I have a question regarding the usefulness of a confidence interval when calculating ORs in a multivariable logistic regression model.

My data is not a sample, but the entire population of people who died in a given year (i.e. I have ~100,000 cases). What I want to do is calculate the odds of receiving a specific type of care, comparing a set of variables (men vs women, higher income vs lower income levels, etc).

When calculating ORs in SAS, obviously it presents 95%CIs as well. My question is this: is it meaningful to present these values in a paper or can I leave them out? What is the rationale to do one or the other?

I could only come up with the following rationale to leave them in: perhaps we could interpret the entire population of a given year as a random sample of the population in all other years? So it is in that sense considered a sample?

Many thanks in advance!

Arno