Viral hepatitis knowledge and vaccination awareness among men who have sex with men (MSM) in 43 countries of the WHO European Region: results from the European MSM Internet Survey, EMIS-2017
Bibliographic record
Abstract
BackgroundRecent hepatitis A virus outbreaks in Europe affecting men who have sex with men (MSM) and ongoing hepatitis B virus transmission among MSM underscore the ongoing need for viral hepatitis prevention in this population.AimTo describe viral hepatitis knowledge and associated factors among MSM in the WHO European Region to inform targeted prevention.MethodsIn the European MSM Internet Survey (EMIS-2017), basic knowledge was defined as correctly identifying at least 4 of 5 statements about viral hepatitis and vaccination. We described basic knowledge by country. In a multilevel logistic regression model, we estimated adjusted odds ratios (aOR) with 95% confidence intervals (CI) for having basic knowledge and explanatory variables: sociodemographic characteristics, history of hepatitis C and/or HIV diagnosis, sexual orientation disclosure at last sexually transmitted infections (STI) test and outness.ResultsOf 113,884 participants across 43 WHO European Region countries, 68% demonstrated basic knowledge, ranging from 50% in Israel to 80% in the Netherlands. Basic knowledge was significantly associated with older age (≥ 40 years vs < 25 years, aOR: 2.9, 95% CI: 2.7-3.0), a history of hepatitis C and/or HIV diagnosis (aOR: 1.8, 95% CI: 1.7-1.9) and sexual orientation disclosure at last STI test (aOR: 1.3, 95% CI: 1.2-1.3), among other factors.ConclusionsWe found a knowledge disparity regarding viral hepatitis and hepatitis vaccination awareness among MSM across Europe, highlighting a need to address these gaps. A non-judgemental, accepting climate that allows individuals attending medical services to safely disclose their sexual orientation is fundamental to enable healthcare professionals to target information and preventative measures more effectively.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".