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Record W4323353026 · doi:10.1093/jcag/gwac036.069

A69 ASSESSING COVID-19 VACCINATION COMPLIANCE AND HESITANCY IN THE EARLY ADULT (18-25YRS) INFLAMMATORY BOWEL DISEASE (IBD) POPULATION

2023· article· en· W4323353026 on OpenAlexaff
A Ramkissoon, Zuhal Mohmand, Natasha Bollegala

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsUniversity of TorontoWomen's College Hospital
Fundersnot available
KeywordsMedicineVaccinationLogistic regressionInflammatory bowel diseasePopulationGeeUlcerative colitisYoung adultDiseaseInternal medicineImmunologyGeneralized estimating equationEnvironmental health

Abstract

fetched live from OpenAlex

Abstract Background Effective strategies at educating high risk IBD patients about COVID-19 and the benefits of vaccination is critical. Purpose The primary objective of this study was to assess the impact of early adulthood (18-25 years) on COVID-19 vaccination compliance. Secondary objectives were to assess the impact of early adulthood on vaccine hesitancy and reasons for non-compliance. Method A retrospective chart review was performed on all eligible IBD patients. Inclusion criteria: patients followed at Women’s College Hospital, age 18 years and older, diagnosis of Crohn’s disease (CD), Ulcerative Colitis (UC) or Indeterminant Colitis (IC). Data was collected between January 01 and August 31, 2022. Demographic data, level of immunosuppression and COVID-19 vaccine status were collected. All participants identified as not fully vaccinated (defined as less than 3 COVID-19 vaccines) were enrolled into the second phase of the study in which a modified Oxford COVID-19 Vaccine Hesitancy Scale was administered, and reasons for vaccine hesitancy discussed and addressed using a prepared educational template. Chi-square test evaluated the impact of age on vaccination status. Adjusted logistic regression was also performed. Fisher exact test evaluated the impact of age on willingness to accept vaccination counseling. Generalized linear regression model evaluated the impact of this on vaccine hesitancy. Result(s) 287 patients were included in the study of which 254 (89%) were immunosuppressed, 197 (69%) were female. 144 (50%) had CD, 136 (47%) had UC and 7 (2.4%) had IC. There were significantly more young adults who were under/unvaccinated 22/82 (27%) compared to older adults 22/205 (11%), p=0.0006 . Gender, IBD phenotype, immunosuppression status did not significantly affect vaccination status. The only variable found to significantly affect vaccination status on adjusted logistic regression was age, >25 years associated with OR 3.25 (95% CI 1.63-6.50) for full vaccination. 32/39 study subjects who were un/under-vaccinated agreed to counseling (82% of the early adults and 82% of older adults). Gender, IBD phenotype, immunesuppression status and age had no impact on uptake. Linear regression modeling found no significant impact on vaccine hesitancy by age, gender, IBD phenotype or immunesuppression. The main reasons described by patients for hesitancy included safety concerns and potential side effects (43%), perceived low risk (27%), prior COVID-19 infection (17%), lack of knowledge of current public health guidance (13%). Conclusion(s) Early adult IBD patients were found to be significantly less compliant with obtaining COVID-19 vaccines. This hesitancy mainly stems from concerns regarding vaccine safety and efficacy and perceived low risk. More targeted education strategies are required to increase awareness and ensure vaccine compliance. Please acknowledge all funding agencies by checking the applicable boxes below None Disclosure of Interest None Declared

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)0.002
metaresearch head score (Gemma)0.004
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 score0.003
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.013
GPT teacher head0.265
Teacher spread0.251 · 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
Published2023
Admission routes1
Has abstractyes

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