The latest from the Health Care Funding Blog
How do we measure change if our data is wrong?
This site is about funding, it’s about how we fund healthcare, and about how we fund hospitals. It’s about how we measure and analyze the effect that different funding methods have on the healthcare so that, in the end, we can design better systems. To do this, we analyze vast amounts of data. We rely heavily on the diagnostic data captured in administrative data to adjust our comparisons for differences in the complexity of patients both over time and across hospitals. A crucial question for us and other health services researchers is, “how reliable are the data we use?”
Hospitals and Quality: some initial thoughts on measurement and funding
We pay people to do things. It’s an underpinning of western civilization, which has evolved to a point where we pay people to do more of things we want. This concept holds remarkably true right up until we begin talking about healthcare. In healthcare, we either do not pay people to do things better (often in public systems), or paying people to do things better doesn’t seem to work. Paying hospitals for what they do is common elsewhere.
Evidence and Policy: How do we make a difference?
The track record for traction between evidence and policy is weak. We can also see that the relationship between evidence and policy is fluid, and subject to change based on politics, governments, public opinion and a host of other factors. How do we as researchers and subject experts, get our research and our voices heard by the right people? Read more
