KNOWLEDGE, ATTITUDES, AND PRACTICES TOWARD HUMAN PAPILLOMAVIRUS (HPV) AND ITS VACCINE
Notice bibliographique
Résumé
Background Human papillomavirus (HPV) is the most common sexually transmitted infection worldwide, responsible for a rising burden of cancer and disease in both women and men. Despite the proven effectiveness of HPV vaccination, uptake and awareness lag far behind global targets, particularly among men and in low- and middle-income countries (LMICs). Persistent gaps in knowledge, attitudes, and practices (KAP) undermine public health efforts and perpetuate global inequities in HPV prevention. This dissertation conducts a comprehensive, multi-method investigation of KAP related to HPV and its vaccine among men, mapping global disparities and identifying barriers and facilitators. Methods We adopted a “sandwich” structure, integrating three original studies. First, we conducted a systematic review and meta-analysis of 590 studies to synthesize KAP and HPV vaccine uptake by age, sex, region, and country income level. Second, we conducted a cross sectional survey among Canadian men aged 16 and older to evaluate KAP regarding HPV and its vaccine, and to identify factors influencing KAP in a high-income setting. Third, we conducted a qualitative descriptive study with men, healthcare providers, and policymakers in Bangladesh to gain an in-depth understanding of men's KAP regarding HPV and its vaccine and to identify sociocultural and systemic barriers and facilitators affecting vaccine acceptance in a low- and middle-income context. All studies were guided by the Health Belief Model, providing a unifying theoretical framework for analysis across diverse populations. Results We found substantial global disparities in HPV knowledge and vaccine uptake. Both men and women in low- and middle-income countries exhibited significantly lower knowledge and vaccination coverage compared to those in high-income settings, with younger age groups and males generally having lower KAP levels. We identified key barriers including doubt about HPV vaccine effectiveness, financial constraints, and inadequate access to healthcare services and social, cultural or religious stigma. We observed persistent gaps in HPV-related KAP among men in Canada, primarily due to limited knowledge, insufficient healthcare provider recommendation, and perceived lack of personal risk, even within a well-resourced health system. In contrast, we found a very low knowledge specifically HPV vaccine, widespread misconceptions, sociocultural stigma, lack of research and exclusion of men from vaccination programs to be major barriers to HPV vaccine acceptance and uptake among Bangladeshi men. Conclusions Eliminating global disparities in HPV prevention demands context-specific strategies: in high-income countries like Canada, strengthening healthcare provider engagement and reducing financial barriers are critical to closing persistent gaps in male vaccination; in low and middle-income countries, expanding vaccine access, providing male-focused education, and integrating gender-neutral policies are urgently needed. Implementing these context specific, evidence-based strategies is essential to achieving equitable HPV prevention on a global scale.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,006 | 0,021 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,002 |
| Bibliométrie | 0,002 | 0,003 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,002 | 0,002 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 source (Gemma direct ou Codex distillé), 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 ».