the variables contributing to reduced HRQOL in patients with rheumatoid arthritis. METHODS: The present cross-sectional study was conducted on patients diagnosed with rheumatoid arthritis at two teaching hospitals in Jordan using a convenience sampling technique. The participants were interviewed face-to-face during the scheduled appointment at the outpatient rheumatology clinic. The HRQOL was evaluated by the validated EuroQol-5 Dimension (EQ-5D) questionnaire, which included the EQ-5D utility index that evaluated HRQOL in terms of 5 domains, including mobility, self-care, usual activities, pain/discomfort, and anxiety/depression, and the EQ-5D visual analogue scale (EQ-5DVAS), which evaluated HRQOL on a vertical scale ranging from 0 (worst imaginable health) to 100 (best imaginable health). The validated short version of the 19-item Compliance Questionnaire for Rheumatology (CQR-5) was used to evaluate medication adherence. The Clinical Disease Activity Index (CDAI) was used to assess disease activity among the study participants. A stepwise quantile regression model (q = 0.5) was conducted to explore the factors associated with the EQ-5DUtility Index and EQ-5DVAS scores. RESULTS: In total, 261 patients with RA participated in the study. The median (interquartile range) of the EQ-5DUtility Index and EQ-VAS scores was 0.552 (0.006-0.726) and 0.506 (0.233-0.690), respectively. Regression analysis results demonstrated that medication non-adherence (regression coefficient (β) = -0.348, P<0.01), not performing regular physical activity (β = -0.209, P<0.01), and higher disease activity as measured by the CDAI score (β = -0.015, P<0.01) were significant predictors of a lower EQ-5DUtility Index score. In addition, medication non-adherence (β = -0.199, P<0.01), not performing regular physical activity (β = -0.117, P<0.01), increased body mass index (BMI) (β = -0.009, P<0.01), and higher CDAI score (β = -0.009, P<0.01) were significant predictors of low EQ-5DVAS score. CONCLUSIONS: Patients with RA experienced significantly impaired HRQOL. Medication non-adherence, not performing regular physical activity, increased body weight, and increased disease activity were identified as determinants of poor HRQOL among patients with RA in the present study. Treating physicians should encourage regular physical activity, maintaining a healthy body weight, and controlling disease activity to improve HRQOL in patients with RA.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".