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Human papillomavirus and cervical cancer risk perception and vaccine acceptability among adolescent girls and young women in Durban, South Africa

2020· article· en· W3081618378 on OpenAlexafffund
Virginia L. Russell, Gina Ogilvie, Mags Beksinska, M Nyrenda, Sheona Mitchell‐Foster, Josée G. Lavoie, Henry G. Harder, Brianne Wood, Patricia M. Smith, Janan Dietrich, Jennifer Smit, Mark A. Brockman, Glenda Gray

Bibliographic record

VenueSouth African Medical Journal · 2020
Typearticle
Languageen
FieldMedicine
TopicCervical Cancer and HPV Research
Canadian institutionsUniversity of Northern British ColumbiaUniversity of OttawaManitoba HealthUniversity of British ColumbiaBC Centre for Disease ControlUniversity of WinnipegSimon Fraser UniversityUniversity of ManitobaHealth Sciences Centre
FundersUniversity of British ColumbiaCanadian Institutes of Health ResearchSouth African Medical Research Council
KeywordsMedicineCervical cancerPsychological interventionRisk perceptionRespondentFamily medicineYoung adultCancerDescriptive statisticsVaccinationGynecologyDemographyPerceptionGerontologyInternal medicineImmunologyNursing

Abstract

fetched live from OpenAlex

BACKGROUND: The relationship between HIV and cervical cancer is well established. Interventions that focus on creating human papillomavirus (HPV) vaccine and cervical cancer prevention messaging for adolescents, caregivers and educators will increase uptake of HPV vaccinations, HPV testing and cervical cancer screening for high-risk adolescent girls and young women (AGYW). In order to effectively develop appropriate interventions, it is important to examine AGYW's perceptions regarding their personal risk of acquiring HPV, as well as vaccine acceptability. OBJECTIVES: To measure the level of perceived personal risk of acquiring HPV and developing cervical cancer; examine the sociodemographic and behavioural factors associated with perceived risk; and assess HPV vaccine acceptability. METHODS: AGYW aged 16 - 24 years participating in the AYAZAZI study in Durban, South Africa (SA), were invited to participate in the AYA-HPV Prevention Project (AHPP), and were administered a questionnaire that assessed HPV, cervical cancer and vaccine awareness and knowledge, self-perceived HPV and cervical cancer risk, HPV vaccine uptake and acceptability, and participation in cervical cancer screening. The questionnaire measured self-perceived risk of acquiring HPV and developing cervical cancer for the respondent and other young women, as well as vaccine acceptability. Data from the main AYAZAZI study (12-month) visit were linked to AHPP substudy data. Descriptive statistics were used to analyse sociodemographic variables at the 12-month time point. Self-perceived HIV, HPV and cervical cancer risk was measured using an ordinal scale. Chi-square analyses were used to examine differences in sociodemographic and behavioural factors according to self-perceived risk of HPV and cervical cancer. RESULTS: Only a small portion of participants (14.3%) had heard of HPV. Overall, 43.0% (n=49) perceived themselves as at low HPV risk. There were significant differences in self-perceived risk of cervical cancer by age group, income and pregnancy status. The highest proportion of AGYW who perceived themselves as at high risk of cervical cancer reported being sexually active (p=0.002). Although many participants reported not knowing about HPV prior to the study, after learning about it during the study, most said that they would be willing to receive the vaccine (97.5%). CONCLUSIONS: Most young women in SA do not have access to the national HPV vaccine programme, as only girls in grade 4 in some public schools qualify. Almost all participants indicated that if the vaccine was free and recommended by a healthcare professional, they would accept it. Availability of the HPV vaccine and timely treatment of HPV infections are key issues to address in efforts to decrease cervical cancer worldwide.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.070
Threshold uncertainty score0.138

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.025
GPT teacher head0.304
Teacher spread0.279 · 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

Citations13
Published2020
Admission routes2
Has abstractyes

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