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Record W2340771576 · doi:10.1080/09540121.2016.1164288

Predictors of HIV testing among men who have sex with men: a focus on men living outside major urban centres in Canada

2016· article· en· W2340771576 on OpenAlexaffabout
Susan Holtzman, Lisa Landis, Zachary Walsh, Eli Puterman, Daryle Roberts, Kevin Saya-Moore

Bibliographic record

VenueAIDS Care · 2016
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsKelowna General HospitalUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
Fundersnot available
KeywordsMen who have sex with menPsychosocialQuarter (Canadian coin)Human immunodeficiency virus (HIV)DemographyGerontologyMedicineHomosexualityPsychologyFamily medicineGeographyPsychiatrySociology

Abstract

fetched live from OpenAlex

Men who have sex with men (MSM) represent almost half of new HIV infections in Canada each year. However, the vast majority of research on HIV testing among MSM has been conducted in major urban centres. The present study addressed this gap by investigating HIV testing behaviour and predictors of HIV testing among MSM living outside major urban centres, in the Interior of British Columbia. An anonymous online survey of 153 MSM assessed HIV testing behaviour and psychosocial factors that may impact HIV testing (internalized homophobia, disclosure to healthcare providers (HCPs) of same sex attraction, and gay community involvement). Almost one-quarter (24%) had never been tested and over one-third (35%) had not disclosed same sex attraction to HCPs. Internalized homophobia was associated with a lower likelihood of HIV testing, and this relationship was partially explained by the fact that those high in internalized homophobia were less likely to disclose same sex attraction to their HCPs. Neither formal nor informal involvement in the gay community was related to HIV testing, and both types of involvement were relatively low in our sample. Further research is needed to better understand the distinctive health issues facing MSM living outside major urban centres.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.183
Threshold uncertainty score0.411

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.009
GPT teacher head0.241
Teacher spread0.232 · 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 teacher head, 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

Citations27
Published2016
Admission routes2
Has abstractyes

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