COMPARING DATA ACROSS GROUPS
Make sure to examine data as a whole, but also think of groups that might present different patterns.
For example, the following survey item: “Providers in the clinic are open to ideas from staff about how to improve care processes.”
Averaging answers from both staff and providers, could demonstrate a majority answer neither agree nor disagree. However, when examined separately, staff and provider responses differ in important ways.
Similarly, there are likely groups of patients whose data you want to examine separately.
Groups to consider: male and female patients, members of different racial/ethnic groups, patients with different types of insurance
For example, the following survey item: My provider(s) include me in making decisions about treatment. Examining patients as a whole may reveal moderate scores, but may mask differences if you compare English speaking patients to those who use an interpreter during their clinic visits.