In previous work by our team, we built a model that simulated OA patient flows, healthcare resource use and costs. We will measure individual patient preferences, and include these in the simulation model. Then, we will use the model to evaluate how patient outcomes and system performance changes with new health interventions, taking into account how many patients would choose those interventions.

We will look at two different policies aimed at addressing wait times for surgery. The first is a referral management policy which would give patients information about wait times for different surgeons, and allows them to choose their preferred surgeon or the surgeon with the shortest wait time. The second policy offers patients the choice of an evidence-based conservative medical management program. Our study will look at whether patients would use this alternative program and how this varies based on things like cost. Depending on patient choices, both policies may shorten overall wait times, improve outcomes and reduce costs.