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closeCost-effectiveness time horizon question
Posted by ericross11 on 11 Jun 2015 at 19:52 GMT
I'd like to applaud the authors for an innovative and clinically-relevant analysis - I think the risk calculators presented here could be very useful, and I hope they gain wide use.
I have some questions and concerns with regard to the cost-effectiveness analysis, however. In the methods section, the authors note that "we modeled a 1-year duration of PrEP intervention costs and effectiveness to better reflect real-world patient-provider treatment plans." From looking at their model calculations, I believe this means they calculated, over a 1-year horizon: 1) the costs of providing PrEP, and 2) the number of HIV infections averted by PrEP.
However, in their cost-effectiveness analysis, it appears to me that the authors then multiplied their 1-year estimate of infections averted by lifetime estimates of: 1) the costs averted by preventing one case of HIV, and 2) the QALYs gained by preventing one case. In essence, this approach seems to assume that if using PrEP can avert an HIV infection for 1 year, it will then confer perfect lifelong protection from HIV for that person - at zero cost! Needless to say, this would be a very tenuous assumption. And this assumption could result in a substantial underestimation of the cost-effectiveness ratio of PrEP.
Could the authors confirm if my interpretation of their methods is correct? Please correct me if not!
Eric Ross, University of Michigan Medical School
RE: Cost-effectiveness time horizon question
anderschen replied to ericross11 on 24 Sep 2015 at 21:16 GMT
Thank you for your comment. You are correct that we model the number of independent HIV transmission events prevented during the 1 year duration of PrEP intervention. Subsequent transmission events could occur and would not be captured in our model, thus negating the ongoing benefit and potentially overestimating the cost-effectiveness. At the same time, we also disregard secondary transmission events– those additional transmissions that would have occurred from the averted transmission. This would potentially underestimate the cost-effectiveness. These are limitations of our approach. Our model predicts well compared to real world data and to other existing models, but additional prospective validation would still be warranted.