The department has a lot of data. A lot of what it pays for is on, essentially, a fee-for-service basis, so they have a lot of data about the services that are provided under the non-insured health benefits program. They were, in fact, doing quite a bit of analysis of that data, but it was mostly analysis that was helping them manage the payments rather than helping them understand the impacts of their program on the population.
This is a program for which, first of all, we found that they do have quite a bit of data. They just need to use it in other ways, not just to administer payments but also to understand the impact.
On the other hand, there was the other program, the children's oral health initiative, which is not paid for on a fee-for-service basis, so they didn't have the same level of information on that program, although, when they had gone in and reviewed the program, they found it was making a difference in oral health.
We indicated that there were signs of a decrease in enrolment and a decrease in service, which may have, in fact, been just the fact that they weren't tracking that information the way they should have been. I think, on that program, they need to do a better job on the data collection.