2015
DOI: 10.1155/2015/964512
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Cost Effectiveness of ‘On Demand’ Hiv Pre-Exposure Prophylaxis for Non-Injection Drug-Using Men Who Have Sex with Men in Canada

Abstract: Pre-exposure prophylaxis for individuals who are at high risk for HIV infection has been shown to be effective at preventing infection. The authors of this article aimed to investigate whether ‘on-demand’ pre-exposure prophylaxis is also cost effective, specifically in Canada in a population of men who have sex with men, who are at higher risk for HIV infection. The authors used multiple methods to generate a thorough cost-effectiveness analysis that has implications for the use of this therapy in Canada.

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Cited by 43 publications
(53 citation statements)
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References 32 publications
(32 reference statements)
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“…Our conclusion on the potential cost-savings with HIV vaccines is consistent with Long et al in scenarios with similar assumptions [56]. The results from this analysis differ from a recent economic analysis of Canadian MSM where PrEP was cost-saving in almost all scenarios [57]. The different result may be due to lower Canadian drug costs and the selection of HIV incidence rates, as the Canadian study applied a constant number needed to treat (NTT) from a high-risk Peruvian population with 5% annual HIV incidence while our analysis parameterized baseline infection rates to age-specific CDC HIV incidence in the US.…”
Section: Discussionsupporting
confidence: 82%
“…Our conclusion on the potential cost-savings with HIV vaccines is consistent with Long et al in scenarios with similar assumptions [56]. The results from this analysis differ from a recent economic analysis of Canadian MSM where PrEP was cost-saving in almost all scenarios [57]. The different result may be due to lower Canadian drug costs and the selection of HIV incidence rates, as the Canadian study applied a constant number needed to treat (NTT) from a high-risk Peruvian population with 5% annual HIV incidence while our analysis parameterized baseline infection rates to age-specific CDC HIV incidence in the US.…”
Section: Discussionsupporting
confidence: 82%
“…Although a formal economic analysis is outside the scope of this study, the increased efficiency predicted by our findings will translate into a higher cost-effectiveness for PrEP. Our epidemiological model results may be incorporated into a cost-effectiveness analysis, as others have done [34]. Overall, taking into account the direct and indirect effects, implementing PrEP based on the indications in the CDC guidelines strikes a good balance between impact and efficiency according to our study, with 33% of infections averted and an NNT of 25.…”
Section: Discussionmentioning
confidence: 63%
“…In terms of the type of mathematical model used in these seven studies, one used a static decision model (24), three a dynamic deterministic compartmental model (25)(26)(27), one a dynamic stochastic microsimulation model (28), while two did not use mathematical models, either because they simply used the number needed to treat to estimate the average cost of the PrEP interventions to prevent one infection (29) or estimated the resources required to deliver PrEP and did not evaluate the costeffectiveness of introducing it (30). The difference between static and dynamic models is that static models, typically used in health economics, do not take into account the fact that HIV is an infectious diseases and therefore that by preventing directly one infection, more (secondary) infections are likely to be averted(31).…”
Section: Recent Studies: Search Criteria and Summary Modelling Considmentioning
confidence: 99%
“…Of the seven studies we identified, three were among MSM (24,25,29), three in heterosexual sero-different couples (26)(27)(28) and one in the general population attending primary health care clinics (30). Those conducted among MSM were all North American -from the US in general (24), Los Angeles (25) and Canada (29). The studies that focussed on sero-different couples were conducted from an African perspective -South Africa(28), Nigeria (26) and Uganda (27) and finally there was one based on attendees at primary health care clinics in South Africa (30).…”
Section: Recent Studies: Model Comparisons and Main Epidemiological Amentioning
confidence: 99%
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