An IP reviewing CAUTI surveillance data included event, process, and time data. Which data category did they fail to include?

• A. Laboratory data
• B. Demographic data
• C. Procedure data
• D. Outcome data

Answer: (B)

Infection surveillance relies on different data types to paint a full picture of how infections affect a population. Event data tells you that the infection occurred, process data shows what was done (like catheter management), and time data pinpoints when the event happened. To understand who is being affected and to compare rates across groups, you need demographic data such as age and sex. Without demographic information, you can describe that a CAUTI occurred and when it occurred, but you can’t assess risks by patient characteristics or tailor prevention efforts to specific populations. While laboratory data can support confirmation of infection and outcome data can show consequences, the missing piece that limits interpretation of the population is demographic data.