Identifying perceptions and barriers regarding vaccination in patients with rheumatoid arthritis: A Canadian perspective
Bibliographic record
Abstract
AIM: Canadian guidelines recommend that patients with rheumatoid arthritis (RA) receive pneumococcal, influenza and shingles vaccinations. The aim of this study was to identify and understand vaccination rates in Canadian patients with RA. METHODS: We conducted an observational study to evaluate uptake of herpes zoster (HZ), influenza and pneumonia vaccination in a cross-section of patients with RA in Kingston, Ontario, Canada. Data were collected using a self-administered questionnaire in patients attending at an academic rheumatology clinic. If vaccination was not received, the reason was established. RESULTS: Ninety-eight out of a total of 103 patients surveyed met the inclusion criteria and were evaluated: 72.4% had received the influenza vaccination in the past year encompassing a period of 2017-2019. Of the 27.6% who did not, the most common chosen reason was personal preference not to get vaccinated (55.6%). Regarding HZ, 18.4% had received vaccination. Of the 2 available types of vaccines, more participants received Zostavax (66.7%) as compared to Shringrix (33.3%). For those not vaccinated (81.6%), "Other" was the most chosen option (37.5%) with the reasons subsequently specified as cost, concern over interaction with treatment and waiting until age ≥65 years. In terms of pneumococcal vaccination, 36.7% were vaccinated, with the majority being vaccinated with Pneumovax-23 (63.9%) compared to Prevnar-13 (16.7%) or both (19.4%). Of the 63.3% of the participants who did not receive vaccination, the most cited reason was they did not know they should receive pneumococcal vaccination (48.4%). CONCLUSIONS: Vaccination rates among Canadian patients with RA are suboptimal.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".