Oral Health in Rheumatoid Arthritis: Listening to Patients
Bibliographic record
Abstract
INTRODUCTION: Rates of periodontal disease and tooth loss are increased in individuals with rheumatoid arthritis (RA). Understanding factors that contribute to the increased burden of periodontal disease in RA is critical to improving oral health and arthritis outcomes. OBJECTIVES: To determine the perceptions held by people with RA relating to their oral health, to identify patient-centered priorities for oral health research, and to inform optimal strategies for delivering oral health knowledge. METHODS: Semistructured interviews were conducted with patients with RA. Recorded interview transcripts were iteratively reviewed to reveal surface and latent meaning and to code for themes. Constructs were considered saturated when no new themes were identified in subsequent interviews. We report themes with representative quotes. RESULTS: Interviews were conducted with 11 individuals with RA (10 women [91%]; mean age, 68 y), all of whom were taking RA medication. Interviews averaged 19 min (range, 8 to 31 min) and were mostly conducted face-to-face. Three overall themes were identified: 1) knowledge about arthritis and oral health links; 2) oral health care in RA is complicated, both in personal hygiene practices and in professional oral care; and 3) poor oral health is a source of shame. Participants preferred to receive oral health education from their rheumatologists or dentists. CONCLUSIONS: People with RA have unique oral health perceptions and experience significant challenges with oral health care due to their arthritis. Adapting oral hygiene recommendations and professional oral care delivery to the needs of those with arthritis are patient priorities and are required to improve satisfaction regarding their oral health. KNOWLEDGE TRANSLATION STATEMENT: Patients living with long-standing rheumatoid arthritis described poor oral health-related quality of life and multiple challenges with maintaining optimal oral health. Study findings indicate a need for educational materials addressing oral health maintenance for patients with rheumatic diseases and their providers.
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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 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".