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Record W1993524572 · doi:10.1089/aid.2013.0090

Knowledge of and Opinions on HIV Preexposure Prophylaxis Among Front-Line Service Providers at Canadian AIDS Service Organizations

2013· article· en· W1993524572 on OpenAlexafffundabout
Heather Senn, James Wilton, Malika Sharma, Shawn Fowler, Darrell H. S. Tan

Bibliographic record

VenueAIDS Research and Human Retroviruses · 2013
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsSt. Michael's HospitalUniversity of Toronto
FundersCanadian Institutes of Health ResearchOntario HIV Treatment NetworkUniversity of TorontoStyrelsen för Internationellt Utvecklingssamarbete
KeywordsPre-exposure prophylaxisEmtricitabineMedicineFamily medicineHuman immunodeficiency virus (HIV)TenofovirOddsService providerLogistic regressionService (business)Men who have sex with menAntiretroviral therapyInternal medicineViral loadBusiness

Abstract

fetched live from OpenAlex

Oral daily tenofovir/emtricitabine (Truvada) is approved in the United States for HIV preexposure prophylaxis (PrEP) but has generated controversy in the media and within HIV-affected communities. We conducted an online survey about PrEP-related knowledge, experience, opinions, and learning needs, and received 160 responses from service providers at Canadian AIDS Service Organizations. Respondents were cautiously optimistic about PrEP and 48.8% believed that PrEP warranted Health Canada approval. In multivariable logistic regression, support for PrEP approval was associated with more years working in HIV (odds ratio=1.89 per decade, 95% CI=1.10, 3.25), low baseline familiarity with PrEP (OR=3.24, 95% CI=1.01, 14.41), and knowing someone who had used PrEP (OR=4.39, 95% CI=1.28,15.08). Participants major concerns about PrEP were similar to those highlighted in other publications, and some issues specific to certain target populations were raised. Several participants (26.2%) had been asked about PrEP in the past year and 10.6% knew of one or more Canadian who had used PrEP. Despite clients' interest, most participants thought that they (60.6%) or their organization (63.1%) did not have enough current knowledge about PrEP, highlighting the need for further education on this novel HIV prevention strategy.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.205
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
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 head0.052
GPT teacher head0.353
Teacher spread0.301 · 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.

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

Citations28
Published2013
Admission routes3
Has abstractyes

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