Vaccine mistrust among Black individuals in Canada: The major role of health literacy, conspiracy theories, and racial discrimination in the healthcare system
Notice bibliographique
Résumé
The COVID-19 pandemic disproportionately affected Black communities in Canada in terms of infection and mortality rates compared to the general population. Despite these facts, Black communities are among those with the highest level of COVID-19 vaccine mistrust (COVID-19 VM). We collected novel data to analyze the sociodemographic characteristics and factors associated with COVID-19 VM among Black communities in Canada. A survey was conducted among a representative sample of 2002 Black individuals (51.66% women) aged 14-94 years (M = 29.34; SD = 10.13) across Canada. Vaccine mistrust was assessed as the dependent variable and conspiracy theories, health literacy, major racial discrimination in healthcare settings, and sociodemographic characteristics of participants were assessed as independent variables. Those with a history of COVID-19 infection had higher COVID-19 VM score (M = 11.92, SD = 3.88) compared to those with no history of infection (M = 11.25, SD = 3.83), t (1999) = -3.85, p < 0.001. Participants who reported having experienced major racial discrimination in healthcare settings were more likely to report COVID-19 VM (M = 11.92, SD = 4.03) than those who were not (M = 11.36, SD = 3.77), t (1999) = -3.05, p = 0.002. Results also showed significant differences for age, education level, income, marital status, provinces, language, employment status, and religion. The final hierarchical linear regression showed that conspiracy beliefs (B = 0.69, p < 0.001) were positively associated with COVID-19 VM, while health literacy (B = -0.05, p = 0.002) was negatively associated with it. The mediated moderation model showed that conspiracy theories completely mediated the association between racial discrimination and vaccine mistrust (B = 1.71, p < 0.001). This association was also completely moderated by the interaction between racial discrimination and health literacy (B = 0.42, p = 0.008), indicating that despite having a high level of health literacy, those who experienced major racial discrimination in health services developed vaccine mistrust. This first study on COVID-19 VM exclusively among Black individuals in Canada provides data that can significantly impact the development of tools, trainings, strategies, and programs to make the health systems free of racism and increase their confidence in vaccination for COVID-19 and other infectious diseases.
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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 | 0,008 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 ».