Benchmarking & Clinician Profiles
Risk adjusted practice profiling
In the following questions assume that we have followed two clinicians, Smith
and Jones, and constructed the decision trees in Figure 1.
Figure 1: Practice Patterns of Dr. Jones and Smith
- What is the expected length of stay for each of the clinicians?
- What is the expected length of stay for Dr. Smith if he were to take care of
patients of Dr. Jones?
- What is the expected length of stay for Dr. Jones if he were to take of patients
of Dr. Smith?
Question 2: The following table shows the
observed and expected length of stay for 30 patients.
comparison of means to test that the expected and observed length of stay are
Assuming normal distribution of the length of stay, use risk-adjusted
control chart to plot the data. Make sure that control limits are derived
from the expected values and observations are contrasted to these
limits. This analysis can be done using Tukey or XmR and you
need to select which chart produces tighter control limits.
The conclusions you arrive at based on (a) paired
comparison of expected and observed length of stay and (b) the
risk-adjusted control charts should be the same if in both situations we
were calculating the control limits from the same number of cases. Are they?
|t-Test: Paired Two Sample for
|Hypothesized Mean Difference
|t Critical one-tail
How to provide feedback to clinicians
Narrated lecture requires use of Flash►
- Practice profiling PubMed►
- Importance of risk adjustment in measuring performance in primary care PubMed►
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