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A reality check: the cost of making post-exposure prophylaxis available to gay and bisexual men at high sexual risk

2000· letter· en· W1995683245 on OpenAlexaffabout
Sophie Low-Beer, Amy E. Weber, Kim Bartholomew, Monica A. Landolt, Doug Oram, Julio Montaner, Michael V. O’Shaughnessy, Robert S. Hogg

Bibliographic record

VenueAIDS · 2000
Typeletter
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsAIDS VancouverSt. Paul's HospitalSimon Fraser UniversityCegep de Sept IlesUniversity of British Columbia
Fundersnot available
KeywordsPost-exposure prophylaxisMedicineFamily medicinePublic healthIntervention (counseling)Human immunodeficiency virus (HIV)AccidentalMedical prescriptionPsychiatryNursing

Abstract

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The successful use of antiretroviral therapy for post-exposure prophylaxis (PEP) in cases of accidental and occupational exposures has prompted researchers, clinicians and public health decision makers to ask whether PEP would be effective in cases of sexual exposures. Although the answer to this question remains unknown, some factors that need to be considered have been identified. These include: the frequency of exposure, the probability of knowing the HIV status of the source, the elapsed time between exposure and possible intervention, and the impact PEP may have on risk reduction behaviours. In addition, given the limited resources available for the management of HIV disease, the cost of PEP will play a certain role in deciding its future. Other studies [1–3] have investigated whether using PEP for sexual exposures to HIV is effective. Pinkerton et al. [3] conducted an in-depth cost–utility analysis, and concluded that PEP should be recommended to partners of infected persons, to patients reporting unprotected anal intercourse, and possibly in cases in which there is a substantial likelihood that the partner is infected. In terms of clinical practice, no consensus has been established among physicians on the use of PEP for non-occupational exposures. Although some physicians are reluctant to prescribe antiretroviral prophylaxis, others appear to have a favourable attitude towards the prescription of PEP for sexual exposures [4] For example, in San Francisco, CA, USA, two clinics have recently opened and are currently providing anti-HIV prophylaxis after high-risk sexual exposures [5,6] In the light of the uncertainty surrounding this issue and its possible implications, leading commentators in the area have made a call for the development of rational guidelines [4,7] The following cost analysis is a step in this direction because the wise allocation of scarce resources is an integral part of any HIV management strategy. Although a few economic analyses have been conducted, no studies have investigated how much it would cost to provide PEP to a known at-high-sexual-risk population. The purpose of our study was to determine the cost of providing post-exposure prophylaxis to the male gay and bisexual community at high sexual risk of contracting HIV in the West End of Vancouver, British Columbia, Canada. A cost estimate was obtained by multiplying the cost of antiretroviral prophylaxis per course by the number of gay and bisexual men at high sexual risk and by the number of risk incidents per person per year. To determine how many men were at high risk, responses on a self-administered questionnaire given to a prospective cohort of gay and bisexual men beginning in May 1995 were used. High sexual risk was defined as having at least one episode of unprotected anal sex (insertive or receptive) with a casual male partner in the previous year, or having at least one episode of unprotected anal sex (insertive or receptive) with an HIV-positive man in the previous year. The proportion of men in the West End who identified themselves as either gay or bisexual was derived from a random telephone survey, and the cost of a course of PEP was taken from the British Columbia Centre for Excellence in HIV/AIDS Drug Treatment Program. Monte Carlo methods were used to simulate confidence limits around the cost estimate. Out of an estimated total of 5100 (95% confidence interval: 4700–5400) gay and bisexual men in Vancouver's West End, 1391 (27.3%) were classified as being at high risk of contracting HIV through unsafe sexual behaviours on the basis of prospective cohort data. The average number of risk incidents per person per year was three (0–6) and, depending on the recommended regimen, stavudine and lamivudine or triple therapy with nelfinavir, the average cost of PEP varied from Can$530 to 903 with an average price of Can$560. On the basis of these assumptions and the Monte Carlo simulation, the potential cost of making post-exposure prophylaxis available to all those at high sexual risk in the West End was estimated to be Can$2 259 780 (95% confidence interval: Can$800 000–4 100 000). The above minimum cost estimate, Can$800 000 per annum, for providing PEP to at-risk gay and bisexual men in Vancouver's West End is approximately equal to British Columbia's current budget for all accidental exposures in the province. This is an important fact considering the limited resources available to fight HIV disease and Canada's universal healthcare system. In light of the numerous uncertainties regarding the effectiveness of PEP for sexual exposures, the growing cost of providing anti-HIV therapy for confirmed positive individuals, and the potential cost of expanding the use of PEP to include high-risk consensual sex, we feel that other preventative strategies should take priority. Future research in this area is needed so that clinicians, researchers, policy makers and HIV-positive persons can gain a better sense of the issues surrounding and the implications of making PEP available for sexual exposures. Sophie Low-Beer Amy E. Weber Kim Bartholomew Monica Landolt Doug Oram Julio S. G. Montaner Michael V. O'Shaughnessy Robert S. Hogg

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)0.000
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: Other · Consensus signal: none
Teacher disagreement score0.676
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0050.000

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 head0.046
GPT teacher head0.335
Teacher spread0.289 · 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
GenreOther

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

Citations24
Published2000
Admission routes2
Has abstractyes

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