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Record W4313417305 · doi:10.1186/s12889-022-14471-4

Influence of previous experience with and beliefs regarding anal cancer screening on willingness to be screened among men living with HIV

2022· article· en· W4313417305 on OpenAlexafffund
Jennifer Gillis, Troy Grennan, Ramandip Grewal, Gina Ogilvie, Mark Gaspar, Daniel Grace, Aïsha Lofters, Janet Raboud, Olli Saarela, Paul MacPherson, Ron Rosenes, Irving E. Salit, Ann N. Burchell, Abigail Kroch, Sergio Rueda, Gordon Arbess, Jeffrey Cohen, Curtis Cooper, Elizabeth M. Lavoie, Fred Crouzat, Nisha Andany, Sharon Walmsley, Michael Silverman, Roger Sandre, Wangari Tharao, Holly Gauvin, Fiona Smaill

Bibliographic record

VenueBMC Public Health · 2022
Typearticle
Languageen
FieldMedicine
TopicCervical Cancer and HPV Research
Canadian institutionsOntario Tobacco Research UnitUniversity Health NetworkOttawa HospitalUniversity of OttawaWomen's College HospitalSt. Michael's HospitalBC Centre for Disease ControlUniversity of British ColumbiaPublic Health OntarioOttawa Public HealthUniversity of TorontoToronto General Hospital
FundersInstitute of Gender and HealthCanadian Institutes of Health ResearchGoddard Space Flight CenterNederlandse Organisatie voor Wetenschappelijk OnderzoekUniversity of TorontoHamilton Health SciencesCanadian HIV Trials Network, Canadian Institutes of Health ResearchOntario Ministry of Health and Long-Term CareOntario HIV Treatment NetworkUniversity of Ottawa
KeywordsMedicineAnal cancerBiostatisticsOdds ratioSexual orientationMen who have sex with menPopulationDemographyCancer screeningCancerEpidemiologyFamily medicineHuman immunodeficiency virus (HIV)Social psychologyInternal medicineEnvironmental healthPsychology

Abstract

fetched live from OpenAlex

BACKGROUND: Implementation of anal cancer screening requires the procedure to be acceptable to the target population. Our objective was to assess the beliefs of men living with HIV regarding anal cancer screening and identify factors associated with their willingness to participate in screening. METHODS: We developed a cross-sectional questionnaire using the Theory of Planned Behavior to examine beliefs regarding prevention of human papillomavirus (HPV)-related diseases, administered to men living with HIV in 2016-2017 in a multi-site HIV clinical cohort. Correspondence analysis was used to examine the interrelationships between men's beliefs and willingness to undergo anal cancer screening. We used multivariable proportional odds models to identify factors associated with increasing willingness. Results were reported as adjusted odds ratios (aOR) with 95% confidence intervals (CI). RESULTS: Among 1677 male participants, the vast majority (90%) would be willing to undergo screening by "anal Pap test"; willingness clustered with positive beliefs (e.g. confident they can get screened; disagree that they will feel pain) in the correspondence analysis. Higher self-perceived risk for anal cancer and positive beliefs regarding screening were associated with higher willingness to be screened. Gay, bisexual and other men who have sex with men had higher willingness (aOR = 1.62; 95% CI: 1.15, 2.29) than heterosexual men. Racialized men reported lower willingness (aOR = 0.68; 95% CI: 0.54, 0.89) than white men. CONCLUSIONS: Men generally had positive beliefs and were willing to undergo screening, though there were differences by sexual orientation and racial identity. Tailored community-led initiatives could focus on men's understanding of their risk and expectations of anal cancer screening to facilitate participation.

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)0.010
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 score0.006
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
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 head0.063
GPT teacher head0.362
Teacher spread0.300 · 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

Citations10
Published2022
Admission routes2
Has abstractyes

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