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Enhancing the potential benefits of HIV post-exposure prophylaxis

2006· letter· en· W2092920556 on OpenAlexaboutno aff
Michelle E. Roland

Bibliographic record

VenueAIDS · 2006
Typeletter
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePost-exposure prophylaxisOutreachPre-exposure prophylaxisEnvironmental healthCost–benefit analysisCost effectivenessHuman immunodeficiency virus (HIV)Medical prescriptionRisk assessmentFamily medicineRisk analysis (engineering)NursingMen who have sex with men

Abstract

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In this issue, Herida et al. [1] show that an untargeted HIV post-exposure prophylaxis (PEP) programme in France is not cost effective. Previous French, Canadian and American papers have suggested that PEP guidelines result in increased prescribing for low-risk exposures [2–4]. French guidelines recommend that clinicians consider ‘the perception of the risk leading a person to request prophylaxis’ when determining PEP eligibility. In contrast, a targeted PEP programme in San Francisco with clear eligibility criteria was cost effective [5,6]. Taken together, these studies suggest that PEP policies and programmes should target individuals at highest risk of HIV exposure and encourage clinicians to adhere to evidence-based prescription criteria. Cost-effectiveness studies of non-occupational PEP have evolved from modeling HIV transmission risk based on exposure type and likelihood of source HIV infection, efficacy at different adherence levels, and cost [7–10] to applying such models to real-life programmes [1,5,6]. Early studies showing that PEP was only cost-effective after the highest-risk exposure scenarios raised concerns about programmes that offered PEP after lower-risk exposure circumstances. Such concerns are borne out in the current study, in which fewer than 16% of individuals who were prescribed PEP had an exposure estimated to be cost saving or cost effective. The San Francisco study also included exposure characteristics that, in isolation, were not cost effective. However, by targeting outreach and counseling clients about the potential risks and benefits of PEP based on their exposure, most individuals who chose PEP were at high risk of HIV exposure and transmission. If a potentially infectious body fluid comes in contact with a mucous membrane (e.g. eye or oral, nasal or genital mucosa) or non-intact skin (punctured, cut or abraded), HIV transmission is possible and consideration of PEP is warranted. Anyone with such an exposure with a source who is known to be HIV infected or who is at significant risk of HIV infection should be offered PEP. The healthcare provider must help the client realistically assess the risk of acquiring HIV infection as a result of the exposure and make an informed decision about taking PEP. The higher the risk, the more directive the healthcare provider should be towards the decision to take PEP. Ultimately, if the client meets the criteria, he/she should be given the opportunity to use PEP. Clinicians should be willing not to prescribe PEP and to provide supportive counseling and referrals when PEP is not indicated. Some guidelines distinguish between recommending or offering PEP based upon the HIV status of the source [11]. Of note is the fact that the two documented seroconversions in this study among individuals without other known exposures were in persons whose exposure was with a source of unknown HIV status. Three out of seven seroconversions occurred in individuals whose source HIV status was unknown in San Francisco [12]. Important information, even about sources who were initially considered ‘anonymous’, can often be obtained by telephone, e-mail or in person and does not require actual testing. Individuals seeking PEP should be encouraged to speak with their source partner about HIV status and risk. It may be difficult for a potentially exposed individual to feel confident about a source's claim that he/she is HIV negative. To evaluate the likelihood that the source of exposure may be HIV infected, local HIV risk demographics must be considered. For PEP to be a truly effective HIV prevention tool, it must be integrated into a comprehensive prevention programme. Responding to a single sexual exposure with a biomedical intervention without addressing the risk context is a missed opportunity. Subsequent HIV risk has not increased in individuals who were offered five sessions of risk reduction counseling as part of their PEP intervention [13]. A randomized study comparing risk behavior and seroconversion in individuals randomly assigned to two or five sessions of counseling is currently under analysis. The healthcare provider must also help the client make sense of confusing messages about low per-contact transmission rates, a low risk of source HIV infection based on demographics, and prevention messages that emphasize the need always to have protected sex. The challenge is to provide reassurance and to motivate the client's concern about staying HIV negative and support efforts to reduce subsequent risk. A Russian roulette or other culturally appropriate analogy may be useful. There may be modifications to the French PEP programme that could enhance its cost effectiveness, including the use of two rather than three drugs for PEP, and the elimination of routine laboratory testing [14]. Future cost-effectiveness analyses should take into account the costs associated with adverse drug reactions, which are probably more common with three-drug based regimens [14]. In summary, French PEP guidelines resulted in the increasing use of PEP for lower-risk exposures and the programme was not cost effective. In contrast, a programme that targeted outreach to the highest-risk populations and employed clear prescribing criteria was cost effective. No cost-effectiveness analyses to date have considered the costs and potential benefits associated with the risk reduction counseling that should always accompany PEP as an HIV prevention strategy. Incorporating PEP services into HIV prevention, occupational health and sexual assault treatment programmes may increase the likelihood that outreach will be appropriately targeted and that valuable risk reduction, prevention and trauma counseling will accompany the biomedical intervention.

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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)0.000
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.621
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.011
GPT teacher head0.265
Teacher spread0.253 · 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 designNot applicable
Domainnot available
GenreCommentary

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".

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Citations9
Published2006
Admission routes1
Has abstractyes

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