Reasons for not having received influenza vaccination and its predictors in Canadians
Notice bibliographique
Résumé
Yue Chen,1 Jun Wu,2 Qi-long Yi,1 Julie Laroche,3 Thomas Wong21Department of Epidemiology and Community Medicine, Faculty of Medicine, University of Ottawa, 2Professional Guidelines and Public Health Practice Division, Centre for Communicable Diseases and Infection Control, Public Health Agency of Canada, 3Immunization Assessment and Information, Centre for Immunization and Respiratory Infectious Diseases, Public Health Agency of Canada, Ottawa, Ontario, CanadaBackground: Influenza vaccination is the most effective way to prevent influenza. However, only about one-third of Canadians receive an annual seasonal influenza vaccination.Methods: The reasons for not having received influenza vaccination were examined among 131,061 Canadians ≥ 12 years of age who participated in a national survey in 2007–2008. Among them, 127,297 subjects responded to the questions concerning their flu shot history and were grouped into three categories: never (n = 51,767), 1+ year ago (n = 29,310), last year (n = 46,220). Subjects who reported not having had a flu shot during the past year were asked the reasons for not having it. The log binomial regression model was used to estimate prevalence ratios (PRs) and 95% confidence intervals (95% CIs) for the associations of various reasons for not having received influenza vaccination and their predictors.Results: When weighted to the Canadian population, 44.0% had never previously received influenza vaccine and 24.5% had received the vaccine > 12 months ago. The most common reasons for not having received influenza vaccination in the past 12 months were “Respondent did not think it necessary” (71.3%) and “Have not gotten around to it” (17.6%). Log binomial regression analysis shows that females were less likely to report these two reasons compared to males with PRs of 0.98 (0.97, 0.99) and 0.84 (0.81, 0.87), respectively. Younger participants were more likely to report, “Have not gotten around to it.” For those who had an influenza vaccination previously, the primary reason for not having an influenza vaccination in the last year was “Have not gotten around to it.”Conclusions: More than two-thirds of Canadians 12+ years of age did not receive an influenza vaccination in the past year, and “Respondent did not think it necessary” and “Have not gotten around to it” were the main reasons.Keywords: Canada, flu shot, human, influenza, survey, vaccination
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,002 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».