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Record W2964493047 · doi:10.1136/sextrans-2019-sti.163

O10.6 A longitudinal analysis of men who have sex with men’s condom use and attitudes during HIV antiretroviral prevention scale-up

2019· article· en· W2964493047 on OpenAlexaffabout
Nathan J. Lachowsky, Lu Wang, Nicanor Bacani, Heather L. Armstrong, Gbolahan Olarewaju, Kiffer G. Card, Richard A. Crosby, Eric Abella Roth, Robert S. Hogg, David Moore

Bibliographic record

VenueOral Presentations · 2019
Typearticle
Languageen
FieldHealth Professions
TopicFood Security and Health in Diverse Populations
Canadian institutionsUniversity of British ColumbiaAIDS VancouverUniversity of Victoria
Fundersnot available
KeywordsCondomMedicineHuman immunodeficiency virus (HIV)Men who have sex with menScale (ratio)Male HomosexualityFamily medicineSyphilis

Abstract

fetched live from OpenAlex

Background Within British Columbia, men who have sex with men (MSM) comprise an increasing proportion of new HIV diagnoses (60% in 2016). We sought to identify temporal trends in condom-use and condom-related attitudes among MSM, especially in relation to antiretroviral-based prevention scale-up. Methods A prospective biobehavioural cohort of sexually-active MSM in Metro Vancouver were recruited using respondent-driven sampling (RDS). Every six months, participants self-completed questionnaires. We analyzed temporal trends (6-month periods) in condomless sex (binary outcome) and condom-related attitudes (continuous outcomes) using 3-level generalized linear mixed model (visit; participant; RDS chain). Statistical interactions were tested between time and antiretroviral treatment/pre-exposure prophylaxis (PrEP) use. Results Between 03/2015–02/2018, 520 participants (32.1% HIV-positive) completed 1861 study visits. Over time, reporting any condomless anal sex with an unknown/opposite status partner increased for HIV-negative men (OR=1.20, 95%CI:1.03–1.40) and decreased for HIV-positive men (OR=0.83, 95%CI:0.73–0.94). Correct Condom Use Self-Efficacy scale scores decreased among HIV-positive men (B=-0.296, p<0.001) but remained unchanged among HIV-negative men (p=0.167). Overall, Condom Barriers Experience subscale scores decreased, indicating more problems over time (B=-0.236, p<0.001). Other individual items indicated that fewer men reported they ‘can always get condoms’ (B=-0.023, p=0.003), ‘always have condoms when I have sex’ (B=-0.028, p=0.006), and ‘can always ask sexual partners to use condoms’ (B=-0.027, p=0.002). Over time, the ability to ‘say no’ to condomless sex increased among HIV-negative men using PrEP (B=0.172, p=0.023), but decreased among HIV-negative men not using PrEP (B=-0.049, p=0.001) (interaction, p=0.004). Conclusion MSM reported changing condom experiences over time, including decreased condom access, availability, and norms. HIV-positive men had less condomless sex with serodiscordant partners and reported more difficulties using condoms over time. PrEP-using men reported greater agency to decline condomless sex; the opposite was true for other HIV-negative men. Innovations in individual and community-level condom promotion and interventions are needed, especially for HIV-negative men not using PrEP. Disclosure No significant relationships.

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)0.002
metaresearch head score (Gemma)0.003
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 score0.204
Threshold uncertainty score0.406

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
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)0.0030.001

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 head0.124
GPT teacher head0.443
Teacher spread0.319 · 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
Published2019
Admission routes2
Has abstractyes

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