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Record W7115818916

KNOWLEDGE, ATTITUDES, AND PRACTICES TOWARD HUMAN PAPILLOMAVIRUS (HPV) AND ITS VACCINE

2025· dissertation· en· W7115818916 on OpenAlexaboutno aff

Bibliographic record

VenueMacSphere (McMaster University) · 2025
Typedissertation
Languageen
FieldMedicine
TopicCervical Cancer and HPV Research
Canadian institutionsnot available
Fundersnot available
KeywordsHuman papillomavirus vaccineHuman papillomavirusGlobal healthVaccinationPublic healthSociocultural evolutionCervical cancerHPV vaccinesDisease
DOInot available

Abstract

fetched live from OpenAlex

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.

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)0.006
metaresearch head score (Gemma)0.021
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 score0.018
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.021
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0020.003
Science and technology studies0.0000.001
Scholarly communication0.0020.002
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.049
GPT teacher head0.352
Teacher spread0.302 · 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
Published2025
Admission routes1
Has abstractyes

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