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Bernie J O'brien

Publications and source records attributed to Bernie J O'brien.

2 recordsLinked to original sources

Analysis of a pharmaceutical risk sharing agreement based on the purchaser's total budget.

Many public and private healthcare payers use formularies as a tool for controlling drug costs and quality. Although the price per dose is often negotiated as part of the formulary listing, payers may still face unlimited financial risk if demand is much greater than expected at the time of listing. The requirement for drug manufacturers to submit a budget impact analysis as part of the drug approval process suggests that payers are concerned not only with the cost effectiveness of a proposed drug but also with the potential increase in total expenditures that may result from new formulary listings. In this paper we define and analyze a model for financial risk sharing based on the total budget. Our analysis focuses on optimal decision making by manufacturers in the presence of a specific risk sharing agreement. We derive a manufacturer's optimal statement of budget impact and discuss several properties of the optimal solution.

Cost-Benefit Analysis↗

Advances in risk-benefit evaluation using probabilistic simulation methods: an application to the prophylaxis of deep vein thrombosis.

OBJECTIVE: To demonstrate the use of probabilistic simulation modeling to estimate the joint density of therapeutic risks and benefits. Published data are used to introduce the risk-benefit acceptability curve as a novel method of illustrating risk-benefit analysis. STUDY DESIGN AND SETTING: Using published data, we performed a second-order Monte Carlo simulation to estimate the joint density of major bleeding and deep vein thrombosis (DVT) secondary to enoxaparin or unfractionated heparin. Within a Bayesian framework, beta-distributions for the probabilities of experiencing a DVT and major bleed were derived from the clinical trial, and incremental probabilities were calculated. RESULTS: The incremental risk-benefit pairs from 3,000 simulations are presented on a risk-benefit plane. To accommodate different risk preferences, the results are also illustrated using a risk-benefit acceptability curve, which incorporates different risk-benefit acceptability thresholds (mu), or the number of major bleeds one is willing to accept in order to avert one DVT. Finally, a net-benefit curve is used to illustrate the risk-benefit ratio and the derivation of 95% confidence intervals around the ratio. CONCLUSION: Modern simulation methods permit the estimation of the joint density of risks and benefits with their associated uncertainty, and within a Bayesian framework, facilitate the estimation of the probability that a therapy is net-beneficial over different preference thresholds for risk-benefit trade-offs.

Anticoagulants↗