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O19.2 Pre-exposure prophylaxis and risk compensation: evidence of decreased condom use at three-month follow-up among predominantly gay male participants in the vicprep study

2015· article· en· W2408866757 on OpenAlexaff
JBF de Wit, Dean Murphy, Luxi Lal, JM Audsley, N Roth, Andrew Moore, BK Tee, Tim Read, EJ Wright

Bibliographic record

VenueSexually Transmitted Infections · 2015
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsInstitute of Infection and Immunity
FundersCilagNSW Ministry of HealthMedical Research CouncilRijksinstituut voor Volksgezondheid en MilieuNational Health and Medical Research CouncilDepartment of Health, State Government of VictoriaGilead SciencesAustralian GovernmentNational Institutes of HealthBristol-Myers SquibbAids FondsQueensland Health
KeywordsMedicineCondomSerodiscordantCasualDemographyPre-exposure prophylaxisRisk compensationPsychological interventionGynecologyHuman immunodeficiency virus (HIV)Men who have sex with menFamily medicineViral loadPsychiatryAntiretroviral therapy

Abstract

fetched live from OpenAlex

<h3>Introduction</h3> Pre-exposure prophylaxis (PrEP) decreases HIV risk among uninfected people, but risk compensation may affect prevention benefits. PrEP trials and extensions found no decrease in condom use, but included extensive prevention education. We investigated condom use in the VicPrEP study, the first implementation study of PrEP in routine practice in Australia. <h3>Methods</h3> Enrollment commenced in June 2014, with capacity for 115 at risk HIV negative gay/bisexual men, transgender people and heterosexual serodiscordant couples seeking to conceive. Participants are recruited from three GP clinics, one sexual health clinic, and one hospital clinic in Melbourne. Participants consent to using daily Truvada for at least one year, and complete baseline and three-monthly clinical evaluations and self-report behavioural surveys. <h3>Results</h3> At 31 March 2015, 92 participants completed baseline surveys, and 76 completed three-month follow-up; all gay/bisexual men (mean age 37.7 years; 67.4% university educated; 75.0% Australian born). In the past three months half had regular partners (Baseline: 48.9%, Follow-up: 55.8%; ns); nearly all had casual partners (Baseline: 90.2%, Follow-up: 88.2%; ns). Mean frequency of intercourse in the past three months remained stable for regular partners (Baseline: 19.0, Follow-up: 18.9; ns), and decreased for casual partners (Baseline: 19.1, Follow-up: 16.0; p = 0.056). Condom use was assessed on a 5-point scale (1 = never, 5 = always), and decreased with regular partners (Baseline: mean 2.0 [SD 1.6], Follow-up: mean 1.7 [SD 1.3]; p = 0.048), and casual partners (Baseline: mean 3.0 [SD 1.3], Follow-up: mean 2.5 [SD 1.4]; p = 0.002). Serosorting, viral load sorting, strategic positioning and withdrawal remained unchanged with regular and casual partners. <h3>Conclusion</h3> This is the first study documenting a decrease in condom use amongst HIV-negative gay/bisexual men using PrEP. Findings highlight the potential for risk compensation to reduce benefits of PrEP when implemented in routine practice, if adherence is insufficient. This underscores the continued importance of promoting sexual risk reduction practices, including condom use. <h3>Disclosure of interest statement</h3> The VicPrEP study was funded by the Victorian Department of Health and study drug was supplied by Gilead. John de Wit receives research funding from the National Health and Medical Research Council, the Australian Government Department of Health, the NSW Ministry of Health, the Victorian Department of Health, Queensland Health, Western Australian Department of Health, Gay Men9s Health SA, ACT Health, Tasmanian Council on AIDS, Hepatitis and Related Diseases, the Netherlands Institute of Public Health and Environment (RIVM), AIDS Fonds, The Netherlands, and UNESCO Bangkok. He has received lecture sponsorship from BMS Australia, is a board member of ACON Health Inc and a member of the Steering Committee of the HIV in Europe initiative. Dean Murphy receives funding from the Australian Government Department of Health and a research grant from the Victorian Department of Health. Luxi Lal has no interests to disclose. Jennifer Audsley has no interests to disclose. Norman Roth has received honoraria for Advisory Boards and/or educational events from ViiV, MSD, Gilead and Bristol Myers Squibb. Richard Moore has received financial assistance for education from Gilead, Viiv and Merck. BK Tee has no interests to disclose. Tim Read works at Melbourne Sexual Health Centre which receives study payments from Gilead. Edwina Wright receives funding from a research grant from NIH, research funding from the Victorian Department of Health and unrestricted research funds from Gilead, Abbott, Janssen Cilag, MSD and Boehringer Ingelheim. She has also received funding that has been used for research purposes only from ViiV, Merck, Gilead, and Abbott for consultancy work, payment for lectures from ViiV and payment for developing educational resources for ViiV, MSD and Gilead.

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)0.002
metaresearch head score (Gemma)0.002
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 score0.067
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.070
GPT teacher head0.347
Teacher spread0.277 · 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

Citations6
Published2015
Admission routes1
Has abstractyes

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