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Record W4411884420 · doi:10.3899/jrheum.2025-0314.54

A Clinical Audit of Vaccination in Patients Living with Inflammatory Arthritis and Receiving Specialty Medications

2025· article· en· W4411884420 on OpenAlexaffvenue
Abdullahi Ahmed Mohamed, Stephen Williams, Aurore Fifi‐Mah

Bibliographic record

VenueThe Journal of Rheumatology · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
Topicvaccines and immunoinformatics approaches
Canadian institutionsUniversity of CalgaryUniversity of Alberta
Fundersnot available
KeywordsMedicineVaccinationInternal medicineRheumatologySpecialtyPneumoniaArthritisAuditPhysical therapyFamily medicineImmunology

Abstract

fetched live from OpenAlex

Objectives Both ACR and EULAR recommend appropriate vaccination for patients with inflammatory arthritis due to their higher risk of vaccine-preventable illness (VPI).[1,2] Immunosuppressive therapies may further increase VPI risk. Understanding baseline vaccination rates is crucial for implementing targeted quality improvement strategies. Methods A chart review was performed on South Health Campus Rheumatology Clinic patients who were a) seen between January 1, 2023, and January 1, 2024, b) over the age of 18, c) diagnosed with inflammatory arthritis (RA, PsA, AS, SpA, etc.), and d) were taking either biologic or JAK inhibitor pharmacotherapy. Vaccinations against influenza, COVID-19, pneumonia (Prevnar 13/20, Pneumovax-23), and shingles (Shingrix) were reviewed. Both physicians and stable nurse clinics patients were included. Descriptive statistics were performed for data analysis. Results 216 patient charts were audited (Figure 1). We found that 97% (210/216) of patients had a recommendation for updating or achieving full vaccination noted in their rheumatology consult notes. 53.2% of patients (115/216) received annual influenza vaccine, with 66.6% (64/96) in nurse clinics vs 42.5% (51/120) in physician clinics. 64.6% (73/113) of patients >65 received this vaccination c.f. 40.6% (41/101) <65. 69.9% of patients received > 3 mRNA COVID vaccines with 79.2% (76/96) of vaccinations in nurse clinics vs 42.5% (75/120) in physician clinics. 84.1% (95/113) of patients age >65 received vaccination c.f. 54.4% (55/101) <65. 55.5% of patients received Prevnar 13 or 20: 68.7% (66/96) in nurse clinics vs 45% (54/120) in physician clinics. 63.7% (72/113) of patients age >65 received vaccination c.f. 45.5% (46/101) of patients <65. 68.5% of patients received Pneumovax-23: 81.2% (78/96) in nurse clinics vs 58.3% (70/120) in physician clinics. 89.4% (72/113) of patients age >65 received vaccination c.f. 45.5% (46/101) <65. 28.7% of patients received Shingrix: 36.4% (35/96) in nurse clinics vs 17.5% (27/120) in physician clinics. 35.4% (40/113) of patients >age 65 received vaccination c.f. 21.8% (22/101) of patients <65. Conclusion In this audit we found increased vaccination rates in the nurse clinic and among patients > 65 years old. High vaccination rates observed in the nurse clinic likely resulted from dedicated preventative health protocols, clinical stability of nurse clinic patients, and physician/nursing collaboration. Higher rates of >65 vaccination was likely due to increased vaccine receptiveness of older adults, public coverage and outreach programs (programs focusing on vaccination for patients in congregate living), clinic promotion efforts, and community (family physician, pharmacy) promotion of vaccination. [1.] Bass AR. Arthritis Care & Research 2023;75(3):449-64. [2.] Furer V. Ann Rheum Dis 2020;79(1):39-52.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.151

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.006
GPT teacher head0.245
Teacher spread0.239 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations0
Published2025
Admission routes2
Has abstractyes

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