The use of rheumatoid arthritis health‐related quality of life patient questionnaires in clinical practice: Lessons learned
Bibliographic record
Abstract
OBJECTIVE: The utilization of health-related quality of life (HRQOL) patient questionnaires by clinical rheumatologists is limited. Yet, considerable literature exists defining the value of such data. In an effort to understand this apparent paradox, we performed a literature review and conducted a survey to describe what has been learned over the past 2 decades concerning the use of these measures in clinical care and explore the reasons for their underutilization. METHODS: A panel of rheumatologists with extensive clinical experience was convened to review the relevant literature pertaining to the use of HRQOL patient instruments in clinical practice. Additionally, a survey of all American College of Rheumatology practicing clinicians was conducted to assess the use of and beliefs about these measures. RESULTS: The literature provided evidence to support the use of HRQOL patient measures in clinical practice. Forty-seven percent of the responding rheumatologists stated that none of their patients complete HRQOL patient questionnaires. The majority of respondents (63%) reported that such information is "somewhat valuable." The most frequently reported reason for the underutilization was that such instruments "require too much staff time." CONCLUSIONS: The literature supports the potential value of HRQOL patient questionnaires in clinical practice. Few rheumatologists routinely gather such information as part of patient care. Reasons for this discrepancy between utility and use are given along with recommendations intended to help increase their utilization in clinical care.
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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 | 0.010 | 0.053 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".