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Record W4213328810 · doi:10.1093/jcag/gwab049.172

A173 EVALUATING VACCINATION IN INFLAMMATORY BOWEL DISEASE – A QUALITY ASSESSMENT STUDY IN THE WINNIPEG HEALTH REGION

2022· article· en· W4213328810 on OpenAlexaffabout
PP Kundapur, Alexandra Ilnyckyj

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsMedicineVaccinationGuidelineInflammatory bowel diseaseFamily medicineHealth careVaccination scheduleDiseaseInternal medicineImmunologyImmunizationPathology

Abstract

fetched live from OpenAlex

Abstract Background The Canadian Association of Gastroenterology published a two-part clinical practice guideline, highlighting that IBD patients may be more susceptible to vaccine preventable diseases. Various studies have demonstrated shortcomings in vaccination rates amongst IBD patients. It is imperative to ensure that an individual’s vaccination status be known prior to starting immunosuppressive therapy; and deficiencies be addressed to optimize patient outcomes. Aims Identify physician perceived barriers to vaccinations in the IBD cohort. Determine discrepancies in vaccination rates in IBD patients, pre and post-introduction of the clinical tool. Methods Gastroenterologists in the Winnipeg Health Region (WRHA) will be provided with a survey to assess barriers to vaccination. This survey will be used to inform the clinical tool that will be developed to support physicians. The study is divided into a retrospective component (“pre-clinical tool”) and a prospective component (“post-clinical tool”). In the pre-clinical tool assessment, patient charts of new biological starts at St. Boniface Hospital (SBGH); between January – December 2020, will be reviewed to determine vaccination discussions. For the post-clinical tool assessment, SBGH Gastroenterologists will be provided a document containing guideline recommended vaccination schedule for IBD patients. Subsequently, vaccination rates in IBD patients starting biological therapy will be evaluated over the following 3 months. Results Response rates were 90% for the 10 WRHA Gastroenterologists surveyed. Only 55% felt comfortable providing vaccine related care to their IBD patients. Despite being comfortable, 40% correctly identified recommended annual vaccination and 60% accurately identified vaccines that were contraindicated in IBD patients on immunosuppressive therapy. 55% would assess vaccination status with their IBD patients “sometimes,” and 33% state they have “never” provided age-appropriate vaccinations prior to initiation of immunosuppression. Physician related factors (Physician Knowledge) was the most commonly cited obstacle faced in providing immunization care. 80% believed that Primary Care Physicians should keep track and be responsible for administering vaccines to IBD patients. 88% specified that having a clinical tool describing vaccine recommendations would be useful in their practice. Retrospective chart review is in progress and prospective data collection is scheduled to be completed in February 2022. Conclusions Survey analysis demonstrates that vaccine practices in WRHA are inadequately addressed; the leading obstacle for physician related factors was knowledge. Though chart review is underway, we anticipate that current vaccination assessments in IBD patients undergoing biological starts are low. We anticipate that rates of vaccinations will improve with the provision of a clinical tool. Funding Agencies None

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.020
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.338
Threshold uncertainty score0.681

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.020
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.005
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.021
GPT teacher head0.316
Teacher spread0.295 · 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 source (direct Gemma or distilled Codex), 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".

Quick stats

Citations0
Published2022
Admission routes2
Has abstractyes

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